Engineering Jobs in Los Gatos, CA
263 positions found — Page 7
AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA
Title: AI Research Scientist
Location: San Jose, CA
Responsibilities:
- Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
- Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
- Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
- Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
- Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
- Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
- Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
- Contribute to academic publications and represent the company in research communities, as needed.
Educational Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
- Candidates with a master’s degree and exceptional research or industry experience will also be considered.
Industry Experience:
- 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
- Demonstrated success in delivering research-driven solutions that have been deployed in production.
- Experience collaborating in cross-functional teams across research, engineering, and product.
- Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.
Technical Skills:
- Strong foundational knowledge in machine learning and deep learning algorithms.
- Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
- Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
- Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
- Advanced programming skills in Python (preferred), C++, or Java.
- Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
- Strong mathematical foundations in probability, linear algebra, and calculus.
- Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
- Ability to translate research insights into roadmaps, technical specifications, and product improvements.
AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA
Remote working/work at home options are available for this role.
Duration: 6 months contract, Full-Time
Employment Type: W-2
Job Description:
- This role focuses on designing, developing, and supporting FPGA-based solutions for advanced robotic and medical systems. The engineer will own RTL design from architecture through validation, working hands-on across the full FPGA development lifecycle, including simulation, timing closure, hardware bring-up, and system-level debugging.
- The position requires close collaboration with hardware, firmware, software, and systems teams in a highly cross-functional, regulated R&D environment to deliver reliable, safety-critical technology.
Responsibilities:
Key responsibilities include, but are not limited to:
- Designing, developing, optimizing, and maintaining FPGA RTL using Verilog/SystemVerilog and/or VHDL
- Suporting the full FPGA development lifecycle, including synthesis, place-and-route, timing closure, and bitstream generation
- Performing functional simulation, verification, and system-level debugging.
- Supporting board bring-up, testing, integration, and validation.
- Collaborating closely with hardware, firmware, software, and systems engineering teams.
- Documenting design decisions, test results, and process improvements.
- Participating in design reviews and regulated development activities.
Experience:
- 4+ years of hands-on FPGA design and development experience.
- Strong understanding of digital logic, timing analysis, and debugging.
- Proficiency in Verilog/SystemVerilog.
- Experience with FPGA toolchains such as Xilinx Vivado, Lattice Diamond, or equivalent.
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or a related scientific field.
- Robotics design exposure.
- Strong collaboration and communication skill.
Skills:
Preferred Skills and Experiece:
- Prior experience in medical devices, robotics, or safety-critical systems
- Exposure to regulated environments such as FDA, IEC, or ISO
- End-to-end FPGA ownership from architecture through validation
- Experience debugging real hardware issues beyond simulation
- Familiarity with high-speed protocols such as PCIe, Ethernet, DDR, or Aurora
- Experience using simulation, verification, and hardware debug tools (logic analyzers, oscilloscopes)
- Cross-functional collaboration with mechanical, systems, or clinical teams
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Name: I.Prudvi kumar
Email:
Internal Id: 26-04157
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.
Day to day:
Our client is seeking a Test Technician, to play a key role in ensuring products meet quality standards and perform as intended. Your day-to-day work will involve monitoring, assembling, and refining products to eliminate defects. Using specialized equipment and established test procedures, you’ll conduct thorough evaluations to verify functionality and reliability. Collaboration is essential—you’ll work closely with fellow technicians and engineers to troubleshoot issues and maintain high-quality outcomes.
Must Haves:
- Minimum of 2- 5 years of electronic testing, debugging, or tester startup
- A.A./Certificate/B.S. in Electrical Engineering, Engineering Technology, or related field
- Ability to read and interpret schematics and assembly drawings
- Proficient in using test equipment such as volt-ohmmeters, digital meters, oscilloscopes, logic analyzers, microcomputers, calipers, and other electronic or computer-controlled tools
- Detail-oriented with excellent communication skills, strong critical thinking and problem-solving abilities, and proven expertise in monitoring operations to ensure quality and efficiency.
