AI Engineer - SimAI Team

Job Description

As an AI Engineer on the team, you will build and deploy applied AI/ML solutions that directly supportsimulationworkflows, internal tools, and mission-critical engineering use cases. You will operate at the full spectrum of innovation—from early exploration and rapid prototyping to shipping robust, maintainable production systems.

You will collaborate closely with simulation, scenario-generation, data, and engineering teams to uncover opportunities where AI can create value —then deliver solutions that meet clear customer and business success criteria.

We are looking for aStaff AI Engineerwitha strong applied research background. Ideal candidates have hands‑on experience withstate‑of‑the‑artmultimodal GenAI and/or3D reconstruction models, and excel at buildingrobust, high‑performance inference pipelines. This role isnot focused on training foundation models, but rather onfine‑tuning, adapting,optimizing, evaluating, and shippingthem as production systems.

• Master’s degree required, PhD preferred, in CS, Robotics, EE, or related fields.
• 8+ years of applied ML/AI engineering experience, with at least3+ years delivering production AI systems at scale.
• Deep knowledge of at least one modern multimodal or 3D computer vision pipeline (e.g.,NeRF, Gaussian Splatting,world models,diffusion‑based generation).
• Hands‑on experience building AI agents ortoolsanddeploying machine learning models in production.
• Strong programming skills in Python, along with experience usingamodern ML/AI librarysuch asPyTorch, Tensor Flow, OpenAI APIs,Hugging Face,gsplat, etc.
• Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization.
• Ability to move fluidly betweenresearch exploration and practical engineering.
• Demonstrated ability to lead projects end‑to‑end with minimal guidance.

• Proven experience fine‑tuning andoptimizingfoundation models(LLMs, VLMs, diffusion, 3D neural models).
• Experience integrating models intosimulation pipelines, robotics systems, mapping workflows, or AVperceptionstacks.
• Experience with scene understanding, or computational geometry
• Background in 3D geometry, graphics, or sensor modeling.
• Proficiency with vector search/RAG system sand embedding pipelines.
• Familiarity with GCP or other cloud platforms, Kubernetes, Docker, and production observability.
• Prior experience mentoring teams, defining architecture, and leading multi‑quarter technical initiatives.

• The expected base compensation for this role is: $189,300 - $290,700. Actual base compensation within the identified range will vary based on factors relevant to the position.
• You also need to include general information about potential commissions, if applicable.
• 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.

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.

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

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