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Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View office three times per week at minimum.
Join the team driving the future of AI innovation at General Motors! Our AI Core Infrastructure team which sits directly under the Chief AI Officer is a high-impact team powering GMs enterprise-wide AI infrastructurefrom customer in-vehicle experience to manufacturing innovation. We design the foundational AI infrastructure that powers every corner of the company. Were building the data compute and deployment layers necessary to scale cutting-edge AI systems across GMs global operations.
Our core responsibilities include building and scaling core AI infrastructure and tools to enable rapid development training fine-tuning evaluation and deployment of AI models across the organization collaborating with vehicle and manufacturing teams to deliver high-impact AI solutions across GMs portfolio championing and promoting cutting-edge AI technologies while ensuring responsible AI practices.
The Role:
As a Principal Machine Learning Engineer on the AI Core Infrastructure team you will play a critical role in shaping GMs future through the high-impact AI systems you develop. You will design and build advanced AI technologies then integrate them into GMs business strategies culture and operational shape the long-term technical vision for AI infrastructure at GM. Youll drive cross-org strategy and build scalable systems that empower AI innovation across every part of GMs business. Youll also collaborate with senior research leaders and external partners to push the frontier of whats possible.
What Youll Do:
Design develop and test cutting-edge AI infrastructure including data pipelines fine-tuning frameworks and evaluation tools
Collaborate with researchers and industry partners to understand technical requirements and measure impact
Scale our architecture to deploy reliably and performantly across large-scale applications
Define best practices for AI software engineering across the company including AI safety/guardrails
Provide technical guidance to internal teams and business partners
Lead cross-functional development efforts with engineering and product teams
Mentor engineers and foster technical growth across the teams
Drive platform-wide architecture decisions with a focus on scale reliability and performance
Set the long-term direction for AI infrastructure across GMs enterprise.
Your Skills & Abilities (Required Qualifications)
10 years in software engineering or ML infrastructure (or post-graduate equivalent)
Proven track record of building cutting-edge AI infrastructure (data training eval and/or serving)
Strong understanding of modern AI algorithms models and frameworks (e.g. PyTorch TensorFlow etc.)
Experience deploying AI systems on Cloud-based GPUs/TPUs (AWS Azure GCP etc.)
Fluency in Python and at least one of C/Go/Java
Proven ability to architect production-ready distributed systems
Highly developed communication and collaboration skills
Recognized technical leader in infrastructure design distributed systems or applied AI
Experience shaping platform strategy and influencing cross-org technical roadmaps
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience in the automotive industry or working with physics-based simulations
Experience with natural language AI such as customization summarization and translation
Experience with test-driven development
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.
Company Vehicle: Upon successful completion of a motor vehicle report review you will be eligible to participate in a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
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Required Experience:
Staff IC
Full-Time