Nvidia Gpu Compute Capability List Jobs in Usa
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Senior GenAI & High Performance Computing (HPC) Delivery Engineer
✦ New 🏢 Dell
$153,850
Senior GenAI & High Performance Computing (HPC) Delivery Engineer
Dell Technologies has delivered HPC solutions for 25+ years, including support for Bright Cluster Manager (now NVIDIA BCM) since 2011. Today, Dell is NVIDIA’s preferred partner for GenAI Factory systems, using Dell GenAI PowerEdge XE servers and NVIDIA NVAIE to help customers build and scale end to end GenAI and High-Performance Computing environments.
Join us to do the best work of your career and make a profound social impact as a Senior GenAI & High Performance Computing (HPC) Delivery Engineer on our Service Delivery Team in Austin, Texas or Remote United States.
What you’ll achieve
We’re seeking a Senior GenAI & HPC Engineer with deep experience in GPU accelerated systems, Linux performance tuning, and benchmarking. This role is highly hands on and customer facing, supporting onsite deployments across the U.S. for advanced HPC and GenAI solutions.
You will work as a part of a team to help build, integrate, and test some of the world’s largest multi GPU systems, benchmark them using industry standard tools, and deliver the next generations of AI and HPC infrastructure.
You will:
• Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC with NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are a plus)
• Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools
• Produce as-built documentation, performance reports, and share best practices amongst the team.
• Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads
• Work directly with customers onsite (travel both regionally and across the U.S.)
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
• 7+ years with HPC or GenAI clusters, GPU based systems, AI infrastructure, or related fields
• Deep hands on experience with GPU deployment, configuration, and multi-node testing using NVIDIA Base Command Manager
• Proficiency with benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, OSU Microbenchmarks
• Red Hat certification (RHCSA/RHCE) or 7+ years of relevant RH distros experience
• Experience with GenAI/HPC networking (InfiniBand and/or RoCE)
• Experience working in Linux based parallel computing environments at scale
• Experience with containers/orchestration (Docker, Singularity/Apptainer, Kubernetes, Slurm)
• Ability to travel up to 70% of the time across the U.S . as needed for projects
• Strong customer facing and communication skills
Desirable Requirements
• Bachelor’s degree
• NVIDIA certifications (NCA, NCE, DGX)
• Experience with NVIDIA UFM, Infiniband, and SpectrumX fabrics
• Exposure to hybrid cloud or GPU cloud environments
• Experience with GPU observability/performance profiling tools
Compensation
Dell is committed to fair and equitable compensation practices. The salary range for this position is $153,850 to $199,100.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
Job ID: R286397
Dell Technologies has delivered HPC solutions for 25+ years, including support for Bright Cluster Manager (now NVIDIA BCM) since 2011. Today, Dell is NVIDIA’s preferred partner for GenAI Factory systems, using Dell GenAI PowerEdge XE servers and NVIDIA NVAIE to help customers build and scale end to end GenAI and High-Performance Computing environments.
Join us to do the best work of your career and make a profound social impact as a Senior GenAI & High Performance Computing (HPC) Delivery Engineer on our Service Delivery Team in Austin, Texas or Remote United States.
What you’ll achieve
We’re seeking a Senior GenAI & HPC Engineer with deep experience in GPU accelerated systems, Linux performance tuning, and benchmarking. This role is highly hands on and customer facing, supporting onsite deployments across the U.S. for advanced HPC and GenAI solutions.
You will work as a part of a team to help build, integrate, and test some of the world’s largest multi GPU systems, benchmark them using industry standard tools, and deliver the next generations of AI and HPC infrastructure.
You will:
• Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC with NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are a plus)
• Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools
• Produce as-built documentation, performance reports, and share best practices amongst the team.
• Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads
• Work directly with customers onsite (travel both regionally and across the U.S.)
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
• 7+ years with HPC or GenAI clusters, GPU based systems, AI infrastructure, or related fields
• Deep hands on experience with GPU deployment, configuration, and multi-node testing using NVIDIA Base Command Manager
• Proficiency with benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, OSU Microbenchmarks
• Red Hat certification (RHCSA/RHCE) or 7+ years of relevant RH distros experience
• Experience with GenAI/HPC networking (InfiniBand and/or RoCE)
• Experience working in Linux based parallel computing environments at scale
• Experience with containers/orchestration (Docker, Singularity/Apptainer, Kubernetes, Slurm)
• Ability to travel up to 70% of the time across the U.S . as needed for projects
• Strong customer facing and communication skills
Desirable Requirements
• Bachelor’s degree
• NVIDIA certifications (NCA, NCE, DGX)
• Experience with NVIDIA UFM, Infiniband, and SpectrumX fabrics
• Exposure to hybrid cloud or GPU cloud environments
• Experience with GPU observability/performance profiling tools
Compensation
Dell is committed to fair and equitable compensation practices. The salary range for this position is $153,850 to $199,100.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
Job ID: R286397
Not Specified
E
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA
✦ New 🏢 Enigma
Salary not disclosed
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA
Title: Machine Learning Engineer
Location: San Jose, CA
Responsibilities:
- Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
- Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
- Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
- Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
- Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
- Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
- Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.
