Top Tech Jobs & Startup Jobs

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.

Designs and documents ASIC modules, supports pre-silicon simulation and verification, develops hardware and software test systems, and validates and characterizes chips. The engineer will document test plans, debug root causes, and work across analog, digital, and post-silicon validation activities in an on-site startup environment.

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.

Build and own an in-house pilot assembly line for a wearable robotics medical device. Responsibilities include developing tooling, fixtures, manufacturing processes, documentation, and supplier relationships; supporting design verification and clinical builds; ensuring manufacturing readiness; and contributing to process validation, risk management, and design transfer toward higher-volume production.

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.