Senior AI Developer

Job Description

Hybrid:

This role is categorized as hybrid. This means the successful candidate is expected to report to the Milford Proving Grounds location three times per week, at minimum [or other frequency dictated by the business].

Relocation:

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

Why work for us

There’s never a more exciting time to work for General Motors! We are very passionate about our bold vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. Our transformed culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including techy open workspaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support employee volunteer interests and make it a priority to join together in efforts that give back to our communities.

The Role:

We are at a pivotal time in our industry where simulation techniques are paving the way towards a digital revolution of our engineering tools and systems.  As we transform and drive new software content for our vehicles, our vision is one that strongly augments simulation techniques with AI. This will enable maximum efficiency, increased robustness, optimized workflows, all scalable.
Towards this goal, we are creating dedicated teams to focus on AI, data analytics, simulation, and automation frameworks for hardware, software and system design and development. This role is key and is specifically critical to building AI models that can extract/learn from existing core information effectively.

Key Responsibilities / what you’ll do:

• Model, build and test AI based software that is subject to a wide variety of complex inputs.
• Use your expertise in LLMs and/or AI agents to help drive our SW/tools stack while maintaining key connection to our data frameworks (existing calibration or development guides for example)
• Work collaboratively with a team of specialists ranging from data scientists, simulation experts and calibration technical specialists to cohesively build new capability into our existing CoSimulation framework
• Use your knowledge to prototype new AI solutions that fit our goals as they evolve and we future proof our technology stacks.
• Contribute to visualizations of our work, and strive for physical meanings/interpretations of the AI outputs.
• Challenge the status quo continuously, with a main aim being to further our understanding of our data.
• Master ambiguity in a way that can leverage creative insights while remaining grounded in your deliverables.
• Lead and mentor others in the team towards a common goal

Qualifications and Required Skills:

• Good understanding of data science, advanced statistics, signal processing and simulation frameworks
• In depth knowledge of the core programming languages (Python, JavaScript, C/C++, etc.), as well as core AI toolsets and libraries (PyTorch, TensorFlow, etc.)
• Understanding and track record of developing and deploying LLM & Deep learning models, for NLP
• Knowledge of RAG, generative AI techniques, and Hybrid models are a plus.
• Knowledge of Full-Stack AI Deployment (e.g. scalable ML pipelines (MLOps) using Docker, Kubernetes, FastAPI, cloud services, or other modern toolsets)
• Willingness to learn and continue developing knowledge in an up-and-coming field.
• Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.
• Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.

Education & Experience:

• Bachelor’s degree in mathematics, Engineering, Physics, Computer Science, or a related field.
• 5+ years in in LLM development, AI-driven automation, or NLP solutions.

What Will Give You a Competitive Edge:

• Master’s degree or PhD in mathematics, Engineering, Physics, Computer Science, or a related field.
• Experience with Automotive SW development process
• Proven experience developing NLP solutions from a problem statement to deployment and ongoing refinement, including cloud solutions.
• Experience with advanced simulation or CoSimulation frameworks
• Knowledge of robust optimization techniques (GA’s, PSO, MDO, etc.)

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the cha