Educational Qualifications:
- Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
- Strong systems/ML engineering with exposure to distributed training and inference optimization.
Industry Experience:
- 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
- Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
- Experience collaborating across Research, Platform/Infra, Data, and Product functions.
Technical Skills:
- Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
- Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
- Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
- Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
- Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
- Write performant, maintainable code
- Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA
Remote working/work at home options are available for this role.
internship
Industrial Engineer I (Nights - 404 Shift) - Opportunity to work on cutting-edge GPU-accelerated technology (FLORENCE)
Salary not disclosed
JOB SUMMARY
The Industrial Engineer supports manufacturing sustainment operations and new product introductions (NPI) for advanced AI/ML and GPU-accelerated server rack platforms. This role is responsible for optimizing production systems to ensure safety, quality, delivery, cost, and scalability objectives are achieved. The position plays a critical role in production ramp readiness, time standard integrity, capacity modeling, layout optimization, and continuous improvement execution within a high-complexity, fast-paced manufacturing environment.
This position is part of the core team launching new manufacturing technologies at our production facility in Florence, KY. It is a fully on-site role, and relocation assistance may be available for candidates who reside more than 50 miles from the Florence area. The ideal candidate has experience supporting the assembly, testing, and integration of complex electronic hardware systems in a manufacturing environment. This is a junior individual contributor position requiring strong cross-functional collaboration in a high-constraint environment to deliver data-driven process improvements.
SHIFT / SCHEDULE:
The Industrial Engineer is required to work 12-hour shifts, on the following schedule:
- Shift 404: (nights) 6:00PM to 6:00AM, Thursday through Saturday every week and Wednesday through Saturday every other week.
- For example: 36 hours on week 1 (Thursday - Saturday), 48 hours on week 2 (Wednesday - Saturday), 36 hours week 3, etc.
- Occasional overtime may be required, depending on business needs.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Partner cross-functionally with Manufacturing Engineering, Quality, Operations, Supply Chain, and Test Engineering to accelerate new product introductions (NPI) and ensure manufacturing readiness.
- Develop and validate time standards, labor models, and capacity plans to support production ramp and long-term scalability.
- Define workstation requirements, material flow strategies, tooling needs, and shop-floor system configuration (MES/iFactory).
- Support NPI builds, identify bottlenecks, and implement structured corrective actions to improve yield and throughput.
- Conduct time studies and work measurement analysis; maintain accurate and sustainable time standard databases.
- Monitor and improve key operational metrics, including UPH, WIP, lead time, FPY, rework rates, and labor efficiency.
- Lead layout improvements, line balancing efforts, and material handling optimization initiatives.
- Develop and maintain standard work, process documentation, and visual management systems.
- Perform root cause analysis and drive sustainable corrective actions using Lean methodologies (DMAIC, 5-Why, Kaizen).
- Ensure data alignment and configuration accuracy across ERP and manufacturing execution systems (SAP, MES, iFactory).
- Build analytical tools (Excel models, dashboards, and simulations) to support data-driven decision-making.
- Assist in scoping capital equipment needs, developing business justifications, and supporting vendor engagement through implementation.
- Support layout modeling and infrastructure planning for new production lines or facility expansions.
MINIMUM SKILLS, EXPERIENCE, AND QUALIFICATIONS
- Bachelor’s degree in Industrial, Mechanical, Electrical Engineering, or a related engineering discipline.
- 1-2 years of Industrial Engineering experience in a manufacturing environment.
- Experience performing time studies, capacity modeling, and production flow optimization.
- Strong analytical and problem-solving skills with proficiency in Microsoft Excel.
- Experience working in cross-functional production environments.
- Strong written and verbal communication skills with the ability to influence stakeholders.
PREFERRED
- Experience supporting the assembly, testing, and integration of complex electronic hardware infrastructure.
- Experience in high-volume or high-complexity NPI ramp environments.
