Jobs in San Jose, CA

Anjul, I need an Electrical assembler.

Electrical assembly needs to be the primary skill.

All of the previous candidates indicate they can do this work but, in reality, they admitted that was not entirely true.

Angel and Danny Padilla are workable but still it is not their primary skill.

I can up my pay rate to 40/45 per hour for the right guy.

Bath Concepts Independent Dealers is a leading name in the acrylic bath remodeling industry. We offer custom bath remodeling that enriches the lives of those we touch with bathrooms that are attractive, durable and maintenance-free. We are seeking Show & Event Demonstrators to join our winning team. Customer service experience is a plus, as you will be interacting with event attendees, discussing our product and securing sales leads for our team. Hourly pay + bonuses based on quality appointments.

• Attract visitors and staff booth at shows and events
• Promote product and provide basic product overviews to attendees
• Book appointments
• Maintain a professional appearance throughout event
• Ensure cleanliness and organization of booth
• Engage with passers-by to draw them into the booth
• Explain basic product features and benefits
• Secure entry forms or book in home sales appointments
• Collect daily leads and provide to Event Coordinator

• Strong communications skills
• Positive, outgoing personality
• Ability to work in a fast-paced environment
• Travel to booked shows/events (must have reliable transportation)
• Ability to stand for long periods of time
• Ability to lift 30 pounds
• Available to work weekends

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.

Senior Employment Lawyer (8+ Years PQE)

Silicon Valley / San Mateo / Pleasanton ( Choose where you work from!)

The Opportunity

• Join a highly regarded California law firm with an established employment practice
• Work across Silicon Valley, Peninsula or Tri-Valley offices
• Collaborative team environment with strong support
• Opportunity to contribute to practice growth and leadership

Salary

Base salary expected to be in the region of $175,000 – $225,000, with additional performance-based incentives (10–20% of fees collected) depending on experience and production.

A well-established multi-service California law firm is seeking a Senior Employment Lawyer to join its growing employment practice.

This role offers the opportunity to work with a respected team advising employers across a broad range of workplace matters, including complex litigation and strategic advisory work.

The Role

You will advise and represent employer clients across a full spectrum of employment law issues, including:

• Employment litigation in state and federal courts
• Defence of FEHA and Title VII claims
• Wage and hour disputes, including class and PAGA actions
• Trade secret and unfair competition matters
• Representation before agencies such as the EEOC, CRD and DLSE
• Providing strategic employment advice to business clients
• Delivering employment law training and seminars
• Supporting the development of the firm's employment law practice
• Supervising and mentoring junior lawyers

The Ideal Candidate

• 8+ years’ employment law experience
• Strong litigation background acting for employers
• Experience handling complex employment matters and disputes
• Admission to the California State Bar
• Excellent client relationship and advisory skills
• Some portable client work preferred

For a confidential discussion, please contact me any time or apply through the link.

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.

Company Description

Hardcraft Industries, Inc. is a growing business with a strategic focus on OEM products for power utility substation and distribution markets. We are committed to excellence in manufacturing and innovation.

Role Description

This is a full-time on-site role as our Production/Manufacturing Manager based in San Jose, CA. This is a high-impact role, reporting directly to the company's owner. A successful Manufacturing Operations Manager will play a key role in shaping our business for years to come. Compensation is highly competitive with much larger organizations in the South Bay, offering the opportunity to make and see direct impacts on employee and customer performance and satisfaction, as well as participate in the company's growth.

We are seeking a no-nonsense, responsible operational leader with the mission to improve and ensure the on-time delivery of quality product to our customers. A strong candidate will both be an empathetic team leader as well as data-oriented professional with a desire to make a significant impact on our business.

This professional will:

• Lead our production and support teams. Develop and provide continual support for a strong, healthy problem-solving and high-performing work and team culture.

o Coach and support teams in clear, logical problem-solving approaches.

o Manage production staffing levels, compensation, and staff standards of performance and conduct

o Design and maintain an effective shop floor supervisory structure

o Identify, enable, direct and maintain production and support staff training requirements and records.

• Own the design and continued development, implementation, and sustainment of operational data systems (software, etc.) that spans and integrates ERP, PDM, MES, quality and equipment data for rapid, accurate monitoring of shop floor status and support for on-time order delivery and gross-margin level profitability.

o Analyze overall shop floor process flow and develop optimization paths, and define the data required to maintain and improve the production system.

o Review historic trend data and projected requirements to identify risks and opportunities for improvement of product on-time delivery

o Select, develop, implement, and coordinate strategic projects related to on-time delivery

o Lead continuous improvement efforts based on data collection

• Manage product design and process design personnel to bring prototype mechanical assembly designs from design stage to production-ready and profitable state

• Determine and oversee maintenance and sustainment requirements for building facilities and production equipment

• Provide high-level customer and vendor management & oversight

• Possess fabrication-relevant process knowledge in sheet metal, paint, and CNC machining – desirable but not absolutely required. Interest in rapidly acquiring relevant process knowledge is required.

