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Principal Machine Learning Engineer

  • 위치
    • Sunnyvale, California
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202518674

설명

This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.  

The Role:

We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform. You will play a key role in shaping the infrastructure that powers large-scale training and cloud inference. This includes accelerating training throughput, scaling multi-modal models, and enabling the next generation of AI-driven driving systems. We're tackling challenges across distributed training, training efficiency, DDP/FSDP, data processing pipelines, and Pytorch model optimization. This is a highly impactful position where your technical leadership will define how we scale AI to achieve autonomy.

What You’ll Do:

  • Architect, build, and optimize core AI/ML platform infrastructure to support massive-scale model training.

  • Collaborate with data scientists, ML engineers, and software developers to enable seamless workflows from research to production.

  • Drive efficiency in large-scale distributed training and data processing pipelines.

  • Establish best practices for reliability, scalability, and performance across the AI/ML platform.

  • Provide technical leadership and mentorship, guiding teams on platform design, architecture decisions, and emerging technologies.

  • Partner with cross-functional stakeholders to align platform capabilities with business needs and strategic AI initiatives.

Your Skills & Abilities (Required Qualifications):

  • Bachelor’s degree or higher in Computer Science, related field, or equivalent experience.

  • 8+ years of professional software engineering experience.

  • 4+ years of specialized experience in AI/ML domain (e.g., enabling distributed training for large-scale models).

  • Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred) or TensorFlow.

  • Experience with distributed systems, GPU computing, and cloud environments (AWS, GCP, or Azure).

  • Comfortable operating in highly ambiguous and dynamic environments.

  • Willingness to travel to Sunnyvale, CA as needed.

What Will Give You a Competitive Edge (Preferred Qualifications):

  • Proven track record of self-motivation, execution, and delivering impact.

  • Deep expertise with PyTorch 2.x+ and distributed training frameworks.

  • Strong skills in profiling, analysis, debugging, and optimizing training performance (e.g., avoiding memory fragmentation, operation fusion).

  • Proficiency in C++ for performance-critical components.

  • Experience leading cross-functional projects and aligning diverse stakeholders on priorities.

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.  

  • The salary range for this role is $296,300 to $453,200. The actual base salary a successful candidate will be offered within this 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.

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

Benefits: 

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

    #GM-AV-1

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.