Senior Software Engineer - SimCore

General Motors (GM)

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$170,600–$261,300 / yr
Posted
5 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $216k
$135k most similar roles pay here $275k

This role pays more than 65% of similar roles. Most pay $148,240–$222,000 — the shaded band above. At the midpoint, this role pays about $216k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 123 open roles on FindRole.

Listed pay typically runs $160,200–$261,300 across 73 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer - SimCore

As a Senior Software Engineer on the SimCore team, you will build and deploy advanced AI/ML solutions to support simulation workflows and engineering use cases. Your day-to-day involves collaborating with various teams to identify opportunities for AI-driven improvements and delivering robust production systems that meet clear success criteria. Ideal candidates have extensive experience in applied ML/AI engineering, particularly with modern multimodal or 3D computer vision pipelines like NeRF or Gaussian Splatting. Strong programming skills in Python and proficiency with libraries such as PyTorch, TensorFlow, and HuggingFace are essential, along with a solid understanding of ML fundamentals and the ability to bridge research exploration and practical engineering. This role focuses on fine-tuning and optimizing foundation models for integration into simulation pipelines or robotics systems, requiring deep knowledge of 3D geometry and sensor modeling, as well as experience in cloud platforms like GCP and Kubernetes.

What you'll do

  • Develop and deploy AI/ML solutions for simulation workflows and engineering use cases.
  • Fine-tune and optimize foundation models to integrate into production systems.
  • Build robust, high-performance inference pipelines using modern ML libraries.
  • Collaborate with teams to identify opportunities where AI can add value.
  • Lead projects from research exploration to practical engineering implementation.
  • Integrate advanced AI models into simulation pipelines and robotics systems.

What we're looking for

  • 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.
  • Deep knowledge of modern multimodal or 3D computer vision pipelines like NeRF and Gaussian Splatting.
  • Strong programming skills in Python and proficiency with PyTorch, TensorFlow, HuggingFace, gsplat.
  • Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics.
  • Proven ability to fine-tune and optimize foundation models for production systems.

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