- Familiarity with MES systems and ERP platforms (SAP preferred).
- Experience with manufacturing simulation tools or advanced data modeling.
- Lean Six Sigma certification (Green Belt preferred).
- AutoCAD or layout modeling experience.
PHYSICAL DEMANDS
The physical demands described here are representative of those required to successfully perform the essential functions of this job. The employee is frequently required to walk and may lift or carry PCs and test equipment weighing up to 50 lbs. Specific vision abilities required include close vision and extended use of computer monitor screens.
WORK ENVIRONMENT
The work environment characteristics described here are representative of those encountered while performing the essential functions of this job. The primary workstation is located on the manufacturing floor, with some time spent in an office setting. The noise level ranges from low to moderate. Required PPE in the manufacturing area includes: composite-toe shoes, hearing protection, protective eyewear, and an ESD vest. The manufacturing floor is modern, climate-controlled, and well-lit.
COMPANY BENEFITS
- Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
- 401K match
- Employee Stock Purchase Plan
- Paid Time Off
- Tuition Reimbursement
- Life, AD&D, and Disability Insurance
- Commuter Benefits
- Employee Assistance Program
- Pet Insurance
- Adoption Assistance
- Annual Merit Increases
- Community Volunteer Opportunities
The Industrial Engineer supports manufacturing sustainment operations and new product introductions (NPI) for advanced AI/ML and GPU-accelerated server rack platforms. This role is responsible for optimizing production systems to ensure safety, quality, delivery, cost, and scalability objectives are achieved. The position plays a critical role in production ramp readiness, time standard integrity, capacity modeling, layout optimization, and continuous improvement execution within a high-complexity, fast-paced manufacturing environment.
This position is part of the core team launching new manufacturing technologies at our production facility in Florence, KY. It is a fully on-site role, and relocation assistance may be available for candidates who reside more than 50 miles from the Florence area. The ideal candidate has experience supporting the assembly, testing, and integration of complex electronic hardware systems in a manufacturing environment. This is a junior individual contributor position requiring strong cross-functional collaboration in a high-constraint environment to deliver data-driven process improvements.
SHIFT / SCHEDULE:
The Industrial Engineer is required to work 12-hour shifts, on the following schedule:
- Shift 404: (nights) 6:00PM to 6:00AM, Thursday through Saturday every week and Wednesday through Saturday every other week.
- For example: 36 hours on week 1 (Thursday - Saturday), 48 hours on week 2 (Wednesday - Saturday), 36 hours week 3, etc.
- Occasional overtime may be required, depending on business needs.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Partner cross-functionally with Manufacturing Engineering, Quality, Operations, Supply Chain, and Test Engineering to accelerate new product introductions (NPI) and ensure manufacturing readiness.
- Develop and validate time standards, labor models, and capacity plans to support production ramp and long-term scalability.
- Define workstation requirements, material flow strategies, tooling needs, and shop-floor system configuration (MES/iFactory).
- Support NPI builds, identify bottlenecks, and implement structured corrective actions to improve yield and throughput.
- Conduct time studies and work measurement analysis; maintain accurate and sustainable time standard databases.
- Monitor and improve key operational metrics, including UPH, WIP, lead time, FPY, rework rates, and labor efficiency.
- Lead layout improvements, line balancing efforts, and material handling optimization initiatives.
- Develop and maintain standard work, process documentation, and visual management systems.
- Perform root cause analysis and drive sustainable corrective actions using Lean methodologies (DMAIC, 5-Why, Kaizen).
- Ensure data alignment and configuration accuracy across ERP and manufacturing execution systems (SAP, MES, iFactory).
- Build analytical tools (Excel models, dashboards, and simulations) to support data-driven decision-making.
- Assist in scoping capital equipment needs, developing business justifications, and supporting vendor engagement through implementation.
- Support layout modeling and infrastructure planning for new production lines or facility expansions.
MINIMUM SKILLS, EXPERIENCE, AND QUALIFICATIONS
- Bachelor’s degree in Industrial, Mechanical, Electrical Engineering, or a related engineering discipline.
- 1-2 years of Industrial Engineering experience in a manufacturing environment.
- Experience performing time studies, capacity modeling, and production flow optimization.
- Strong analytical and problem-solving skills with proficiency in Microsoft Excel.
- Experience working in cross-functional production environments.
- Strong written and verbal communication skills with the ability to influence stakeholders.
PREFERRED
- Experience supporting the assembly, testing, and integration of complex electronic hardware infrastructure.
