Software Engineer AV HIL Platform and Services (Early Career))

About the Team 
The HIL Platform and Services team in GM’s Autonomous Vehicle (AV) Organization is responsible for developing and scaling high-fidelity, reliable Hardware-in-the-Loop (HIL) validation platforms that test AV software before it’s deployed to vehicles. Our platforms ensure enterprise usability, end-user functionality, and high-quality, use-case-driven signals for AV performance validation and AV system reliability. 

We build and operate the systems that let AV teams validate perception, planning, control, and AI models against real hardware interfaces and complex scenarios, long before they reach the road. 

About the Role 
As a Software Engineer on the HIL Platform and Services team, you will be at the intersection of AV software and AI models and the hardware systems that enable vehicle autonomy. You will help shape what it takes to run, deploy, and test software on the next generation of GM AVs. You will work closely with teams across the AV organization – including Embodied AI, Model Deployment, Middleware, OS, Sensor Applications, and Vehicle Integration – to build the software and tooling that make large-scale HIL validation possible. 

This is an early-career / new graduate role designed for candidates who have recently or will be completing their degree by June 2026. You will be paired with experienced engineers to help you ramp up on AV Software, the Software HIL platform and services concepts, and our internal HIL platforms themselves.

What You’ll Be Doing (Responsibilities) 

• Develop software to increase the capabilities, fidelity, observability, and scale of our HIL platform and integration services. 

• Build and extend services and tools that make it easy for AV teams to configure, run, and debug tests on HIL benches. 

• Deliver reliable software through clear requirements generation, continuous integration, automated testing, issue tracking, and code reviews. 

• Collaborate with colleagues across multiple AV teams to understand their validation needs and translate them into platform features. 

• Deliver complex projects through incremental development, iterating quickly while maintaining quality and reliability. 

Basic Qualifications (Required) 

• Currently has, or is in the process of obtaining a Bachelor or Master's degree in Computer Science or relevant technical field.  

• Degree must be completed prior to joining GM 

• Strong systems fundamentals (for example, data structures, algorithms, operating systems, or computer architecture) and solid coding abilities in Python and/or C++, demonstrated through coursework, internships, or substantial projects. 

• Understanding of how to design high-performance software components (for example, from systems, OS, networks, or performance-sensitive projects). 

• Experience developing in a Linux environment (class projects, labs, research, or internships all qualify). 

• Ability to work effectively in a collaborative, cross-functional team, with clear written and verbal communication. 

Preferred Qualifications (Nice to Have) 

• Experience optimizing or evaluating complex software systems on dedicated hardware (for example, GPUs, embedded boards, FPGAs, or custom test rigs). 

• Exposure to ROS architectures (robotics projects, labs, or internships). 

• Experience with low-latency or real-time systems (for example, control loops, real-time simulations, or latency-sensitive services). 

• Prior exposure to the autonomous driving, robotics, or real-time simulation domains (internships, research, or substantial personal projects). 

• Experience with SQL 

• Familiarity with a large build system such as Bazel, CMake, or similar for multi-language, multi-target projects. 

Location:

• Sunnyvale, CA

• This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week.

• This job may be eligible for relocation benefits