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Field Applications Engineer – Aerospace & Space Systems

Location: Los Angeles, California, United States

A leading developer of rugged embedded computing systems used in aerospace, defense, and space applications is looking for a Field Applications Engineer to support customers across the United States. This role acts as the technical bridge between customers, engineering teams, and business development, helping aerospace and defense organizations integrate mission-critical computing solutions into their systems.

Responsibilities

• Serve as the primary technical point of contact for US customers.
• Provide pre-sales and post-sales technical support across aerospace, defense, and space programs.
• Work with customers to define system requirements and identify appropriate solutions.
• Deliver technical presentations, product demonstrations, and customer workshops.
• Collaborate with engineering, operations, and program teams to resolve technical challenges.
• Support business development by helping translate customer requirements into technical solutions.
• Contribute to technical documentation, including application notes and integration guidance.

Requirements

• 5+ years of experience in embedded hardware or software development/support.
• 3+ years in a customer-facing engineering role (Field Applications, technical sales, or field engineering).
• Bachelor’s degree in Electrical Engineering, Computer Science, or related field.
• Strong understanding of embedded computing systems.
• Ability to communicate technical concepts clearly to customers and internal teams.

Due to regulatory requirements, candidates must qualify as a U.S. Person under ITAR regulations.

Preferred Experience

• Aerospace, defense, or space industry experience.
• SpaceVPX or cPCI architectures.
• ARM or PowerPC processor architectures.
• Embedded operating systems such as VxWorks or Linux.
• NVIDIA embedded GPU platforms.

Why Join?

• Work on mission-critical computing systems used across land, air, sea, and space.
• Collaborate with major aerospace primes and innovative space companies.
• Join a company at the forefront of embedded computing technology.

Due to the number of applicants, if you have not received feedback after 2 weeks of applying, then unfortunately, you have been unsuccessful.

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

About This Role:

Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position.

What You’ll Be Working On:

• Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+).
• On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues.
• Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools.
• Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing.
• Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery.
• Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures.
• Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs).

What You’ll Bring to the Team:

• Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience.
• Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments.
• Version Control: Proficiency with Git for code management and collaboration.
• Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments.
• Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana).
• Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP).
• Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations.
• HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN).

Bonus Points:

• Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator.
• Cloud Expertise: Deep understanding of specific cloud platforms and services.
• Automation Skills: Experience with automation tools and scripting languages.
• Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions.
• Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues.
• Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology.

Benefits:

• Industry competitive pay
• Restricted Stock Units in a fast growing, well-funded technology company
• Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
• Employer contributions to HSA accounts
• Paid Parental Leave
• Paid life insurance, short-term and long-term disability
• Teladoc
• 401(k) with a 100% match up to 4% of salary
• Generous paid time off and holiday schedule
• Cell phone reimbursement
• Tuition reimbursement
• Subscription to the Calm app
• MetLife Legal
• Company paid commuter benefit; $300 per pay period

Compensation:

Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the well-being of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Atlanta, GA

About the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology

The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report.

In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree.

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia.

ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few.

1. Research Leadership in Foundation Models, World Models, and Frontier AI

• Lead and execute advanced research programs in large-scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self-supervised learning at scale.
• Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi-agent environments.
• Develop GPU-, TPU-, and cluster-optimized training frameworks, distributed training systems, and inference-time optimization pipelines for next-generation AI models.
• Publish high-impact papers in top AI/ML venues, release open-source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities.

2. Lab Management and AI Compute Infrastructure Operations

• Oversee daily operations of the AI research lab, including GPU clusters, high-performance storage, distributed training stacks, and data governance frameworks.
• Manage, maintain, and expand high-performance compute infrastructure: multi-node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
• Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
• Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large-scale evaluation.

3. Affiliate Engagement, Business Development, and Partnerships

• Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
• Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
• Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
• Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.

4. Project Management and PhD Mentorship

• Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large-scale representation learning.
• Manage multi-PI, multi-institution, and affiliate-funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
• Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.