Role holds ultimate responsibility for: all production and production support staff

Direct reports: Process department supervisors, manufacturing engineer, programming engineer (laser, turret, CNC bend, CNC mill), QC manager

Reports to: Business owner/president. Business owner is highly engaged in the business, data-oriented, and committed to driving growth.

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

StrivePath is a fast-growing, premium college advisory firm serving high-achieving students nationwide. We combine structured long-term planning with admissions-level insight to guide families from early high school through applications.

We’re hiring a Senior Admissions Advisor with prior admissions committee experience at a nationally recognized or highly selective institution.

This is a part-time, remote role (evening availability preferred), with potential to expand over time.

⸻

What You’ll Do

• Lead initial strategy consultations with prospective families.

• Conduct brief follow-up clarification calls before contract decisions.

• Provide final “adcom-style” reviews of senior applications.

• Serve as a senior escalation and quality resource when needed.

You will not manage scheduling, contracts, or administrative follow-up — operations handles that.

⸻

Who You Are

• Former or current admissions committee member (file reader experience required).

• Experience evaluating applications at a competitive, holistic-review institution is required.

• Comfortable discussing holistic admissions strategy with discerning families.

• Clear, confident communicator with strong executive presence.

• Student-centered, ethical, and values-aligned.

• Interested in meaningful, flexible part-time advisory work.

Compensation is competitive and commensurate with experience.

To apply, please send your resume and a brief note outlining:

• Your admissions experience

• Your current availability

• Why this role appeals to you

Oracle FDI Developer/Analyst

Contract

Palo Alto, CA (Remote or Hybrid if in SF Bay Area)

This position pays around $60 - $70/hr on W2

Responsibilities:

• Business Discovery & Analysis

-Lead requirements for workshops with FP&A, Accounting & Procurement.

-Translating needs into well-formed user stories, acceptance criteria, and success metrics. Map KPIs/metrics (e.g., revenue, COGS, Opex, cash flow, AP/AR aging, PO cycle times) to source systems and FDI subject areas.

• Data Modeling & Development & Go live (Oracle FDI)

-Design and implement data models, pipelines, and semantic layers within Oracle Finance Data Intelligence (leveraging Oracle subject areas, views, and data products).

-Build/Configure reports, dashboards, and self-service datasets.

-Implement drill paths, prompts/filters, row-level security, and data

entitlements.

-Establish data quality checks & build/maintain documentation

-Conduct UAT and migrate in production environment

• Demos, Enablement & Iteration

-Run demos and showcases with Finance leadership and business stakeholders; collect feedback and iterate fast.

-Create playbooks and training (how-to guides, release notes, KPI definitions) to drive adoption and self-service analytics.

Required Qualifications:

• Hands-on experience implementing and configuring Oracle Financial Data Intelligence (FDI)
• Experience leading requirements gathering sessions with finance stakeholders including FP&A, Accounting, and Procurement
• Strong understanding of financial metrics and KPIs such as revenue, COGS, operating expenses, cash flow, AP/AR aging, and procurement cycle times
• Proven ability to design and build data models, semantic layers, dashboards, and self-service datasets within Oracle FDI
• Experience configuring drill paths, prompts, filters, row-level security, and data entitlements
• Knowledge of Oracle subject areas, views, and data products
• Experience mapping business metrics to source systems and reporting structures
• Ability to establish data quality checks and validation processes
• Experience conducting user acceptance testing and managing production migrations
• Strong documentation skills covering data models, configurations, and processes
• Ability to create training materials, playbooks, and how-to guides for end users
• Excellent communication skills with the ability to present to finance leadership and business stakeholders
• Ability to work autonomously with minimal supervision
• Strong organizational and prioritization skills

Preferred Qualifications:

• Experience with Oracle Cloud Financials (General Ledger, Accounts Payable, Accounts Receivable, Procurement)
• Familiarity with Oracle Analytics Cloud, OTBI, or Oracle Business Intelligence
• Background working directly with FP&A teams on budgeting, forecasting, or financial planning processes
• Experience with data integration tools or Oracle Integration Cloud
• Prior experience in a consulting or systems integrator environment
• Background working in multinational organizations or with global finance teams
• Experience driving self-service analytics adoption across an organization
• Knowledge of Agile methodologies and iterative delivery practices CBAP , PMP , or Oracle certifications

Core Competencies:

• Analytical Thinking: Ability to break down complex business problems, identify root causes, and develop structured solutions
• Technical Aptitude: Comfort working hands-on with data models, configurations, and reporting tools while understanding underlying data structures
• Business Acumen: Strong understanding of finance and accounting processes, terminology, and how data supports decision-making
• Communication: Ability to convey technical concepts to non-technical audiences and translate business needs into technical requirements
• Stakeholder Management: Skill in building relationships, managing expectations, and engaging effectively with finance leadership and cross-functional teams
• Attention to Detail: Commitment to data accuracy, documentation quality, and thorough testing
• Adaptability: Ability to iterate quickly based on feedback and adjust to evolving priorities
• Ownership & Accountability: Self-directed approach with a strong sense of responsibility for outcomes and deliverables
• Enablement Mindset: Focus on empowering end users through training, documentation, and self-service capabilities
• Collaboration: Ability to work effectively with technical and business teams across functions and geographies