[Remote] Senior Software Engineer - Machine Learning at General Motors

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, BiotechnologyIndustries

Requirements

Candidates must have 4+ years of experience in robotics or latency-sensitive backend services, with a background in machine learning teams, algorithms, and models. Strong programming skills in modern C++ or Python are essential, along with expertise in setting scalable, efficient, and fault-tolerant architectures. Experience with ML frameworks like Tensorflow or PyTorch, profiling CPU/GPU software, and deploying ML models into real-world environments is highly desirable. A passion for self-driving car technology and the ability to design across multiple systems, shifting between coding, design, technical strategy, and mentorship are also required.

Responsibilities

The Senior Software Engineer will develop machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization. Responsibilities include streamlining integration, creating ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation. The engineer will contribute strong software engineering expertise to the ML team, accelerating project timelines, particularly for Autopilot, Lane Keep, and autonomous vehicle technologies. Experience in simulation and robotics is preferred, with a focus on candidates from AV or robotics backgrounds.

Skills

Machine Learning

Reinforcement Learning

Generative AI

Python

MLOps

Data Pipelines

Software Engineering

Simulation

Robotics

Autonomous Vehicles

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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