Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via email$ 158000 - 241900
1 Vacancy
Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta Austin Detroit Warren Milford or Mountain View you are expected to report to that location three times a week at minimum.
Role:We are looking for a deep learning compiler engineer to build out our ML compiler for deploying machine learning models to a variety of ML hardware accelerators. You will develop and enhance GMs internal ML compiler for high performance usability and retargetability by leveraging open-source technology like MLIR and LLVM.
The Autonomous Vehicle (AV) software stack heavily relies on machine learning to perform various critical tasks. In this role you will collaborate closely with engineers and researchers from different AV Engineering teams (e.g. Computer Vision Perception platform) to scope out system requirements while engaging with AV hardware teams to understand the target hardware platform and its constraints.
What Youll Do
Build out a retargetable compiler pipeline for on-car ML accelerators
Build tooling to improve the usability of the compiler enabling ML engineers to understand deployability performance and accuracy of compiled ML models
Support deployment of innovative ML models on the car
Influence compiler architecture decisions and strategy within GM
Your Skills & Abilities:
3 years of experience in the field of compilers
Experience with ML frameworks (e.g. PyTorch TensorFlow JAX) and software stack (e.g. MLIR XLA TVM TensorRT etc)
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
What will give you a competitive edge
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
Compensation:The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York Colorado California or Washington.
Relocation: This job may be eligible for relocation benefits.
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.
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.
From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources.
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.
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us or call us at . In your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Required Experience:
Senior IC
Full-Time