Senior Embedded Systems Engineer, AV Launch

generalmotors; Sunnyvale (CA); Hybrid; USD 153,000 - 234,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Tuition assistance

Job summary

General Motors in Sunnyvale is seeking an experienced software engineer for the Autonomous Vehicle Launch team. You will develop embedded applications and onboard services that run across distributed vehicle computers, collaborating with teams across hardware benches, simulations, and cloud services to enable self-driving capabilities.

The role emphasizes modern C++ and Python development, Linux-based environments, and building testable tooling for large systems, with opportunities to mentor

Qualifications

• Bachelor’s degree in STEM field or relevant work experience.
• 5+ years of experience building and shipping production-quality software, with a focus in Linux-based environments.
• Strong background in modern C++ and Python development.
• Experience working with and building tooling for large systems.
• A high standard and commitment to quality by designing for testability.

Responsibilities

• Build on-vehicle services that provision, execute, and monitor autonomous vehicle software in development and production workflows.
• Build frameworks to configure self-driving software for a wide variety of simulation environments, hardware platforms, and use cases.
• Develop systems and frameworks to monitor vehicle status and exfiltrate data.
• Collaborate with colleagues across multiple teams and mentor other developers.
• Deliver complex projects through incremental development.

Skills

Linux

C++

Python

Large systems tooling

Testability

Education

Bachelor’s degree in STEM field

Job description

General Motors in Sunnyvale is seeking an experienced software engineer for the Autonomous Vehicle Launch team. You will develop embedded applications and onboard services that run across distributed vehicle computers, collaborating with teams across hardware benches, simulations, and cloud services to enable self-driving capabilities.

The role emphasizes modern C++ and Python development, Linux-based environments, and building testable tooling for large systems, with opportunities to mentor