Senior Software Engineer - SimCore

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

As a Senior Software Engineer on the SimCore team, you will build and deploy applied AI/ML solutions that directly supportsimulationworkflows, internal tools, and mission-critical engineering use cases. You willoperateat 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 aSenior Software 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.

Minimum Qualifications

• Master’s degreerequired, PhD preferred, in CS, Robotics, EE, or related fields.
• 5+ years of applied ML/AI engineering experience, with at least2+ years delivering production AI systems at scale.
• VLM and ML world model building this physical model from. Sensor to sensor, and sensor to 3D.
• Deep knowledge of at least one modern multimodal or 3D computer vision pipeline (e.g.,NeRF, Gaussian Splatting,world models,diffusion-based generation).
• Strong programming skills in Python, along with experience usingamodern ML/AI librarysuch asPyTorch, 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 betweenresearch exploration and practical engineering.
• Demonstrated ability to lead projects end-to-end with minimal guidance.

Preferred Qualifications

• Provenexperience 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.
• Proficiencywith vector search/RAG systemsand 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: $170,600 - $261,300. 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

• 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.