- Experience in high-volume or high-complexity NPI ramp environments.
- Familiarity with MES systems and ERP platforms (SAP preferred).
- Experience with manufacturing simulation tools or advanced data modeling.
- Lean Six Sigma certification (Green Belt preferred).
- AutoCAD or layout modeling experience.
PHYSICAL DEMANDS
The physical demands described here are representative of those required to successfully perform the essential functions of this job. The employee is frequently required to walk and may lift or carry PCs and test equipment weighing up to 50 lbs. Specific vision abilities required include close vision and extended use of computer monitor screens.
WORK ENVIRONMENT
The work environment characteristics described here are representative of those encountered while performing the essential functions of this job. The primary workstation is located on the manufacturing floor, with some time spent in an office setting. The noise level ranges from low to moderate. Required PPE in the manufacturing area includes: composite-toe shoes, hearing protection, protective eyewear, and an ESD vest. The manufacturing floor is modern, climate-controlled, and well-lit.
COMPANY BENEFITS
- Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
- 401K match
- Employee Stock Purchase Plan
- Paid Time Off
- Tuition Reimbursement
- Life, AD&D, and Disability Insurance
- Commuter Benefits
- Employee Assistance Program
- Pet Insurance
- Adoption Assistance
- Annual Merit Increases
- Community Volunteer Opportunities
temporary
T
Project Manager – US Field Medical Capabilities
✦ New
Salary not disclosed
Job Title: Project Manager – US Field Medical Capabilities
Location: 50% Onsite – Lawrence Township, NJ 08648
Schedule: Monday – Friday | 8:00 AM – 5:00 PM
Duration: 12 Months Contract
Pay Rate: $69.00/hour (W2)
Position Overview
The Project Manager – US Field Medical Capabilities will provide operational and project management support for the Medical Engagement Excellence (MedEngageX) team. This role is responsible for coordinating projects, managing meetings and training initiatives, maintaining communication tools, and supporting key business processes across multiple therapeutic areas.
The position plays a critical role in ensuring efficient project execution, streamlined workflows, and effective cross-functional collaboration under the guidance of the team supervisor.
Key Responsibilities
Project & Operational Support
- Provide day-to-day administrative and project management coordination for the MedEngageX team.
- Plan and manage multiple projects, meetings, and departmental initiatives.
- Coordinate meeting logistics, scheduling, agendas, documentation, and follow-up actions.
- Maintain project trackers and facilitate communication among stakeholders.
- Partner with MedEngageX leadership to identify opportunities to improve workflows, standardize processes, and enhance operational efficiency.
- Identify opportunities where technology or AI solutions can improve productivity and streamline processes.
Congress & Booth Operations
- Coordinate Congress booth staffing, scheduling, and priority coverage with MedEngageX Directors and Field Medical teams.
- Assist in developing training materials and executive summaries for congress events.
- Establish centralized communication channels such as Microsoft Teams and OneNote for congress activities.
- Support post-congress follow-ups, including collecting session summaries, coordinating debrief sessions, and distributing key updates.
- Manage meeting logistics and reservations to ensure smooth operations during congress events.
- Support planning sessions with US Field Medical teams.
Medical Insights Support
- Coordinate Medical Insights meetings and conference calls.
- Maintain and update Medical Insights presentation decks.
- Assist with compiling and distributing call notes and insights summaries.
- Maintain and update therapeutic area distribution lists.
Clinical Trials Support
- Maintain clinical trial communication distribution lists and tracking tools.
- Support project coordination for priority clinical trials when needed.
SharePoint & System Support
- Maintain MedEngageX resources within SharePoint and Veeva Portal.
- Ensure version control, accessibility, and organized documentation across therapeutic areas.
- Support collaboration with Global Strategy & Operations teams for system updates and content management.
Intern Support
- Serve as a secondary point of contact for summer interns, helping them understand internal processes and the MedEngageX function.
Event Logistics Management
- Provide logistical support for US MedEngageX meetings and internal events.
- Assist in creating engaging communication materials such as podcasts, narrated presentations, videos, and interactive content.
- Support storage, archiving, and documentation management across MedEngageX platforms such as SharePoint and Vault.
Additional Responsibilities
- Conduct business in alignment with values and policies.
- Complete all required SOPs and training requirements within designated timelines.
- Maintain flexibility and adapt to changing priorities and deadlines.
- Assist in training new team members and supporting onboarding activities.
- Participate in professional development and on-the-job training initiatives.
