Autonomous Vehicle Systems Integration Engineer

Envision Technology Solutions; Mountain View (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Envision Technology Solutions in Mountain View, CA is seeking a Systems Integration Engineer with 4–10 years of hands-on HW/SW integration experience. You will bring components together into functioning prototype platforms, bridging design, engineering, and manufacturing while triaging issues to keep fleets on schedule.

Proficiency in Python and C/C++, plus familiarity with diagnostics tools and multi-disciplinary debugging across mechanical, electrical, and software domains, is required.

Qualifications

• Deployed HW/SW integration experience in fast-paced tech or automotive environments.
• Strong hands-on experience troubleshooting, debugging, and testing complex hardware/software systems.
• Broad knowledge across electrical, computer, and mechanical engineering fields.

Responsibilities

• System Bring-up & Issue Troubleshooting: investigate issues with self-driving vehicle systems on benches and vehicles.
• Multi-Disciplinary Debugging: diagnose issues across mechanical, electrical EE, and software SW domains.
• Triage & Issue Resolution: perform first-line triage to identify root causes and work with design owners to implement fixes.
• Vendor Collaboration: partner with engineering and manufacturing vendors to support system builds and resolve integration challenges.
• Testing & Data Collection: design and execute tests to gather data and verify interfaces.

Skills

Deployed systems

System troubleshooting

Electrical engineering

Mechanical engineering

Python

C/C++

Multi-disciplinary debugging

Tools

Digital Multimeters (DMM)

Oscilloscopes

Job description

Envision Technology Solutions in Mountain View, CA is seeking a Systems Integration Engineer with 4–10 years of hands-on HW/SW integration experience. You will bring components together into functioning prototype platforms, bridging design, engineering, and manufacturing while triaging issues to keep fleets on schedule.

Proficiency in Python and C/C++, plus familiarity with diagnostics tools and multi-disciplinary debugging across mechanical, electrical, and software domains, is required.