Research Scientist/Engineer I

Bachelor's Degree in Electrical Engineering, Physics, or related area.

Research Scientist/Engineer II

• A Master's degree and three (3) years of relevant full-time experience after completion of that degree,
• A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree.

Senior Research Scientist/Engineer

• A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,
• A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

• PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development.
• Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems.
• Hands-on experience with large-scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines.
• Demonstrated experience mentoring students or leading technical AI teams.
• Strong communication and presentation skills for both technical and non-technical audiences.

Linda Dillon, Lucretia Allen or Shalonda Williams at

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Job Title: Construction Manager – Data Centers (AI & GPU Infrastructure)

Location: Austin, Texas

The company

A fast-growing, elite infrastructure platform working with the world’s leading AI labs, governments, and enterprises is hiring a Data Center Construction Manager to lead execution of next-generation GPU data center builds across multiple geographies.

This is a hands-on, owner-side role for construction leaders who thrive in the field, move fast, and deliver complex projects under extreme power and cooling demands. If you’ve built hyperscale, semiconductor, or mission-critical facilities and want to operate at the bleeding edge of AI infrastructure, this role delivers.

The position

• Lead day-to-day site execution for greenfield and brownfield data center builds
• Build and drive integrated schedules (Primavera P6 / MS Project) across design, procurement, construction, and commissioning
• Enforce a zero-incident safety culture across all contractors and trades
• Coordinate CSA and MEP scopes, resolving field conflicts in real time
• Track daily progress, cost, earned value, and resources; issue recovery plans as needed
• Oversee QA/QC, material submittals, RFIs, and change orders
• Interface closely with Design, Procurement, Commissioning, and Operations teams
• Develop scopes of work and technical exhibits for critical-path trades
• Manage construction contracts from award through close-out, ensuring budget, schedule, and spec compliance

Could this role be for you?

• Bachelor’s degree in Engineering (Construction Management preferred)
• 7+ years delivering hyperscale, semiconductor, or mission-critical construction projects
• Deep understanding of CSA & MEP execution, procurement workflows, and cost controls
• Proven success on fast-track, multi-site or multi-region builds
• OSHA 30 (or equivalent); strong familiarity with NFPA 70E, local codes, and permitting
• Strong field leadership and subcontractor management skills
• Ability to read BIM/Revit models and interpret IFC packages on the fly
• Willingness to travel 50%+ to active project sites

Why apply?

• Build GPU-dense, AI-driven data centers at global scale
• True site ownership — execution authority, not oversight
• Fast-track projects with elite design, procurement, and ops teams
• Work directly on infrastructure enabling frontier AI development
• Highly competitive base salary: $130,000 – $230,000 (experience, location dependent)
• Equity participation as part of total compensation
• Health, dental, and vision insurance
• Retirement or pension plan (region-aligned)
• Generous PTO policy

The Network Resident will be responsible for managing, configuring, and maintaining the NVIDIA-based data center network fabric. This role ensures optimal network performance, resolves switch access issues, maintains physical connectivity across racks, and integrates network telemetry into the organization’s observability platform.

Key Responsibilities

• Configure and manage a three-tier NVIDIA switch fabric including:
• 5400 Series – 400G/800G core fabric
• 3400 Series – 10G management tier
• 2200 Series – 1G distribution tier
• Provide configuration and operational support for Intervision-provided 2200 series switches.
• Troubleshoot and resolve authentication/access issues on network switches and integrate them into the network fabric.
• Ensure proper physical connectivity and cabling to designated rack zones and cabinet infrastructure.
• Integrate switch telemetry and monitoring with OpenTelemetry (OTEL) and the existing observability platform.
• Support the migration of the observability system from the Development Cluster to the Infrastructure Cluster.
• Monitor network performance, availability, and fabric visibility.

