Software Engineer, AI Solutions

General Motors; United States; Remote; USD 100,000 - 160,000; Full time

Job summary

General Motors is seeking to enhance its AI Solutions team responsible for deploying machine learning models in autonomous vehicles. This role involves collaboration across multiple engineering disciplines to optimize and execute models in both onboard and cloud environments, promoting innovation in self-driving technology.

Qualifications

• Expertise in deploying machine learning models and runtime software.
• Experience with ML systems and collaborative engineering.

Responsibilities

• Deploy ML models for self-driving vehicles in onboard and offboard environments.
• Develop software and APIs for model execution.
• Collaborate with various engineering teams.

Skills

Machine Learning

Software Optimization

Operating Systems

Hardware-aware Engineering

Job description

Remote: This role is based remotely, but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location at least three times a week.

Role: The AI Solutions team in the GM AV Organization is responsible for end-to-end deployment of machine learning models for inference, from frameworks such as PyTorch to the autonomous vehicle hardware platform. This includes the ML runtime software needed to execute models on the vehicle. We collaborate closely with partners in Embodied AI, AI Kernels, AI Compilers, and AI Architecture. The role combines expertise in ML systems, model serving, software optimization, operating systems, and hardware-aware engineering.

What You’ll Do:

1. Deploy machine learning (ML) models that drive self-driving vehicles by leveraging ML compilers, hardware-aware ML optimizations, and ML runtimes, targeting both onboard (vehicle) and offboard (cloud/simulation) environments.
2. Develop low-level ML runtime software and APIs to efficiently serve and execute models in onboard and offboard environments.
3. Collaborate with engineers from Embodied AI, Kernels, Compilers, Architecture, and System Performance teams.