Job Description
About the Team
The HIL Platform and Services team in GM’s Autonomous Vehicle (AV) Organizationis responsible fordeveloping and scaling high-fidelity, reliable Hardware-in-the-Loop (HIL) validation platforms that test AV software beforeit’sdeployed 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 andoperatethe systems that let AV teamsvalidateperception, planning, control, and AI models against real hardware interfaces and complex scenarios, long before they reach theroad.
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 GMAVs.Youwill work closely with teams across the AVorganization– 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 anearly-career/ new graduate role designed for candidateswho have recently or will be completing their degree by June 2026.You will be paired with experienced engineers to help you ramp up onAV Software, theSoftwareHILplatform andservicesconcepts,and our internalHILplatformsthemselves.
WhatYou’llBe Doing (Responsibilities)
Develop software to increase the capabilities, fidelity, observability, and scale of our HIL platform and integration services.
Deliver reliable software through clearrequirementsgeneration, continuous integration, automated testing, issue tracking, and code reviews.
Basic Qualifications (Required)
Strong systems fundamentals (for example, data structures, algorithms, operating systems, or computer architecture) and solid coding abilities in Python and/or C++,demonstratedthrough coursework, internships, orsubstantialprojects.
Understanding ofhow 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).
Preferred Qualifications (Nice to Have)
Experienceoptimizingor evaluating complex software systems on dedicated hardware (for example, GPUs, embedded boards, FPGAs, or custom test rigs).
Experience with low-latency or real-time systems (for example, control loops, real-time simulations, or latency-sensitive services).
Priorexposure to the autonomous driving, robotics, or real-time simulation domains (internships, research, orsubstantialpersonal projects).
Familiarity with a large build system such as Bazel,CMake, or similar for multi-language, multi-target projects.
Location:
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington.
What you’ll get from us (Benefits):
Variety of health and wellbeing benefit programs and more





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