Senior Systems Integration & Test Engineer

present of AI; South San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Nimble seeks a Senior Hardware Validation Engineer in South San Francisco to investigate failures in warehouse robot power and control systems. You will perform hands-on board debugging, diagnose hardware vs firmware vs environment issues, and document root cause analyses for cross-team trust.

You will build reusable diagnostics and automation in Python to analyze telemetry, trends, and fault codes, while collaborating with AI-driven robot teams on-site.

Qualifications

• Five years in hardware validation or test for robots or similar products.
• Python skills for logs and automation.
• Comfort with embedded firmware faults and diagnostics.

Responsibilities

• Find out why electrical systems in warehouse robots fail and prevent recurrence.
• Hands-on board-level debugging of power, motor control, and logic boards.
• Write clear root cause reports to share findings across teams.
• Analyze logs and telemetry using Python to identify failure patterns and automate checks.

Skills

Python

Board-level debugging

Hardware validation

Root cause analysis

Tools

JTAG/SWD

STM32 firmware debugging

Job description

Engineering · South San Francisco · Senior level

This role is about finding out why the electrical systems in warehouse robots fail, then making sure the same failure does not happen again. It calls for hands-on board-level debugging of power, motor control and logic boards, comfort with embedded firmware faults, and the discipline to write clear root cause reports. A strong candidate has about five years in hardware validation or test for robots or similar products, plus Python skills for logs and automation.

How it fits the AI era

AI helps most with the pattern-spotting side of this work, such as sorting through fleet logs and error codes to see which faults repeat and which are one-offs. The robots themselves run on AI, so their reliability depends on solid power and motor hardware underneath. What stays human is the bench work: probing a failed board, judging whether a fault is hardware, firmware or environment, and earning trust across teams with a clear explanation.

How it builds AI experience

The role sits next to a fleet of AI-driven warehouse robots, so there is a chance to learn how autonomous machines behave in real sites and how their hardware and software fail together. To build relevant experience, practice using Python to analyze telemetry and find failure trends, and get used to how robot software reports faults. Building diagnostic tools that field teams can use is a practical way to apply data and automation to real hardware problems.

Worth showing

• Board-level fault root cause analysis
• Power electronics and motor drives
• STM32 firmware debugging with JTAG/SWD
• Python test automation and log analysis

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Nimble

Nimble provides fully autonomous fulfillment centers powered by AI robotics, per the company.