Qualifications
- Minimum 4 years of experience in project management, administrative coordination, or operations support.
- Experience in biotech, pharmaceutical, or healthcare environments is preferred.
- Strong experience coordinating meetings, projects, and cross-functional initiatives.
- Demonstrated ability to manage multiple priorities and deadlines simultaneously.
Technical Skills
- Advanced proficiency with Microsoft 365 tools, including:
- Microsoft Word
- Excel
- Microsoft Teams
- SharePoint
- OneNote
- Outlook
- Familiarity with Veeva Portal or similar collaboration platforms is preferred.
- Comfort using emerging technologies and AI productivity tools (e.g., Copilot).
Core Competencies
- Excellent written and verbal communication skills
- Strong organizational and project coordination abilities
- High attention to detail and task management skills
- Ability to collaborate effectively across teams and geographies
- Ability to prioritize workload and manage competing deadlines
- Self-starter with strong accountability and professional maturity
- Ability to work independently with limited supervision
- Strong problem-solving and decision-making skills
Not Specified
Senior Computer Vision Scientist
✦ New 🏢 Harnham
Salary not disclosed
Senior Computer Vision Scientist
Fully Remote - HQ in New York, New York
$190,000-210,000 base salary + equity
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
- You will report directly to senior leadership and work closely on technical direction
- Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
- You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business, mentoring junior team members
YOUR SKILLS AND EXPERIENCE
The successful Senior Computer Vision Scientist will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
- Experience working in a scaling startup is preferred
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Cloud experience in AWS, Azure or GCP
- DevOps exposure with CI/CD pipelines preferred
- History of working on models from concept to production / end-to-end / 0-1
- Applied research background in a commercial setting required
- Publication and/or patent history highly preferred
- Experience in settings wearing multiple hats
- Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
- History of partnering with non-technical stakeholders required
- Experience owning projects
- PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal
Not Specified
G
Computer Numerical Control Machinist
✦ New
Salary not disclosed
Job Title: CNC Process Engineer
Location: Middlebury, Indiana
Job Type: Full - Time
Position Summary
The CNC Process Engineer is responsible for leading the standardization, optimization, and continuous improvement of CNC machining operations across multiple identical vertical machining cells. This role transforms subject matter expertise into standardized, repeatable documentation and structured support systems to improve reliability, repeatability, and operational uptime.
The CNC Process Engineer serves as the advanced technical escalation point for complex machining issues, drives tooling and process optimization initiatives, and collaborates closely with tooling vendors to implement innovative machining solutions.
Key Responsibilities
Process Standardization & Documentation
- Capture and formalize tribal knowledge from CNC subject matter experts into structured documentation.
- Develop, implement, and maintain Standard Operating Procedures (SOPs).
- Create Operator-Driven Reliability (ODR) tasks to support proactive maintenance.
- Standardize documentation across identical machining cells while identifying process exceptions.
- Develop troubleshooting guides, flowcharts, and decision trees for rapid issue resolution.
Technical Leadership & Escalation
- Establish clear escalation tiers for operators, skilled trades, and CNC engineers.
- Serve as the primary escalation point for advanced CNC troubleshooting.
- Perform root cause analysis on recurring or complex machining failures.
- Improve process reliability, repeatability, and machine uptime.
Continuous Improvement & Optimization
- Lead cycle time reduction and process stability initiatives.
- Optimize tooling strategies including tool selection, feeds and speeds, and tool life management.
- Address chip evacuation challenges in high-volume machining environments.
- Collaborate with tooling vendors to design and implement custom tooling solutions.
- Improve machining efficiency across palletized and automated systems.
Training & Development
- Develop training materials and process documentation.
- Deliver hands-on training to operators, skilled trades, and engineering personnel.
- Support knowledge transfer and capability development within the organization.
Required Qualifications
- Minimum of 5 years of CNC machining or CNC process engineering experience.
- Strong technical writing and documentation skills.
- Proven expertise in troubleshooting and root cause analysis.
- Demonstrated experience driving continuous improvement initiatives.
- Ability to work hands-on in a manufacturing floor environment.
Preferred Qualifications
- Experience with Haas NGC control systems.
- Knowledge of Haas Advanced Tool Management (ATM).
- Proficiency in global macro variables, mathematical operators, and logical functions in CNC programming.
- Advanced CAM programming experience.
- Strong G-code programming capabilities.
- Experience with Midaco or similar pallet change systems and programming.
- Extensive knowledge of tooling selection, application, and high-volume machining strategies.
- Experience with automated fixturing, pallet systems, and robotic automation integrated with CNC machining.
