Embedded AV Launch Engineer (Hybrid)

General Motors LLC

Sunnyvale (CA)

Hybrid

USD 153,000 - 234,000

Full time

14 days+
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Benefits offered by this job

Medical
Dental
Vision
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts

Job summary

General Motors LLC is hiring an engineer for the Autonomous Vehicle Launch team to develop embedded applications and frameworks that provision, execute, instrument, and monitor our self-driving stack. You’ll work across vehicles, hardware benches, simulations and cloud services to enable onboard workflows and use cases.

The role requires 5+ years in Linux-based software, strong C++ and Python skills, and the ability to build tooling for large systems.

Qualifications

  • 5+ years of production-quality software in Linux environments.
  • Strong background in modern C++ and Python development.
  • Experience building tooling for large systems.
  • Commitment to testable, high-quality designs.

Responsibilities

  • Build on-vehicle services that provision, execute, and monitor autonomous vehicle software.
  • Develop frameworks to configure self-driving software for diverse environments and platforms.
  • Create systems to monitor vehicle status and exfiltrate data.
  • Collaborate with multiple teams and mentor other developers.
  • Deliver complex projects through incremental development.

Skills

C++
Python
Linux
Tooling

Education

Bachelor’s degree in STEM or equivalent

Job description

General Motors LLC is hiring an engineer for the Autonomous Vehicle Launch team to develop embedded applications and frameworks that provision, execute, instrument, and monitor our self-driving stack. You’ll work across vehicles, hardware benches, simulations and cloud services to enable onboard workflows and use cases.

The role requires 5+ years in Linux-based software, strong C++ and Python skills, and the ability to build tooling for large systems.

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