Staff AI Engineer - SimAI Team

Job Description As an AI Engineer on the team, you will build and deploy applied AI/ML solutions that directly support simulation workflows, 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 a Staff AI Engineer with a strong applied research background. Ideal candidates have hands-on experience with state-of-the-art multimodal GenAI and/or 3D reconstruction models, and excel at building robust, high-performance inference pipelines.

This role is not focused on training foundation models, but rather on fine-tuning, adapting, optimizing, evaluating, and shipping them as production systems.

Minimum Qualifications Master's degree required, PhD preferred, in CS, Robotics, EE, or related fields. 8+ years of applied ML/AI engineering experience, with at least 3+ 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 or tools and deploying machine learning models in production. Strong programming skills in Python, along with experience using a modern ML/AI library such as PyTorch, TensorFlow, OpenAI APIs, HuggingFace, gsplat, etc.

Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization.

Ability to move fluidly between research exploration and practical engineering. Demonstrated ability to lead projects end-to-end with minimal guidance.

Preferred Qualifications Proven experience fine-tuning and optimizing foundation models (LLMs, VLMs, diffusion, 3D neural models). Experience integrating models into simulation pipelines, robotics systems, mapping workflows, or AV perception stacks.

Experience with scene understanding, or computational geometry Background in 3D geometry, graphics, or sensor modeling. Proficiency with vector search/RAG systems and 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.

Compensation: 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.

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.

Remote: 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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