Senior Software Developer - SimCore

General Motors; Markham; On-site; CAD 131,000 - 181,000; Full time

Benefits offered by this job

Paid time off

Healthcare, dental and vision benefits

Life insurance

Pension plan with company contribution

GM Vehicle Purchase Plan

Job summary

General Motors is seeking a Senior Software Developer on the SimCore team to build and deploy applied AI/ML solutions for simulation workflows and internal tools. You will enable early exploration and rapid prototyping, then ship robust production systems.

You will collaborate with simulation, scenario-generation, data, and engineering teams to create value that meets customer and business criteria. This is a remote role in Canada.

Qualifications

• Master’s degree required; PhD preferred in CS/Robotics/EE.
• 5+ years of applied ML/AI engineering experience with at least 2+ years delivering production AI systems.
• Experience with VLM and world models from sensor data to 3D.
• Strong Python programming using PyTorch, TensorFlow, HuggingFace, OpenAI APIs.
• Solid ML fundamentals: data prep, training pipelines, evaluation metrics, optimization.
• Ability to move from research to practical engineering and lead projects end-to-end.

Responsibilities

• Build and deploy applied AI/ML solutions for simulation workflows.
• Move from exploration to shipping robust production systems.
• Collaborate with simulation, scenario-generation, data and engineering teams to deliver value.

Skills

Applied ML

Python

PyTorch

TensorFlow

HuggingFace

NeRF

World models

3D CV

Education

Master's degree in CS/Robotics/EE

PhD preferred

Tools

Kubernetes

Docker

GCP

Job description

Job Description

As a Senior Software Developer on the SimCore 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.

Remote – This role is categorized as remote. This means the successful candidate may be based anywhere in Canada and is not expected to report to a GM worksite unless directed by their manager.

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.
• 5+ years of applied ML/AI engineering experience, with at least 2+ 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 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 salary range for this role is $131,000 to $180,500.

The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Immigration

GM DOES NOT PROVIDE IMMIGRATION‑RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

Benefits

• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
• Healthcare, dental and vision benefits including a health care spending account and wellness incentive.
• Life insurance plans to cover you and your family.
• Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
• GM Vehicle Purchase Plan for you and your family.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.

We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.

In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Applicants in the recruitment process may be required, where applicable, to successfully complete role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment. To learn more, visit How we Hire.