Not Specified
G
Computer Numerical Control Programmer
✦ New 🏢 Global Connect Technologies
Salary not disclosed
Job Title: CNC Programmar
Location: Middlebury, Indiana
Job Type: Full - Time
Position Summary
The CNC Process Engineer is responsible for leading the standardization, optimization, and continuous improvement of CNC machining operations across multiple identical vertical machining cells. This role transforms subject matter expertise into standardized, repeatable documentation and structured support systems to improve reliability, repeatability, and operational uptime.
The CNC Process Engineer serves as the advanced technical escalation point for complex machining issues, drives tooling and process optimization initiatives, and collaborates closely with tooling vendors to implement innovative machining solutions.
Key Responsibilities
Process Standardization & Documentation
- Capture and formalize tribal knowledge from CNC subject matter experts into structured documentation.
- Develop, implement, and maintain Standard Operating Procedures (SOPs).
- Create Operator-Driven Reliability (ODR) tasks to support proactive maintenance.
- Standardize documentation across identical machining cells while identifying process exceptions.
- Develop troubleshooting guides, flowcharts, and decision trees for rapid issue resolution.
Technical Leadership & Escalation
- Establish clear escalation tiers for operators, skilled trades, and CNC engineers.
- Serve as the primary escalation point for advanced CNC troubleshooting.
- Perform root cause analysis on recurring or complex machining failures.
- Improve process reliability, repeatability, and machine uptime.
Continuous Improvement & Optimization
- Lead cycle time reduction and process stability initiatives.
- Optimize tooling strategies including tool selection, feeds and speeds, and tool life management.
- Address chip evacuation challenges in high-volume machining environments.
- Collaborate with tooling vendors to design and implement custom tooling solutions.
- Improve machining efficiency across palletized and automated systems.
Training & Development
- Develop training materials and process documentation.
- Deliver hands-on training to operators, skilled trades, and engineering personnel.
- Support knowledge transfer and capability development within the organization.
Required Qualifications
- Minimum of 5 years of CNC machining or CNC process engineering experience.
- Strong technical writing and documentation skills.
- Proven expertise in troubleshooting and root cause analysis.
- Demonstrated experience driving continuous improvement initiatives.
- Ability to work hands-on in a manufacturing floor environment.
Preferred Qualifications
- Experience with Haas NGC control systems.
- Knowledge of Haas Advanced Tool Management (ATM).
- Proficiency in global macro variables, mathematical operators, and logical functions in CNC programming.
- Advanced CAM programming experience.
- Strong G-code programming capabilities.
- Experience with Midaco or similar pallet change systems and programming.
- Extensive knowledge of tooling selection, application, and high-volume machining strategies.
- Experience with automated fixturing, pallet systems, and robotic automation integrated with CNC machining.
Not Specified
Senior GTM Specialist - Compute
✦ New 🏢 Amazon
Salary not disclosed
About the Role
Join a rapidly expanding business at the heart of AWS. AWS Compute operates at the intersection of innovation, where builders are developing the next generation of computing workloads. Amazon EC2 stands at the center of this computing evolution, where silicon, GenAI, and security converge to power one of the largest global AWS compute services.
The AWS Compute Go-To-Market (GTM) and Specialist Sales Acceleration (SSA) team drives market adoption for AWS's most recognized services through data-driven analytics, financial metrics, and strategic GTM programs.
The Opportunity
Are you ready to advance your career as a GTM leader and strategic collaborator? We're seeking an experienced GTM professional with a proven track record of delivering impactful programs, strong technical acumen, and ownership of high-visibility revenue-generating initiatives. This role offers the unique opportunity to develop and launch innovative GTM programs in a fast-paced, rapidly growing segment of AWS, solving complex problems while owning the programs you build from concept to execution.
