Engineering Jobs in New Almaden, CA

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.

Role: Product Manager - Sales and Support Tech with Generative AI / Agentic AI

Duration: 12 months

Location: San Jose, CA (Hybrid)

Job Description

We are seeking a dynamic and experienced Product Manager to join our team, focusing on the Sales and Support technology domain. The ideal candidate will have a strong background in product management, with a specific emphasis and track record on leveraging Generative AI to enhance customer experience and drive business growth.

Key Responsibilities:

• Product Strategy and Vision: Develop, articulate, and champion a clear product vision and strategy for Sales and Support technologies, incorporating Generative AI capabilities to innovate and improve customer interactions.

• Market Research and Analysis: Conduct thorough market research to identify customer needs, market trends, and competitive landscape. Use these insights to inform product development and positioning.

• Roadmap Development: Create and maintain a detailed 4-quarterly product roadmap th aligns with business objectives and customer needs. Prioritize features and enhancements based on impact and feasibility. Present roadmap progress and insights to senior leadership and cross-functional stakeholders.

• Cross-functional Collaboration: Partner closely with engineering, UX design, sales, legal, and support teams to ensure successful product development and launch. Facilitate communication, alignment and collaboration across distributed teams and geographies.

• Customer Engagement: Engage with customers & key stakeholders to gather feedback, understand pain points, and validate product concepts. Use this feedback to drive continuous improvement and innovation.

• Performance Metrics: Define and track key performance indicators (KPIs) to measure product success and identify areas for improvement. Use data-driven insights to make informed decisions.

• Generative AI / Agentic AI Integration: Leverage Generative AI / Agentic AI technologies to develop innovative solutions that enhance sales and support processes. Stay updated on the latest advancements in AI and apply them to product development. Collaborate with business, engineering and data science teams to prototype, validate, and launch AI-powered features that drive automation, personalization, and efficiency

Qualifications:

• Education: Bachelor's degree in Computer Science, Engineering, Business, or a related field. MBA or advanced degree is a plus.

• Experience: Minimum of 7 years of product management experience, with a focus on Sales and Support technologies. Proven track record of successfully launching and managing products.

• Technical Skills: Strong understanding and track record of implementing Generative AI / Agentic AI technologies and their applications in the Sales and Support domain. Experience with AI/ML frameworks and tools is highly desirable.

• Experience with Leading AI Platforms: Experience with industry-leading AI ecosystems such as Microsoft Azure OpenAI Service, Amazon Bedrock, or AWS SageMaker is highly desirable. Familiarity with integrating these platforms into enterprise-scale CRM and support systems is a strong advantage. Demonstrated success in leveraging these technologies to design scalable, intelligent solutions that enhance user productivity, automate workflows, and drive measurable business outcomes will set you apart.

• Analytical Skills: Excellent analytical and problem-solving skills. Ability to interpret complex data and make data-driven decisions.

• Communication Skills: Strong verbal and written communication skills. Ability to effectively communicate with technical and non-technical stakeholders.

• Leadership: Demonstrated leadership skills with the ability to influence and inspire crossfunctional teams. Strong project management skills and attention to detail.

Why Join Us:

• Innovative Environment: Be part of a forward-thinking company that values innovation and creativity. Work on cutting-edge technologies and make a significant impact on the industry.

• Collaborative Culture: Join a collaborative and inclusive team that values diverse perspectives and fosters a culture of continuous learning and growth.

We are seeking an experienced Project Engineer to support the design, documentation, deployment, and commissioning of mission-critical electronic security systems. This role plays a key part across the full project lifecycle, partnering closely with engineers, project managers, contractors, and clients to ensure projects are delivered on time, on budget, and in compliance with all engineering standards and specifications.

Key Responsibilities

• Design, document, and manage technical submittals for large-scale security installation projects
• Develop engineering plans, implementation strategies, and failover designs
• Support bidding efforts including takeoffs, bills of materials, and cost estimates
• Coordinate with internal teams, contractors, and trade partners to align designs and installation requirements
• Track RFIs, revisions, submittals, schedules, and project documentation
• Lead design reviews and contribute to process improvements and technical knowledge sharing
• Provide on-site support including site surveys, pre-install testing, and field commissioning

Qualifications

• Bachelor’s degree in Engineering (Mechanical, Electrical, Industrial preferred)
• 7+ years of relevant design and deployment experience (plus if experience is in mission-critical facilities)
• Experience creating detailed engineering plans, implementation plans, and failover strategies
• Strong AutoCAD experience (required)
• Revit experience highly preferred
• Familiarity with SolidWorks is helpful but insufficient on its own for this role
• Experience with BIM tools (BIM 360 or similar) is a plus
• Experience with scheduling, job cost tracking, and project coordination
• Excellent communication skills and ability to manage multiple priorities

Compensation range: $100k - $150k

Exact compensation may vary based on several factors, including skills, experience, and education.

