Senior Software Engineer - SimCore

Description
As a Senior Software Engineer 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.
We are looking for a Senior Software 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.

• 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 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.

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