Staff Software Engineer - Machine Learning

General Motors is focused on leading the change towards a world with Zero Crashes, Zero Emissions, and Zero Congestion. They are seeking a Staff Software Engineer to develop machine learning and reinforcement learning models for simulating road users in autonomous vehicle scenarios.

Responsibilities:

• Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization
• Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation
• Work as part of an ML team and contribute strong software engineering (SWE) expertise
• Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies

Requirements:

• 4+ years of experience in the field of robotics or latency-sensitive backend services
• Background working with machine learning teams, algorithms, and models
• Experience building highly performant ML and system pipelines
• Strong programming skills in modern C++ or Python
• Proven experience in machine learning and classification
• Familiar with ML frameworks such as Tensorflow or PyTorch
• Experience with profiling CPU and/or GPU software, process scheduling, and prioritization
• Passionate about self-driving car technology and its impact on the world
• Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions
• Ability to design across multiple systems
• Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain
• Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need
• Track record in deploying perception/prediction/av models into real world environments
• Experience working with RL and sequence prediction (ML) models