Pluses
- Mandrin proficiency
Shift Type:
Swing shift: 3:15pm- 11:45am (10% differential)
12-Month W2 Contract (No Visa Sponsorship/No Student Sponsorship/No C2C)
Onsite daily in Sunnyvale (94086).
Pay up to $42/hr. (No PTO and No Paid Holidays)
The ideal candidate will have a solid background supporting both Mac and Windows enterprise environments (over 500 end users), with a stronger emphasis on Mac. Experience supporting SaaS applications such as Okta, Slack, Google Workspace, Github, Gitlab administration, GenAI LLM platform administration are needed. White-glove support supporting VIPs/executives is highly preferred.
The IT Service Desk Technician provides basic technical assistance and support to internal end users as well as augments the IT Service Desk Team by performing repetitive tasks and functions, such as imagining hardware, swapping devices, and counting IT hardware inventory.
Responsibilities:
- Be the face of IT to corporate employees in the respective office location.
- Ensure that the physical IT technology in the office is operational (e.g. AV rooms, wifi, badge readers, cameras, etc).
- Oversee the suite of collaboration tooling in use and ensure end users have great experiences using the tools provided.
- Work to improve the procurement and asset management practices for IT hardware and software.
- Be responsible for the physical inventory of computer assets, and ensure the local equipment is tracked efficiently and securely.
- Work with Finance and IT leadership to manage budgets and costs for IT spend.
- Work with the broader IT team to provide training, documentation, and learning opportunities to peers and IT staff on support processes and techniques.
- Execute standard Onboarding & Offboarding processes for employees joining and leaving the company.
- Engage directly with employees and internal users who are experiencing IT related service issues. Resolve incidents such as network access, hardware break/fix, and software related problems as well as execution of defined service requests (e.g., installing licensed software, provisioning user access to software applications).
- Use defined escalation processes to escalate support issues that require staff with specialized skills or higher-level administrative permissions to resolve.
- Utilize standard operation procedures (SOPs) to perform routine tasks and work with engineering teams to define new SOPs for common support functions.
- Participate in after-hours, on-call support rotation.
Required Skills:
- 3+ years of IT end user support experience in a Mac focused environment (80% Mac/20% Windows)
- Prior experience providing Desktop Support at Tier 2 levels as well as being in an active member of an on-call support rotation.
- Experience using desktop imagining and MDM tools, such as Intune, SmartImager, Imperious, and SmartDeploy.
- Thorough knowledge of PC hardware, PDA devices, desktop software, Windows 10 and 11, O365, anti-virus, internet browsers, and network connectivity.
- Hands-on experience working with and updating support tickets in a ticket management platform such as ServiceNow, Zendesk, or Jira.
- Customer focused approach to delivering excellent service and support to internal customers.
The estimated pay range for this position is USD $39.00/Hr. - USD $42.00/Hr.
Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.
Fab Production Planner
Responsibilities
- Create and manage the master production schedule, translating the customer demand into specific daily and weekly wafer start plan
- Monitor and track the work-in-progress (WIP) flow within the fab, ensuing efficient movement of wafer lots to meet output plan and fulfil customer demand requirement
- Identify, analyze, and resolve production bottlenecks related to equipment performance, material availability, or labor resources to maximize fab throughput and reduce cycle time
- Collaborate with marketing, sales, production, and engineering teams to align production plan, manage demand/order changes, and schedule interruptions
- Coordinate with purchasing teams to maintain optimal stock levels and prevent shortages or excesses of inventory materials
- Track key performance indicators (KPIs), such as on-time delivery (OTD), cycle time, inventory and inventory turn
- Drive continuous improvement initiatives to enhance planning efficiency, optimize processes, and increase productivity.
Required Qualifications & Skills
- Bachelor's or master’s degree in industrial engineering, supply chain management, or related fields
- > 5 years of work experiences in factory planning, or supply chain management
- Proficiency in Excel for data management, analysis and reporting
- Experience with Oracle systems
- Programming skills are preferred
- Knowledge of semiconductor manufacturing processes and supply chain principles
- Familiarity with capacity and demand forecasting models
- Attention to details
- Strong analytical and problem-solving abilities
- Excellent communication and collaboration skills
- Able to work in a fast-paced, dynamic, and multi-disciplinary environment
About Us
HireIO is a Silicon Valley–based executive search and HR consulting firm specializing in AI, robotics, semiconductor, and high-growth technology companies.
