General Motors

Senior Software Engineer, AI Solutions

New York, New York, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates must have 3+ years of relevant industry experience, proficiency in a Linux environment, and strong system fundamentals with coding abilities in C++ and Python. Experience in ML model optimization, deployment, runtimes, or serving infrastructure is required, along with a background in computer architecture and operating systems. Experience with optimizing complex software systems on dedicated hardware and understanding how to design high-performant software components are also necessary. A BS, MS, or PhD in Computer Science or a related technical field is required. Preferred qualifications include experience with NVIDIA GPUs and CUDA, low latency or real-time systems, ML hardware and inference performance, lower-levels of an accelerator software stack, and experience in the AV industry.

Responsibilities

The Senior Software Engineer will deploy machine learning models for self-driving vehicles using ML compilers, hardware-aware ML optimizations, and ML runtimes in both onboard and offboard environments. They will develop low-level ML runtime software and APIs for efficient model serving and execution. Collaboration with engineers from Embodied AI, Kernels, Compilers, Architecture, and System Performance teams is also a key responsibility.

Skills

Machine Learning
ML Systems
Model Serving
Software Optimization
Operating Systems
Hardware-Aware Engineering
ML Compilers
ML Runtimes
C++
Python
Linux
Computer Architecture
NVIDIA GPUs
CUDA

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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