Senior Machine Learning Engineer- Trajectory Generation
MotionalSalary not specified
Full Time
Senior (5 to 8 years)
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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