Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Supports two senior executives across Go-to-Market and Engineering by managing calendars, travel, meetings, communications, expenses, events, documents, special projects, and cross-functional coordination. The role requires exceptional organization, discretion, judgment, communication, and the ability to manage competing priorities in a fast-paced startup. The Executive Assistant works onsite in Emeryville five days per week and represents executives with internal and external stakeholders.

Manufacturing Engineer responsible for sustaining and improving manufacturing equipment and processes from development through production ramp. Duties include preventive maintenance, process optimization, BOM translation, root-cause analysis, documentation, equipment validation, contract manufacturer support, DFM/DFX feedback, and continuous improvement. The role partners with multidisciplinary teams, owns projects, supports production readiness, and travels between Emeryville and Santa Clara as needed.

Leads the design, integration, deployment, and lifecycle management of automated manufacturing equipment and production systems. Develops scalable processes, improves throughput and yield, manages equipment reliability and maintenance, oversees contract manufacturer builds, and drives root-cause corrective actions. Establishes manufacturing standards, supports equipment commissioning, manages projects across sites, and mentors engineers while ensuring quality, safety, cost, and production readiness.

Design and build distributed manufacturing software coordinating state, timing, and behavior across hardware. Implement APIs, real-time controllers, instrumentation for ML/AI, and reliability/observability. Drive architecture decisions, improve CI/CD and testing practices, debug across software/firmware/hardware, and collaborate with cross-functional engineering teams to converge on a production-ready platform.

Own end-to-end electrical test development for novel micromachine devices, including test strategy, precision measurement, instrumentation, PCB design, firmware, mechanical fixtures, and production integration. Develop error budgets, validate data quality, document systems, and improve reliability and throughput while balancing accuracy, cost, scalability, and speed. Collaborate with device, manufacturing, and product teams to translate ambiguous requirements into measurable specifications and robust test systems.

Manage PLM document control in Arena: create/update/release drawings, SOPs, and manufacturing instructions; perform QA checks; route ECOs; maintain templates and naming conventions; produce work instructions and onboarding materials; perform light CAD tasks in Onshape; audit and improve documentation and workflows.

Build and operate production MLOps infrastructure spanning experimentation, model training, deployment, serving, monitoring, retraining, and rollback. Develop ML data and feature pipelines using multimodal manufacturing data, maintain lakehouse and feature-store capabilities, and establish observability and human-in-the-loop feedback systems. Collaborate with data, AI, software, process, materials, and simulation engineers to deliver reliable, scalable ML platforms and model feedback loops.

Architect and implement software infrastructure that coordinates precision manufacturing equipment, robotics, embedded controllers, and cloud services. Define interfaces, develop APIs and distributed services, build automated testing, simulation, and CI/CD pipelines, perform system integration and validation, drive performance and reliability improvements, and lead cross-boundary debugging, FMEA, and root-cause analysis.

Lead end-to-end People Operations to scale processes, HRIS, payroll/benefits in‑house, performance and development programs, site employee experience, and People Ops team development across multiple California sites.

Own the design-for-manufacturing software layer of the Matter Compiler CAM stack. Develop computational geometry algorithms, manufacturability constraints, layout and retention logic, physical process models, validation systems, and production knowledge bases. Collaborate with AI, modeling, design, and process engineering teams to translate manufacturing expertise into auditable, testable code and validate results against fab runs.