This is a dynamic opportunity for a Product Marketing Manager to drive the go-to-market strategy for our Clarity electromagnetic (EM) product line. This role requires a blend of deep technical understanding, business acumen, and expertise to connect customer needs with R&D efforts and execute successful product direction and growth. The ideal candidate will have the potential to step into a Product Ownership role in the near future.

Key Responsibilities

• Customer & Requirements Translation: Work closely with leading-edge customers to discuss technical requirements in depth and translate those needs to R&D with clear Return on Investment (ROI) justifications.
• Market & Competitive Analysis: Work closely with Sales and Application Engineers to identify growth opportunities, competitive threats, and technology gaps. Advise account teams on product positioning and engagement strategies.
• Product Ownership Track: Work closely with product teams (marketing, R&D, and sales) with the ability to step in to Product Ownership in the near future, encompassing decisions on packaging and pricing.

Go-to-Market & Content Execution

• Collateral Development: Create sales tools and collateral to better communicate product capabilities and value propositions, including demonstration projects, presentations, datasheets, white papers, articles, and blogs.
• External Representation: Work closely with corporate marketing to define communication plans, develop marketing content for press releases, websites, and tradeshows. Assist and represent the company at industry tradeshows and conferences.
• Launch Leadership: Drive all product launch activities, including beta partner engagements, market research, launch logistics, and sales training.

Market Intelligence & Influence

• Market Research: Conduct continuous market research to determine emerging trends, market needs, and customer requirements.
• Customer Advocacy: Ensure the right customers are getting the right message through the right channels, and represent the customer's voice in marketing strategy discussions and decisions.
• Team Collaboration: Collaborate with and influence internal teams, and synthesize product information, broader industry trends, competitive positioning, and regional considerations.

Required Qualifications

Education & Experience

• Technical Background: Bachelor's degree in a technical field (BSEE is highly preferred), 5+ years of relevant industry experience.
• Technical Domain Experience: 5+ years (with a BSEE) and industry experience in high-speed/high-frequency electromagnetic analysis.
• Electronic Design Flow: Solid understanding of the electronic design flow from specification to tape-out and measurement.
• System Knowledge: Must have comparative knowledge of electronic product creation from the chip out through the complete system design.
• Expert Level Skill with Clarity, Sigrity, Celsius
• Intermediate Level Skill; Allegro/APD and Virtuoso

Skills & Aptitudes

• Customer Interface: Track record of interfacing with customers in pre-sales activities.
• Leadership & Influence: Proven ability to lead cross-functional initiatives, work effectively, and establish credibility with R&D, management, product engineering, and sales.
• Communication: Outstanding analytical skills with attention to detail, and strong verbal, written communication, and presentation skills.
• Project Management: Proven ability to manage multiple projects, meet deadlines, and thrive in a fast-paced, multi-project, fluid environment.
• Experience as a Product or Technical Marketing Manager is a significant plus.

About the team: You’ll be part of a fast-growing, collaborative legal team built on trust, teamwork, and a shared mission to protect and advance the technologies we believe in. In this role, you’ll work closely with colleagues across R&D, legal, and external partners to drive impactful results.

What we need:We’re looking for a Sr. Patent Agent who’s excited to play a hands-on role in protecting the innovations that make this possible. If you enjoy working closely with scientists and engineers, translating complex ideas into strong IP, and helping build a strategic patent portfolio, we’d love to hear from you.

What You’ll Do:

As a key part of the IP team, you’ll work at the intersection of science, technology, and law to support our growing portfolio of battery-related innovations.

• Partner with R&D and engineering teams to identify new inventions and capture them early in the development lifecycle
• Support collaborative projects by working with external partners to document and protect joint IP
• Lead inventor interviews, prepare invention disclosures, and provide IP training with a focus on patents and trade secrets
• Draft and prosecute U.S. and international patent applications
• Manage and guide outside counsel to ensure our filings reflect both technical accuracy and strategic goals
• Help shape our IP strategy through competitive landscape reviews and freedom-to-operate assessments
• Contribute to documentation practices that support clear inventorship, ownership, and long-term value creation

Skills You’ll Need:

We’re seeking someone with a strong technical background, a sharp eye for detail, and the ability to turn complex innovation into clear, defensible IP.

