Senior Systems Integration & Test Engineer
Nimble Robotics
- Location
- Onsite (South San Francisco, California)
- Compensation
- $160k - $190k/yr
- Employment
- Full-time
- Level
- Senior Level
About the role
Nimble Robotics is building an autonomous supply chain using generalist superhumanoid robots. This role serves as the senior technical escalation point for electrical failures in the warehouse robot fleet, diagnosing issues from board-level faults to system-level integration to ensure fleet reliability.
Skills
Benefits
- Health Insurance
- 401k
- Paid Parental Leave
Perks
- Unlimited Flexible Time Off
- Commuter Benefits
- Referral Bonus
- Equity
Full job details
Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We’re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We’ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world’s best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world’s most legendary robotics company at the most pivotal moment in history, we want to work with you.
We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids.
Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles).
Let’s be legendary.
Your core mission is to be the person who finds out why a robot's electrical system failed. You will diagnose and triage faults in power distribution boards, logic boards, and motor controller boards, drive root cause to closure, and turn what you learn into design, test, and process changes that keep a production fleet running at its SLA.
Responsibilities
- Serve as the senior technical escalation point for electrical failures on deployed robots: power loss, brownouts, resets, communication dropouts, motor controller faults, and intermittent e-stops.
- Triage field incidents quickly and decide what is a board fault, a harness or connector fault, a firmware issue, or a mechanical or environmental cause.
- Mine fleet telemetry, error codes, and logs to spot failure trends, separate systemic issues from one-off failures, and rank fixes by fleet impact.
- Debug embedded firmware on STM32-class microcontrollers alongside the firmware team: decode fault and error flags, read crash dumps and fault registers, and attach a debugger (JTAG/SWD) to a live or failed board.
- Tell hardware faults apart from firmware faults, such as watchdog resets, ISR timing overruns, misconfigured protection thresholds, or bad build configurations.
- Own electrical integration and validation for next-generation hardware: board bring-up, power-on and power-sequencing tests, harness verification, and system-level integration with firmware and robot software.
- Write and run electrical test plans: DVT/PVT, HALT/HASS, thermal, vibration, EMC pre-compliance, and long-duration duty-cycle and reliability testing.
- Build test fixtures, automated test scripts, and diagnostic tools that field and manufacturing teams can use to triage faults themselves.
- Turn root causes into concrete corrective actions: board revisions, component changes, firmware fixes, test coverage, and field service procedures.
- Communicate failure impact, root cause, and fix status clearly to engineering leadership and cross-functional stakeholders.
Qualifications
- BS or MS in Electrical Engineering, Computer Engineering, Mechatronics, or a related technical field.
- 5+ years in systems integration, hardware validation, or test engineering for robotics, electromechanical, automotive, or similar complex hardware products.
- Proven hands-on experience diagnosing board-level failures in power distribution, motor control, and digital logic or controller boards, in the lab and in the field.
- Strong understanding of power electronics: DC-DC conversion, battery systems, protection circuits, MOSFET switching, gate drivers, and BLDC/PMSM motor drives.
- Comfortable with lab tools: oscilloscopes (including current probes and differential probes), DMMs, electronic loads, bench supplies, logic analyzers, and CAN bus analyzers.
- Able to read and work from schematics, PCB layouts, datasheets, and wiring harness drawings, and to do component-level rework and probing.
- A track record of leading root cause investigations to closure, with documented corrective actions that measurably reduced field failures.
- Proficiency in Python (or similar) for test automation and analysis of logs and telemetry data.
- Strong written communication: you can turn a messy field failure into a clear RCA that hardware, firmware, and operations teams can all act on.
- Willingness to travel to warehouse sites for on-site diagnosis (up to ~20%).
- Electrical field failures get a confirmed root cause and a corrective action, not just a board swap.
- Repeat electrical failure modes across the fleet go down, and robot downtime from electrical faults drops measurably.
- Field technicians can triage common electrical faults on their own, using the guides and tools you built.
- Next-generation boards reach production with known failure modes already found and fixed in validation, not in the field.
Compensation