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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