Key job responsibilities
As a Senior GTM Specialist on the AWS Compute GTM and SSA team, you will:
• Drive Revenue Growth: Design and execute GTM programs that unlock new customer segments and enable incremental spend across the AWS Compute portfolio
• Lead Cross-Functional Collaboration: Partner with Sales, Operations, Product, and Finance teams to develop comprehensive GTM approaches that address customer demand
• Own Strategic Initiatives: Work independently to deliver results in ambiguous environments, demonstrating strong ownership and problem-solving skills
• Communicate with Impact: Regularly engage with senior leadership, providing insights and reporting on GTM initiatives on weekly and monthly cadences
• Influence Product Strategy: Collaborate with technical and product stakeholders to shape roadmaps and secure progress toward shared business goals
About the team
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- Experience with CRM tools like Salesforce
- 10+ years of experience in GTM, Product Marketing, or Sales roles
- Proven track record leading cross-functional teams to orchestrate and successfully complete GTM programs
- Experience developing and writing Annual GTM Plans- Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units
- Experience with business development, partnership management, or sourcing new business
- Experience in data analysis and leveraging analytics to make decisions
- Experience partnering with technical and product teams to define requirements, prioritize features, and influence product roadmaps
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , CA, San Francisco - 162,7 ,200.00 USD annually
USA, WA, Seattle - 147,9 ,100.00 USD annually
Join a rapidly expanding business at the heart of AWS. AWS Compute operates at the intersection of innovation, where builders are developing the next generation of computing workloads. Amazon EC2 stands at the center of this computing evolution, where silicon, GenAI, and security converge to power one of the largest global AWS compute services.
The AWS Compute Go-To-Market (GTM) and Specialist Sales Acceleration (SSA) team drives market adoption for AWS's most recognized services through data-driven analytics, financial metrics, and strategic GTM programs.
The Opportunity
Are you ready to advance your career as a GTM leader and strategic collaborator? We're seeking an experienced GTM professional with a proven track record of delivering impactful programs, strong technical acumen, and ownership of high-visibility revenue-generating initiatives. This role offers the unique opportunity to develop and launch innovative GTM programs in a fast-paced, rapidly growing segment of AWS, solving complex problems while owning the programs you build from concept to execution.
Key job responsibilities
As a Senior GTM Specialist on the AWS Compute GTM and SSA team, you will:
• Drive Revenue Growth: Design and execute GTM programs that unlock new customer segments and enable incremental spend across the AWS Compute portfolio
• Lead Cross-Functional Collaboration: Partner with Sales, Operations, Product, and Finance teams to develop comprehensive GTM approaches that address customer demand
• Own Strategic Initiatives: Work independently to deliver results in ambiguous environments, demonstrating strong ownership and problem-solving skills
• Communicate with Impact: Regularly engage with senior leadership, providing insights and reporting on GTM initiatives on weekly and monthly cadences
• Influence Product Strategy: Collaborate with technical and product stakeholders to shape roadmaps and secure progress toward shared business goals
About the team
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- Experience with CRM tools like Salesforce
- 10+ years of experience in GTM, Product Marketing, or Sales roles
- Proven track record leading cross-functional teams to orchestrate and successfully complete GTM programs
- Experience developing and writing Annual GTM Plans- Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units
- Experience with business development, partnership management, or sourcing new business
- Experience in data analysis and leveraging analytics to make decisions
- Experience partnering with technical and product teams to define requirements, prioritize features, and influence product roadmaps
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , CA, San Francisco - 162,7 ,200.00 USD annually
USA, WA, Seattle - 147,9 ,100.00 USD annually
Not Specified
A
Project Manager (W&D Capabilities)
✦ New
Salary not disclosed
Job Title: Project Manager (W&D Capabilities) Location: Fort Worth, TX Duration: Contract for 4 Months Role Manage visioning, planning, and execution of Supply Chain transformation operation programs, ensuring program goals, timelines, business objectives, and success criteria are met.
Part of the Supply Chain Transformation – Warehouse & Distribution Capabilities & Returns team within our Technical Operations group.
Responsibilities Facilitate program visioning, road mapping, and execution of key activities across multiple teams and third-party vendors.
Work with project champion, impacted business function owners, and supporting teams to formulate and evaluate possible paths forward and key decisions, while challenging the status quo.
Coordinate dependencies across processes and organizations.
Persuasively make recommendations for improvements to existing processes.
Work with project champion, impacted business function owners, and supporting teams to quantify and prepare program stakeholders for change.
Understand, assess, and proactively manage risk and impacts to business in adherence to company Safety Management System (SMS) best practices.
Prepare and deliver program updates to numerous audiences and Senior Leaders at Tech Ops strategic forum.
Qualifications Minimum Qualifications – Education & Prior Job Experience Bachelor’s degree or Master’s degree or equivalent experience/training.
5 years of direct Project Management experience or relevant experience.
Evidence of direct Project Management experience.
Preferred Qualifications – Education & Prior Job Experience Current PMP certification.
Experience in airline supply chain operations.
Skills, Licenses, and Certifications Solid understanding of business transformation efforts.
Success leading and managing large, complex, multi-year cross-functional programs.
Demonstrated results setting targets, executing plans, and delivering results.
