Engineering Jobs in Campbell

Company Description

Omega EMS has been at the forefront of developing and delivering cutting-edge solutions in Silicon Valley. Our expertise makes us uniquely equipped to supply unparalleled customer service tailored to each individual need – all within a framework that is firmly rooted in CGMPs (Current Good Manufacturing Practices). With our flexible approach, real world operational experience and commitment to serving customers’ needs with excellence, Omega EMS offers an incomparable “one stop solution” for any EMS project.

Role Description

The Process Technician will be a key contributor to Omega EMS’s SMT line, AXI, and process engineering activities for PCB assembly. This role is responsible for ensuring that every stage of the printed circuit board assembly process meets the highest standards of quality and reliability. The ideal candidate is a resourceful problem solver who can overcome technical challenges and implement practical solutions. As a core member of the manufacturing team, the Process Technician works closely with production operators, engineers, and quality staff to support fast-paced, high-mix builds for Silicon Valley’s most innovative companies, delivering world-class manufacturing systems and processes.

Qualifications

Job Responsibilities:

·        Serve as the first line of technical support for PCB assembly production, troubleshooting and resolving process issues in real time.

·        Set up, inspect, and validate SMT equipment and processes, including stencil printers, reflow ovens, SPI, and X-ray, to ensure high-quality first articles and stable production runs.

·        Contribute to the design and fabrication of stencils, tooling, and fixtures, and manage the tooling log to maintain availability and accuracy.

·        Perform X-ray and visual inspections, identify solderability or void issues, and implement corrective actions where needed.

·        Provide hands-on training and guidance to operators and production staff, improving process understanding and capability across the team.

·        Support and collaborate with SMT, AXI, and Engineering on technical inquiries and escalations; elevate unresolved issues to the Supervisor as necessary.

·        Collect and analyze process data to identify trends, drive systemic improvements, and enhance yield and throughput.

·        Maintain a strong focus on safety, quality, and continuous improvement, while being adaptable and open to learning new tasks as required.

Job Requirement:

·        3+ years of hands-on PCBA experience (5+ years preferred).

·        Strong working knowledge of SMT/PCBA processes, including screen printer programming, solder paste inspection, reflow profiling, and X-ray inspection.

·        Ability to read and interpret wiring diagrams, schematic drawings, and engineering instructions, applying knowledge of electronic theory and components.

What We Offer

Paid Vacation

Paid Holidays

401K/ Roth 401K

Medical, Dental, and Vision

**This is a swing shift hourly role and you will earn between $25 and $27 plus 10% differential.

The Technical Sales will lead joint technology development with customers, promote the company's technology and brand, manage technical-line customer relationships, and understand and develop solutions to meet customer needs.

Key Responsibilities

• Continuously monitor and analyze industry and product technology trends, focus on customer needs, and explore potential customer requirements by focusing on high-value areas/products, and strategic projects.
• Track competitors routinely gather and analyze competitor overviews and product comparisons.
• Develop annual product plans for key customer segments, define key solutions, and set related sales targets.
• Drive Customer-segment brand planning and execution. Develop external value proposition and communication strategy for product solutions, ensure key solution messages are effectively and promptly delivered to target customers and stakeholders.
• Organize industry and customer workshops, manage customer visits, and lead event marketing activities such as promotional introductions.
• Drive high-level technical engagement with key customers, provide end-to-end solution support, articulate solution value aligned with customer needs, and build long-term customer trust and partnership.

Qualifications

• Bachelor’s degree in Mechanical Engineering or related field. Masters’ degree is a plus.
• Familiarity with WBS, PDCA cycle, SMART and 6W2H frameworks.
• Understand consumer electronics, manufacturing processes, and equipment industry.
• Good customer-centric mindset with strong service awareness.
• Ability to work under pressure and handle customer demands.
• Strong team player, able to adapt quickly to new teams and projects.
• Ability to coordinate cross-departmental collaboration to achieve goals.
• The base pay range for this role is between $85,675 and $119,945 annually and your base pay will depend on your skills, qualifications, experience, and location.

Preferred Skills

• PMP certification.
• Expertise in marketing, customer product manufacturing processes, and automation/test equipment or system development.

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

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

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

Hiring Gas & Chemical Technician in Sunnyvale, CA- Onsite

Title: Gas & Chemical Technician

Location: Sunnyvale, CA- Onsite

Shift: Training M–F, 7:00 AM–3:30 PM (first 2–3 months)

Post-training: Compressed shifts (7:00 AM–7:30 PM or 7:00 PM–7:30 AM), A/B/C/D teams

Pay: $28–$30/hr

Client is seeking Gas & Chemical Technicians to support semiconductor manufacturing operations across Santa Clara and Sunnyvale sites.

Key Responsibilities:

• Operate and maintain gas/chemical distribution systems
• Perform cylinder and drum change-outs
• Troubleshoot and repair gas, chemical, and slurry systems
• Follow operating and safety procedures to ensure zero safety/quality incidents
• High School Diploma or GED required
• Experience in maintenance, mechanical, electronic, or equipment technician roles preferred
• Experience with gas/chemical systems a plus
• Ability to lift up to 40 lbs and wear required PPE (including respirator when needed)

Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Learn more: .

If you are interested, email your resume to

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