Required Skills

• Strong experience with data center networking and switch configuration
• Experience with NVIDIA networking switches / Spectrum / Cumulus or similar
• Knowledge of high-speed Ethernet networks (10G–800G)
• Troubleshooting of switch access, authentication, and connectivity issues
• Experience with network monitoring, telemetry, and OpenTelemetry
• Familiarity with data center rack architecture and cabling

Preferred Qualifications

• Experience in AI/HPC infrastructure networking
• Knowledge of observability platforms and telemetry pipelines
• Hands-on experience with large-scale fabric deployments

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

• 
  
• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  
• Production GenAI & LLM model inference stack for emerging use cases.
  
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
  
• Feature fetching, caching, and logging
  

What you'll do

• 
  
• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  
• Set technical direction for the team based on company and org priorities
  
• Coach and develop talent on the team.
  

What we're looking for:

• 
  
• Experience managing platform engineering teams with many cross-organizational customers
  
• Experience leading the development of large-scale distributed serving systems
  
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  
• Bachelor's degree in Computer Science, a related field or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Overview
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the well-being of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Atlanta, GA

The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report.

In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree.

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia.

ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in the field of telecom. The role will involve research in 6G and wireless systems but also include lab management, business development, project management, cross- institute collaborations and demonstrations just to name a few.

Some responsibilities include:

. Research Leadership in 6G, Wireless Systems, and Emerging Technologies

• Lead and execute advanced research programs spanning 5G Advanced, 6G architectures, ISAC, semantic communications, agentic networking, RF sensing, and wireless intelligence.
• Design and evaluate novel algorithms, PHY/MAC prototypes, and end-to-end wireless stacks using SDRs, GPU-accelerated systems, and cloud-integrated infrastructure.
• Publish high-impact papers, technical reports, and standards-relevant contributions.

2. Lab Management and Testbed Operations

• Oversee daily operations of the Center for Wireless Intelligence research lab, including equipment procurement, spectrum tools, RF instrumentation, compute clusters, and software environments.
• Manage, maintain, and expand the outdoor wireless testbed (campus-scale or city-scale): radios, remote nodes, edge compute, backhaul, deployment logistics, calibration, and field testing.
• Ensure safety, compliance, documentation, inventory management, and continuous uptime of lab and testbed assets.
• Build automated pipelines for experiments, data collection, benchmarking, and reproducibility.

3. Affiliate Engagement, Business Development, and Partnerships

• Engage, onboard, and close new affiliate companies into the CWI affiliate program.
• Serve as technical liaison for affiliate members across telecom, semiconductor, cloud, defense, and AI domains.
• Define joint research thrusts, scoping documents, deliverables, and IP paths with partner organizations.
• Coordinate demos, campus visits, on-site reviews, and technical deep-dives for affiliates.

4. Project Management and PhD Mentorship

• Mentor PhD students, postdocs, and research engineers working on 6G, wireless intelligence, agentic systems, and related topics.
• Manage multi-PI, multi-institution, and affiliate-funded projects, ensuring timely execution, deliverables, reporting, and stakeholder satisfaction.
• Provide technical direction, experiment planning, scheduling, milestones, and results dissemination.

5. Proposal Development and Funding Acquisition

• Lead and contribute to major proposals for federal, state, and institute-level funding, including NSF, DARPA, IARPA, NIST, NIH, DoD, DOE, and industry research labs.
• Manage full proposal lifecycle: concept development, whitepapers, teaming, budget coordination, compliance, and final submission.
• Close new funding sources for the center through proactive outreach, consortium building, and strategic alignment with national priorities (6G, AI/ML for wireless, digital twins, robotics, cybersecurity, etc.).

6. Event and Program Management

• Plan and execute workshops, symposiums, demo days, affiliate reviews, student recruiting events, and cross-center technical showcases.
• Coordinate logistics, speaker engagement, program design, marketing materials, and event follow-ups.
• Support the institute in flagship campus events around wireless, AI, cybersecurity, and next-generation connectivity.

