Systems Integration Engineer

Systems Integration Engineer
Mountain View, CA
Hire Type: fulltime

125K/annum + benefits

This role will require travel; (Estimated Travel: ~30% (to vendor, manufacturing, and service facilities) Travel would be to other location/s in Mountain View, potentially Fremont as well as vehicle manufacturing sites in Phoenix, AZ and Novi, MI

Must Have Technical/Functional Skills
Deployed system experience (hands-on with integrated HW/SW systems), ideally in a fast-paced technology or automotive environment.
System Troubleshooting: Strong hands-on experience assembling, debugging, and testing complex hardware and software systems.
Broad knowledge across electrical, computer, and mechanical engineering fields, with the ability to quickly master new technical topics.
Software Skills: Working knowledge of an object-oriented programming language (e.g., Python, C++).
Preferred Qualifications:
High-level understanding of autonomous vehicle subsystems (sensors, compute, wiring harnesses, power distribution, vehicle actuators).
Familiarity with mechanical and electrical components of modern passenger vehicle control systems (chassis communication, controls, braking, steering).
Hands-on experience with diagnostic equipment (Digital Multimeters (DMM), Oscilloscopes) and standard hand tools.
Proficient in Python and C/C++ for scripting and basic debugging/code changes.

Roles & Responsibilities
As a Systems Integration Engineer, you will play a critical role in bringing complex self-driving vehicle systems to life. You will be responsible for taking designed hardware components (compute, sensors, wiring, actuators) and integrating them into functioning prototype platforms. This hands-on role bridges the gap between design engineering and manufacturing, focusing on system bring-up, multi-disciplinary debugging (mechanical, electrical, and software), and initial triage of issues to ensure prototype and production fleets are enabled on schedule.
Key Responsibilities:
System Bring-up & Issue Troubleshooting: Investigate novel issues with self-driving vehicle systems (benches and vehicles).
Multi-Disciplinary Debugging: Diagnose and troubleshoot complex issues across mechanical, electrical (EE), and software (SW) domains on self-driving systems.
Triage & Issue Resolution: Perform first-line triage on non-functioning systems. Identify the root cause of failures, determine which sub-system/component is at fault, and collaborate with design owners to implement fixes.
Vendor Collaboration: Partner with engineering and manufacturing vendors to support system build phases and resolve integration challenges.
Testing & Data Collection: Design and execute tests and experiments to gather key data, verifying subsystem interfaces and requirements.

Generic Managerial Skills:
Communication: Excellent communication skills, with the ability to collaborate effectively with both technical teams (design, software) and non-technical teams (operations, technicians).