Senior AI/ML Engineer for Simulation & 3D Vision

General Motors Company; Sunnyvale (CA); On-site; USD 171,000 - 261,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision coverage

Health Savings Account

Flexible Spending Accounts

Retirement savings plan

Paid vacation & holidays

Tuition assistance

Employee assistance program

GM vehicle discounts

Job summary

General Motors Company is seeking a Senior Software Engineer on the SimCore team in Sunnyvale, CA to build applied AI/ML solutions that directly support simulation workflows and internal tools. You will work across exploration to production, shipping robust systems.

The role emphasizes hands-on experience with state-of-the-art multimodal GenAI and 3D reconstruction models, focusing on fine-tuning and integrating models into production pipelines rather than training foundation models.

Qualifications

• Master’s degree required; PhD preferred in CS, Robotics, EE, or related fields.
• 5+ years of applied ML/AI engineering; 2+ years delivering production AI systems at scale.
• Experience with multimodal/3D pipelines and modern vision techniques.

Responsibilities

• Build and deploy applied AI/ML solutions to support simulation workflows and internal tools.
• Collaborate with simulation, data, and engineering teams to create value-based AI solutions.
• Lead projects end-to-end from research exploration to production shipping.

Skills

Python programming

ML/AI engineering

Production AI systems

Multimodal/3D vision

PyTorch

TensorFlow

OpenAI APIs

HuggingFace

GCP/Kubernetes

Education

Master’s degree in CS/Robotics/EE

PhD preferred

Tools

PyTorch

TensorFlow

OpenAI APIs

HuggingFace

gsplat

Job description

General Motors Company is seeking a Senior Software Engineer on the SimCore team in Sunnyvale, CA to build applied AI/ML solutions that directly support simulation workflows and internal tools. You will work across exploration to production, shipping robust systems.

The role emphasizes hands-on experience with state-of-the-art multimodal GenAI and 3D reconstruction models, focusing on fine-tuning and integrating models into production pipelines rather than training foundation models.