7. Cross-Institute Collaboration and Ecosystem Building

• Facilitate collaborations with GT centers, MITRE Labs, government agencies, industry partners, and academic institutions.
• Represent the center in institute-level initiatives, standards bodies, federal roadmaps, and 6G consortium efforts.
• Identify and develop synergy projects across AI, robotics, cybersecurity, energy systems, and digital twins where wireless is foundational.

8. Demonstrations, Prototypes, and Technology Transfer

• Build and showcase cutting-edge wireless demonstrations involving the outdoor testbed, SDRs, AI-native RAN components, ISAC sensors, and agentic network stacks.
• Support technology transition to sponsors, affiliates, and government partners through prototypes, datasets, documentation, and workshops.

Research Scientist/Engineer I

Bachelor's Degree in Electrical Engineering, Physics, or related area.

Research Scientist/Engineer II

• A Master's degree and three (3) years of relevant full-time experience after completion of that degree,
• A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree.

Senior Research Scientist/Engineer

• A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,
• A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

• PhD in Electrical Engineering, Computer Engineering, Computer Science, or related fields with emphasis on wireless communications, signal processing, or 6G systems.
• Strong research record in wireless systems, PHY/MAC design, SDR prototyping, RF measurements, or AI for wireless.
• Hands-on experience with real-world wireless experimentation (SDRs, channel sounders, testbeds, OTA systems).
• Demonstrated experience in mentoring students or leading technical teams.
• Capability in writing and contributing to competitive research proposals.
• Strong communication and presentation skills for technical and non-technical audiences.
• Experience managing labs, field deployments, RF equipment, and outdoor testbeds.
• Experience working with industry partners or government-funded research teams.
• Background in ISAC, agentic networks, wireless digital twins, edge-cloud integration, or GPU-accelerated stacks.
• Track record of securing research funding or leading multi-PI proposals.
• Experience organizing technical events, demos, or affiliate/industry review meetings.

Linda Dillon, Shalonda Williams and Lucretia Allen at

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Company Description

Edensign is building the future of AI-powered visual and spatial engine. Backed by the Harvard Innovation Labs, we’re creating next-generation intelligent systems that merge generative AI, 3D understanding, and spatial intelligence to transform how real-world spaces are visualized, staged, and experienced.

Contact Email:

Role Description

Full-time | Preference for Boston based candidates

We’re looking for a senior technical leader to drive the development of our core AI engine. The ideal candidate has deep experience training large generative models, including diffusion, 3D reconstruction networks, multimodal, VLM architectures. In this role, you will spearhead model training pipelines, R&D experiments, data strategy, and foundational architecture decisions.

This is an opportunity to help build the next generation of spatial AI - from multi-view consistency to 2D-to-3D-to-2D transformation and advanced scene understanding.

Key Responsibilities

• Design, train, and optimize cutting-edge generative models, including diffusion, 3D reconstruction, and multimodal/VLM architectures
• Build and manage scalable training pipelines, data curation workflows, and experiment tracking
• Lead research experiments, benchmarking, and exploration of new modeling techniques
• Architect the evolution of our spatial AI stack—from prototyping new ideas to deploying production-ready models
• Collaborate with engineering and product teams to integrate AI capabilities seamlessly into real-world workflows
• Make strategic decisions around infrastructure, GPU utilization, model efficiency, and training optimization
• Contribute to Edensign’s long-term technical roadmap and innovation direction

Qualifications

• Strong expertise in training generative models (diffusion, GANs, 3D generative models, or scene-reconstruction networks)
• Deep background in Computer Vision, Computer Graphics, 3D geometry, NeRF-like architectures, or multi-view learning
• Familiarity with node-based generative tools (e.g., ComfyUI) is a plus
• Experience with VLMs, multimodal models, grounding, or spatial reasoning is highly valuable
• Proficiency in Python and modern ML frameworks
• Hands-on experience with distributed training, GPU optimization, and large-scale experiment management
• Ability to work independently and lead technical direction in a fast-paced startup environment
• Strong analytical, problem-solving, and system design skills
• Excellent communication and collaboration skills
• Master’s or PhD in Computer Science, AI/ML, Computer Vision, or a related field
• Experience in real estate, architecture, spatial design, or spatial computing is a bonus
• Proficiency in Mandarin is preferred

Job Description:

Medical Physicist – Radiation Oncology

Location: Greater Salt Lake City Area (South Market)
Organization: Intermountain Health

Intermountain Health is expanding its Radiation Oncology services to two new locations in 2026, and we’re seeking an ABR-certified or board-eligible Medical Physicist to join our growing team.