Solid knowledge of standard Project Management frameworks, principles, processes, and tools.
Highly engaged individual with strong sense of urgency to steer program team to deliver results.
Proficiency in Smartsheet, MS Visio, and other MS Office products.
Strong analytical abilities.
Strong written and oral communications skills.
Strong presentation creation and delivery skills.
Exposure to software development frameworks and methodologies.
Comfortably and persuasively interacts with personnel of all levels.
Language / Communication Skills Ability to effectively communicate both verbally and written with all levels within the organization.
Physical ability necessary to safely and successfully perform the essential functions of the position, with or without any legally required reasonable accommodations that do not pose an undue hardship.
Part of the Supply Chain Transformation – Warehouse & Distribution Capabilities & Returns team within our Technical Operations group.
Responsibilities Facilitate program visioning, road mapping, and execution of key activities across multiple teams and third-party vendors.
Work with project champion, impacted business function owners, and supporting teams to formulate and evaluate possible paths forward and key decisions, while challenging the status quo.
Coordinate dependencies across processes and organizations.
Persuasively make recommendations for improvements to existing processes.
Work with project champion, impacted business function owners, and supporting teams to quantify and prepare program stakeholders for change.
Understand, assess, and proactively manage risk and impacts to business in adherence to company Safety Management System (SMS) best practices.
Prepare and deliver program updates to numerous audiences and Senior Leaders at Tech Ops strategic forum.
Qualifications Minimum Qualifications – Education & Prior Job Experience Bachelor’s degree or Master’s degree or equivalent experience/training.
5 years of direct Project Management experience or relevant experience.
Evidence of direct Project Management experience.
Preferred Qualifications – Education & Prior Job Experience Current PMP certification.
Experience in airline supply chain operations.
Skills, Licenses, and Certifications Solid understanding of business transformation efforts.
Success leading and managing large, complex, multi-year cross-functional programs.
Demonstrated results setting targets, executing plans, and delivering results.
Solid knowledge of standard Project Management frameworks, principles, processes, and tools.
Highly engaged individual with strong sense of urgency to steer program team to deliver results.
Proficiency in Smartsheet, MS Visio, and other MS Office products.
Strong analytical abilities.
Strong written and oral communications skills.
Strong presentation creation and delivery skills.
Exposure to software development frameworks and methodologies.
Comfortably and persuasively interacts with personnel of all levels.
Language / Communication Skills Ability to effectively communicate both verbally and written with all levels within the organization.
Physical ability necessary to safely and successfully perform the essential functions of the position, with or without any legally required reasonable accommodations that do not pose an undue hardship.
Not Specified
J
Computed Tomography Technologist – Full Time
$145,000
We’re seeking an experienced CT Tech for a permanent role with an area healthcare client where you’ll be responsible for accurately interpreting a physician’s scanning instructions, skillfully administering contrast materials, and expertly operating CT scan equipment.
Minimum Requirements:
- 1 year experience preferred as a CT Tech
- Completion of a Joint Review Committee on Education in Radiologic Technology (JRCERT) accredited program in Radiology
- Current American Registry of Radiologic Technologists (ARRT) certification
- BLS certification
- Ability to demonstrate knowledge of growth and development principles over the life span
- Capability to assess patient data and interpret information to identify patient needs
Benefits:
- $25K Sign On Bonus for qualified hire
- $10K Relocation assistance for qualified hire
Location Highlights:
Experience the natural beauty and vibrant culture of Sitka, Alaska. The area is known for its stunning landscapes, including lush forests and picturesque coastlines. Enjoy outdoor activities such as hiking, fishing, and wildlife viewing. Explore local attractions like the Sitka National Historical Park and the Alaska Raptor Center, which offer unique insights into the region's history and ecology. The community hosts various cultural events and festivals, providing opportunities to engage with local traditions and arts.
Impacting the Quality of Care for Patients and Students Nationwide
Jackson HealthPros offers a variety of career options for healthcare and education professionals including direct hire positions, temp-to-hire, and travel contracts. Thanks to our nationwide partnerships, we help healthcare and education pros find jobs with great pay, awesome benefits, relocation assistance, and even sign-on bonuses, all at no cost to you! Discover your perfect match with ProVenture, our AI enhanced career app designed just for you.
EEO Statement
Jackson Healthcare and its family of companies are an EEO/AA Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender, gender identity and expression, national origin, age, disability or protected veteran status. We celebrate diversity and are committed to creating an inclusive environment for all of our associates.
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