We partner with top startups, Big Tech companies, and global enterprises to place world-class talent across engineering, product, and leadership roles.
Our clients include fast-scaling, venture-backed companies and industry leaders shaping the future of technology.
About the Role
We are looking for a motivated Junior Technical Recruiter / Associate Consultant to join our growing team.
This role is ideal for someone early in their career who is passionate about technology, people, and business impact.
You will work closely with senior consultants to identify, engage, and manage high-caliber candidates across software engineering, AI/ML, robotics, product, and other technical functions.
This role offers:
- A fast learning curve
- Exposure to top-tier tech companies
- A clear path toward becoming a full-cycle recruiter or client-facing consultant
Key Responsibilities
Talent Sourcing & Research
- Identify and engage top technical talent via LinkedIn, GitHub, professional communities, and internal databases
- Build and maintain talent pipelines for software, AI/ML, robotics, data, and product roles
- Conduct market mapping and competitor research
Candidate Engagement
- Conduct initial outreach and screening calls
- Assess candidate motivation, skills, and cultural fit
- Maintain strong relationships with candidates throughout the hiring process
Process & Coordination
- Support senior consultants in managing interview processes
- Track candidate status and maintain accurate CRM records
- Coordinate interviews, feedback collection, and offer processes
Market Intelligence
- Stay informed on trends in the tech labor market, compensation benchmarks, and hiring patterns
- Share insights with the team to refine search strategies
What We’re Looking For
Must-Have
- Bachelor’s degree or equivalent experience
- Strong communication skills in English (Chinese bilingual is a plus)
- High ownership mindset and strong work ethic
- Strong interest in technology, startups, or recruiting
- Ability to multitask in a fast-paced environment
- Detail-oriented and highly organized
Nice to Have
- Prior experience in recruiting, sales, customer-facing roles, or campus leadership
- Familiarity with LinkedIn Recruiter, ATS systems, or sourcing tools
- Basic understanding of software engineering or AI/ML concepts
- Experience working in a startup or high-growth environment
What You’ll Gain
- Direct exposure to top tech companies and founders
- Training in executive search methodologies
- Rapid career growth into full-cycle recruiting or business development roles
- Competitive base salary + performance-based bonus
- Collaborative, high-performance team environment
Why Join HireIO
- Work on cutting-edge roles in AI, robotics, and emerging technologies
- Visa sponsorship available for qualified candidates
- Structured training & mentorship from senior consultants
- Health benefits (Medical, Dental, Vision)
- 401(k) plan
- Paid time off & company holidays
- Opportunity to build a powerful network in Silicon Valley
Reliable technology that keeps organizations running.
IT Management Corporation ( ) is seeking a hands-on Operations Manager to coordinate and execute critical operational functions that support our engineering, sales, and customer delivery teams. This role is responsible for managing procurement, vendor coordination, inventory logistics, office operations, facilities support, service vehicle coordination, and operational invoicing readiness. Unlike a purely supervisory position, this role requires a high level of operational ownership and involvement. The Operations Manager must maintain real-time awareness of operational activities and be comfortable stepping in to resolve issues, coordinate vendors, and personally drive operational execution when necessary. The ideal candidate is organized, detail-oriented, operationally curious, and comfortable working across multiple departments in a fast-paced technology environment. Key Responsibilities • Manage procurement operations including purchase orders, vendor coordination, and delivery tracking
• Maintain relationships with technology vendors and distributors
• Ensure pricing accuracy and alignment between quotes, orders, and vendor costs
• Oversee inventory management, warehouse coordination, and shipping/receiving processes
• Coordinate operational workflows between sales, engineering, finance, and vendors
• Support office operations and facility management including vendor coordination and maintenance
• Maintain awareness of company service vehicle logistics and maintenance schedules
• Improve operational processes and implement procedures that increase efficiency and accuracy
• Provide operational visibility and communicate order status and supply risks to internal teams
• 5–8+ years of experience in operations, procurement, logistics, or supply chain management
• Experience in technology, telecom, IT services, or system integration environments preferred
• Strong experience managing vendor relationships and purchasing processes
• Familiarity with inventory management and operational workflows
• Excellent organizational and cross-functional communication skills
• Experience with ERP, CRM, or order management systems is a plus
Success in This Role Projects delivered on time and on budgetHigh customer satisfaction and strong post-deployment relationshipsImproved operational visibility and consistencyEffective collaboration across engineering, sales, and leadershipScalable and repeatable delivery practices All your information will be kept confidential according to EEO guidelines. PandoLogic. Keywords: Operations Manager, Location: Santa Clara, CA - 95055
Duration: 12 months | Contract to Hire
Location: San Jose, CA 95112
Worksite: Onsite | 8:00 AM - 05:00 PM
Responsibilities:
We're looking for an Intermediate Electrical Engineer in Santa Clara, CA who is excited about working on projects that enable the heart of our clients' business. Join us and you will have the chance to work on projects including semiconductor manufacturing, data center facilities, and other advanced state of the art manufacturing facilities.