Why Join Us?

• Innovative Environment: Be part of a program that embraces advanced techniques including frameless SRS with HyperArc, tattoo-free SGRT setups, extensive use of SBRT & hypofractionation, and HDR for gynecological and prostate treatments.
• Collaborative & Stable Team: Work alongside 5 physicians, 3 physicists, and 3 dosimetrists across four sites in Park City, Provo, American Fork, and Saratoga Springs.
• Lifestyle & Location: Enjoy the vibrant lifestyle of Utah—world-class skiing, hiking, and national parks—while living in a region known for its affordable cost of living and strong community.

Technology & Programs

• Treatment Platforms: Varian TrueBeam systems at all sites
• Imaging & Simulation: VisionRT SGRT, Philips Big Bore CT simulators (3 locations)
• Brachytherapy: GammaMed Plus iX HDR units (2 locations)
• Accreditation: ASTRO-APEX accredited
• Software: Aria R&V and Eclipse v18 TPS with GPU acceleration
• QA Tools: Sun Nuclear SRS MapCheck & IC Profiler, Varian Portal Dosimetry, Radformation suite (ClearCheck, ClearCalc, RadMonteCarlo, EZFluence, AutoContour, RadMachine)

Your Role

As a Medical Physicist, you will:

• Provide comprehensive radiation therapy physics services, including treatment planning and delivery support for SRS, SBRT, IMRT/IGRT.
• Perform equipment acceptance, commissioning, and ongoing quality assurance.
• Conduct chart checks and ensure compliance with safety and regulatory standards.

• Drive clinical improvements and implement new treatment techniques.
• Be comfortable working independently and collaboratively in a busy clinical environment.

Minimum:

• MS, DMP or PhD in Health or Medical Physics from an accredited institution (degree will be verified)
• ABR Board Eligible in Therapeutic Medical Physics

Preferred:

• Certification by one of the following:
  • American Board of Radiology (ABR)
  • American Board of Medical Physics (ABMP)
  • Canadian College of Medical Physics (CCMP)

Physical Requirements

• Ongoing need for employee to see and read information, labels, assess patient needs, operate monitors, identify equipment and supplies.
• Frequent interactions with patient care providers, patients, and visitors that require employee to verbally communicate as well as hear and understand spoken information, alarms, needs, and issues quickly and accurately, particularly during emergency situations.
• Manual dexterity of hands and fingers to manipulate complex and delicate equipment with precision and accuracy. This includes frequent computer use and typing for documenting patient care, accessing needed information, medication preparation, etc.
• Expected to lift and utilize full range of movement to transfer patients. Will also bend to retrieve, lift, and carry supplies and equipment. Typically includes items of varying weights, up to and including heavy items.
• Need to walk and assist with transporting/ambulating patients and obtaining and distributing supplies and equipment. This includes pushing/pulling gurneys and portable equipment, including heavy items. Often required to navigate crowded and busy rooms (full of equipment, power cords on the floor, etc.)
• May be expected to stand in a stationary position for an extended period of time.
• For roles requiring driving: Expected to drive a vehicle which requires sitting, seeing and reading signs, traffic signals, and other vehicles.

Location:

Work City:

Work State:

Scheduled Weekly Hours:

The hourly range for this position is listed below. Actual hourly rate dependent upon experience. 

We care about your well-being – mind, body, and spirit – which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.

Learn more about our comprehensive benefits package here.

Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process.

All positions subject to close without notice.