Senior AIML Tooling Engineer
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Description
Role: We are looking for an ML tooling engineer to build tools to analyze and optimize distillation training and inference of ML models. You will develop and enhance GMs internal ML tooling for high performance software by leveraging state of the art tools like Nsight Systems PyTorch etc.
The Autonomous Vehicle (AV) software stack heavily relies on machine learning models to perform critical driving tasks. These cutting-edge custom ML models require an ecosystem of in-house tooling to analyze and improve this role you will collaborate closely with engineers and researchers from different AV Engineering teams (e.g. Computer Vision Perception Behavioral Prediction) to scope out system requirements while engaging with AV hardware teams to understand the target hardware platform and its constraints.
What Youll Do
- Identify new opportunities to improve both training and inference efficiency
- Build workflows for correctness and performance analysis on physical in-car compute and sensors
- Build tooling to predict model performance based on architecture and data shape
- Build tooling to trace actual performance on large distributed training and distillation jobs running on the worlds most powerful GPUs and analyze the results
- Continually evolve the toolchain and stack to leverage the latest advancements in AI
- Influence model architecture decisions and strategy within GM
Your Skills & Abilities:
- 5 years of experience in the field of AI/ML
- Experience with ML frameworks (e.g. PyTorch TensorFlow) and NVIDIA developer ecosystem (TensorRT Nsight-systems Nsight-compute))
- Expertise in writing production quality Python/C code
- Expertise in the software development life-cycle - coding debugging optimization testing integration
- BS or higher degree in CS/CE/EE or equivalent
- Experience developing and deploying machine learning models
- GPU programming (CUDA) and familiarity with ML SW stack (e.g. cuDNN cuBLAS)
- Experience with ML accelerators and hardware architecture
About GM
Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.
Benefits Overview
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Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.
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Required Experience:
Senior IC
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
About Company
GM is home to Chevrolet, Buick, GMC & Cadillac and has been leading the auto industry for over a century. See how we create a vehicle for every drive.