You'll be accountable for schedule and technical quality of engineering tasks, as you gain familiarity with the client's expectations, scope, budget and schedule for assigned tasks. You'll effectively recognize and communicate scope and design changes promptly. You may also provide on-site assistance during startup, coordinate work activities with other staff members and the discipline lead.
You will become part of a multi-discipline, interactive team producing installation details which aid the clients next generation of fabrication tools. Primary duties included will be as electrical circuit assignment responsible for the accuracy of facility loading of switchboards, distribution boards and panel boards within an operating facility. Tools used will be leading edge electrical modeling software and CAD / BIM plan views.
The ideal candidate will have experience ranging from low voltage controls and devices (24Vac/Dc) to power 600Vac 3phase. Your role keeps our company connected and we'll support you with what you need to be successful.
Qualifications:
Here is what you'll need:
- Bachelor's or Master of Science Degree in Electrical Engineering
- At least 4 years of Electrical Engineering Experience
- Proficiency working with AutoCAD
- Proficiency with the Microsoft business suite, including Word and Excel
- Proficiency working with SKM PTW PowerTools or similar electrical analysis software
- Experience within an operational environment
Ideally, you'll also have:
- Engineer in Training (EIT) or ability to obtain
- Working knowledge of Revit or BIM software
- Experience with database creation and maintenance such as MS Access
- Strong communication skills both verbal and written
- Strong analytical and problem-solving skills
- Forward thinking, eager to learn best practices, and contribute with innovative ideas
- Displayed ability to learn quickly and driven to broaden knowledge base
- Ability to collaborate and work effectively in a variety of teams, including multi-disciplinary teams
- Passionate about buildings and construction
Other Requirements:
Location:
- This is an on-site position requiring work to be performed on the client site in vicinity of San Jose, CA
- Candidate must be willing to commute to the site Monday-Friday during normal core business hours - of 9:00 am to 4:00 pm with flexibility based on need of client interactions
- Relocation assistance may be provided for qualified candidate.
Summary:
The Senior Manufacturing / Process Engineer is responsible for developing, implementing, and improving manufacturing processes for electronic assemblies in a high-mix, low-volume environment. This role supports both the U.S. and Vietnam facilities, ensuring process repeatability, cost efficiency, and product quality across SMT, Through-Hole, and system assembly operations. The senior manufacturing process engineer will report directly to the VP of operations.
Goals:
- Build products and provide services with the highest Flexibility, Productivity, and Quality.
- Achieve total customer satisfaction through technical excellence and responsive engineering support.
- Ensure successful NPI launches through cross-functional collaboration, process validation, and data-driven feedback to design and quality teams.
Objectives:
1. Support production operations in the following categories:
a. Reduce downtime caused by engineering issues (programming, MPI errors, tooling, design, or line stoppage).
b. Improve quality yield through root cause analysis, corrective actions, and robust process setup.
c. Lead NPI and prototype builds, ensuring process readiness, documentation completeness, and manufacturability validation prior to production release.
