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

Own full-cycle recruiting as the company’s sole recruiter, sourcing and closing passive candidates across engineering, clinical, quality, and regulatory roles. Partner with hiring managers on role definition, compensation, interview design, and hiring decisions. Track recruiting metrics, improve hiring processes, build employer brand initiatives, and ensure a strong candidate experience while supporting an onsite deep-tech organization.

Develop and test embedded firmware in C/C++ for implantable and external medical devices. Responsibilities include device drivers, communication interfaces, hardware bring-up, debugging, automated testing, integration, defect investigation, and regulated documentation under ISO 13485 and IEC 62304. The role collaborates with hardware, software, and research teams and requires hands-on onsite laboratory work.

Analyze neural and behavioral research data end to end, including statistical design, signal quality, preprocessing, quality control, decoding models, pose and kinematic analysis, and reproducible pipelines. The role supports study design, closed-loop sessions, publications, and collaboration with scientific and software teams to translate research methods into reliable workflows.

Own the architecture, transistor-level design, verification, tapeout, and silicon bring-up of a low-noise, ultra-low-power analog/mixed-signal ASIC for an implantable neural interface. Lead foundry, IP, packaging, and test decisions; design critical analog blocks; develop behavioral models; direct verification and reliability analysis; mentor engineers; and establish design documentation and reproducibility standards.

Lead architecture and delivery of clinician-facing and patient-facing Android applications for neural interfaces and powered exoskeletons. Build real-time streaming data visualizations, device connectivity, cloud integrations, and safety features. Develop within IEC 62304 and FDA-regulated processes, producing documentation for audits and submissions. Partner with medical teams, translate user feedback into designs, and direct external contributors while ensuring accessibility, compliance, and integration quality.

Lead the architecture, prototyping, integration, validation, and debugging of electromechanical systems for a robotic hand exoskeleton. Own actuator and sensor-integrated subsystems from concept through clinical-study readiness, define validation strategies, resolve multidisciplinary hardware and controls issues, and guide reliability, manufacturability, and production transition efforts. Mentor engineers, establish engineering processes, support vendor and component decisions, and develop fixtures, harnesses, and integration tooling.

Lead neural decoding and machine learning strategy for brain-computer interfaces, taking algorithms from research through real-time deployment in human clinical studies. Develop closed-loop decoders, calibration and adaptation methods, inference runtimes, and clinical deployment processes. Define data and evaluation standards, integrate models across software, firmware, hardware, and robotics, support regulated development, debug cross-functional issues, and mentor ML engineers.

Designs and develops low-power, miniaturized electrical systems for implantable and wearable medical devices. Responsibilities include architecture, schematic design, component selection, simulation, PCB development, analog/digital debugging, board bring-up, prototyping, validation, and production transition. The engineer collaborates with firmware, mechanical, manufacturing, and systems teams while addressing power, communications, scalability, and product performance.

Architects and develops electrical systems for implantable and wearable Class III medical devices. Responsibilities include system architecture, PCB and mixed-signal hardware design, embedded C/C++ firmware, hardware-software integration, verification and validation, regulatory compliance, risk analysis, documentation, and transition from prototypes to production.

Own planning and execution for software and firmware projects supporting an implantable brain-computer interface. Build schedules, track milestones and dependencies, manage risks, coordinate engineering and cross-functional teams, and drive projects through integration, verification, regulated documentation, and release. The role uses Jira and Confluence and partners with Quality, Regulatory, Hardware, Research, and engineering leadership.