Similar Jobs at General Motors
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
You will own the compilation stack transforming AI models into optimized inference for autonomous driving. This includes developing tools and techniques for model export and optimizing performance while ensuring safety and reliability.
Top Skills:
CudaJaxMlirOnnxPyTorchTensorFlowTensorrtTvmXla
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Compiler Engineer will develop a model compilation toolchain for deploying optimized machine learning models in autonomous vehicles, focusing on performance engineering and collaboration with cross-functional teams.
Top Skills:
C++CublasCudaCudnnJaxMlirOnnxPythonPyTorchTensorFlowTensorrtTvmXla
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead design and development of scalable, high-performance ML training infrastructure. Drive distributed training performance optimization, observability, and developer experience. Own cross-functional infrastructure initiatives, set technical direction and standards, and mentor engineers to deliver platform capabilities that support large-scale model training.
Top Skills:
AWSAzureDistributed TrainingFsdpGCPGpu ComputingPipeline ParallelismPythonPytorch 2.XTensorFlow
Description
Develop and design software applications for driverless technology company. Duties may include: Build out and improve observability systems, tools and the related codebase. Contribute code, perform code reviews, and create technical designs that improve performance and reliability of observability systems using software and systems engineering skills. Partner with other Software Engineering teams to better understand use-cases and guide the engineers to use the existing tools effectively. Build tools to enable engineers to collect and act on observability signals. May telecommute.
Additional Description
REQUIREMENTS: Bachelor's degree or foreign equivalent degree in Computer Science, Electrical Engineering, Computer Engineering or a related field and Five years of progressive, post-baccalaureate work experience as a Site Reliability Engineer, Software Engineer or a related occupation with a focus on distributed systems reliability. Experience must include:
1. Golang;
2. Operating Systems, including Linux;
3. Python Programming and Distributing Python Applications;
4. Working with Prometheus, Grafana, TSDBs, and observability pipelines;
5. Kubernetes Container Orchestration System, including Production Experience, Managing, Upgrading and Creating Clusters in Different Cloud Systems and for Different Workloads; and
6. Administering and Designing Cloud Oriented Solutions on Azure, GCP, or AWS.
Compensation:
#LI-DNI
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.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
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.
Accommodations
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 [email protected] or call us at 800-865-7580. 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.
Develop and design software applications for driverless technology company. Duties may include: Build out and improve observability systems, tools and the related codebase. Contribute code, perform code reviews, and create technical designs that improve performance and reliability of observability systems using software and systems engineering skills. Partner with other Software Engineering teams to better understand use-cases and guide the engineers to use the existing tools effectively. Build tools to enable engineers to collect and act on observability signals. May telecommute.
Additional Description
REQUIREMENTS: Bachelor's degree or foreign equivalent degree in Computer Science, Electrical Engineering, Computer Engineering or a related field and Five years of progressive, post-baccalaureate work experience as a Site Reliability Engineer, Software Engineer or a related occupation with a focus on distributed systems reliability. Experience must include:
1. Golang;
2. Operating Systems, including Linux;
3. Python Programming and Distributing Python Applications;
4. Working with Prometheus, Grafana, TSDBs, and observability pipelines;
5. Kubernetes Container Orchestration System, including Production Experience, Managing, Upgrading and Creating Clusters in Different Cloud Systems and for Different Workloads; and
6. Administering and Designing Cloud Oriented Solutions on Azure, GCP, or AWS.
Compensation:
- The expected base compensation for this role is $206,315 to $216,315 Annually.
- Actual base compensation within the identified range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-DNI
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.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
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.
Accommodations
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 [email protected] or call us at 800-865-7580. 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.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