• Master’s degree in a scientific or engineering field (Ph.D. a plus)
• USPTO registration required
• At least 5 years of experience in patent prosecution, ideally with a mix of law firm and in-house roles
• Strong writing and analytical skills
• Interest in working directly with inventors and staying close to science.

What You Bring:

• You enjoy being part of a collaborative, fast-paced environment where priorities can shift.
• You’re practical, thoughtful, and focused on delivering high-quality work.
• You can work independently but are always ready to jump in and support the team.
• You understand the bigger picture and how IP fits into it.

Onsite: This position is required to work onsite four days per week to meet the minimum essential duties and requirements of this position. As an on-site R&D and manufacturing operations organization, in-person face to face interaction is essential to building authentic relationships, trust, teamwork, and collaboration.

Compensation & Benefits: Expected salary range for this role is from $152,700 to $232,900, and a final salary will be determined by the candidate's experience and educational background. QuantumScape also offers an annual bonus and a generous RSU/Equity package as part of its compensation plan. In addition, we do offer a tremendous benefits plan including employee paid health care, Employee Stock Purchase Plan (ESPP), and other benefits.

The Quality Manager will use multidisciplinary engineering knowledge to design, develop, verify and monitor innovative medical devices or components/subsystems in support of company’s strategic plan. This role will support and lead quality objectives by planning, managing, implementing and ensuring continued compliance with the quality system.

Responsibilities

• Support quality operations to ensure continued compliance with applicable regulations/standards and provide the necessary training to ensure awareness of personnel
• Contribute to quality initiatives and functions to ensure effectiveness of the quality management system, including but not limited to, product and process monitoring, data analysis and applying statistical techniques, audit support, purchasing and verification, control of equipment, etc.
• Act as management representative and report the effectiveness of the QMS to top management
• Perform quality functions such as procedure writing, inspection, testing and reviewing documents for accuracy and application of procedures or standards
• Assess opportunities for improvement and need for changes to the quality system by systematically monitoring and reviewing data pertaining to the organization, product or process changes, non-conforming product, changes to regulations/standards, complaints and feedback
• Own and support activities pertaining to complaint handling, vigilance and medical device incident reporting by understanding and implementing the requirements based on the regions SMM markets its devices and documenting/addressing complaints in a timely manner to ensure compliance with the applicable regulations
• Qualify suppliers and monitor supplier performance to ensure product meets specified requirements
• Lead investigations, root cause analysis, and determination of required action to be taken in response to non-conforming product or quality system processes using a risk based approach
• Assist in the development of dFMEAs (Design Failure Mode Effect Analysis) and pFMEAs (Process Failure Mode Effect Analysis) and control plans where required.
• Facilitate validations and component acceptance activities
• Maintain traceability, identification, documentation and applicable records to provide evidence of product and processes meeting requirements
• Apply broad engineering knowledge to the design and development of new products as well as product changes and enhancements which are consistent with a zero defect level as well as low product cost.
• Solve multidisciplinary engineering problems at the component through system level.
• Conduct testing utilizing existing test protocols or develop new ones as needed.
• Complete projects (including product enhancements) in a manner consistent with corporate objectives.
• Contribute to the intellectual property position of the company via invention and patent applications.
• Maintain accurate documentation of concepts, designs, drawings, and processes.
• Ability to coordinate and manage project design history file and associated activities.
• Maintain current knowledge of competitive technologies in addition to medical, technical, and biomedical developments related to company products.
• Provide multidisciplinary engineering and technical support of products introduced into both the domestic and international markets as well as physician in-service programs.
• Maintain GMP systems, including pre-production quality assurance procedures, pre-clinical testing programs, and post production GMP compliance in coordination with the Document Control, Clinical, and Quality Assurance functions.
• Provide multidisciplinary engineering support in the resolution of product complaints and/or safety issues.
• Provide guidance to associate engineers and technicians on engineering/test activities.
• Support company goals and objectives, policies and procedures, Good Manufacturing Practices, and applicable regulatory requirements.

Qualifications

• A 4-year degree in engineering, scientific discipline, or similar.
• 5-10 years engineering experience supporting a medical device or related environment
• 1-2 years experience in QA/QE Management or Senior level position (Preferred)

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

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