2. Provide engineering services to meet customer needs and expectations in the following areas:
a. Design for Manufacturability (DFM).
b. Manufacturing Process Instruction (MPI) creation and maintenance.
c. Engineering Change Order (ECO) implementation.
d. Defect Reduction Team (DRT) meetings and follow-up actions.
e. Failure analysis and corrective action documentation.
f. Develop and validate new or modified processes, including process capability studies, DOE validation, and reflow/wave solder profile optimization
g. Other engineering requests as required by customers or management.
Job Description:
SMT / Through-Hole / 2nd Ops / 3rd Ops Process Support
- Review daily SMT or build schedule to ensure process readiness.
- Confirm all required items are complete and available prior to production:
- Job package with full build documentation.
- Manufacturing Process Instruction (MPI) reviewed and approved.
- Routing definitions for data collection.
- Validated reflow or wave solder profiles.
- ECOs, deviations, or special instructions incorporated into the MPI and/or job package.
- All required tooling available and verified.
- Review pre-build DFM, document known defects, and hyperlink details in the MPI.
- Lead cross-functional NPI kickoff meetings to review design requirements, risk areas, and special process considerations.
- Document and track NPI issues and lessons learned for future builds.
- Coordinate with Program Managers to resolve DFM showstoppers prior to build.
- Analyze previous quality data, identify recurring defects, determine root causes, and implement corrective actions.
- Design, order, and verify all required tooling (stencils, wave solder pallets, press-fit fixtures, conformal coat fixtures, etc.).
- Maintain tooling logs, labeling, and readiness tracking within Omega Build Readiness.
- Inspect and sign off first article setups for critical processes (stencil printer, reflow oven, wave solder, etc.) using the First Article Checklist.
- Inspect initial boards after print and reflow for solder release, bridging, voids, and process anomalies. Document findings and sign off the First Article Report.
- Provide on-the-floor training for operators and technicians regarding new processes, corrective actions, or observed deficiencies.
- Support production by promptly responding to technical inquiries or line support issues.
- Exercise full authority to stop the line if repeated defects or safety concerns are observed.
Quality Data Review & Root Cause Analysis
- Review production data in Omega Data Collection, identifying root causes and corrective actions.
- Review Daily, Weekly, and Customer Quality Reports to identify trends, recurring issues, or process gaps.
- Provide structured analysis and report findings to Quality and Production (using 8D or equivalent methodology).
- Document corrective actions and verify implementation during the next production run.
- Present findings and improvement updates in internal and customer quality meetings.
Other Responsibilities:
- Create and submit Post-Build DFM reports to Program Managers with improvement recommendations.
- Implement and validate ECO changes per revision control procedures.
- Perform and document detailed failure analyses for internal and customer returns.
- Participate in process improvement projects and defect-reduction initiatives.
- Provide customer-driven engineering services or special support requests.
- Develop and deliver internal technical training for operators and peers.
- Support ISO 9001 and AS9100 activities, including audits, documentation, and Work Instruction updates.
Qualifications:
- Bachelor’s degree in Manufacturing, Industrial, or Mechanical Engineering (or related discipline).
- 8–12 years of hands-on experience in electronics manufacturing (PCBA, box-build, system integration).
- Deep understanding of SMT, Through-Hole, and system assembly processes.
- Proficient in process validation, FAI, SPC, DOE, and yield improvement.
- Familiarity with FactoryLogix and related MES/ERP systems.
- Experience leading NPI builds and developing new assembly processes from prototype through production release.
- Familiarity with DFM/DFT analysis tools and PCB CAD systems (e.g., Altium, Valor, Mentor).
- Experience with Lean, Six Sigma, and structured problem-solving tools.
- Strong communication and analytical skills with the ability to multitask in a fast-paced environment.
- U.S. Citizen or Permanent Resident (ITAR requirement).
Compensation:
$120-$150K Annually
Benefits:
Medical
Dental
Vision
401K + Roth 401K
Vacation
Paid Holidays
