Job Description Work Arrangement:
The Role
What You'll Do (Key Responsibilities)
- 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.
Additional Job Description Your Skills \& Abilities (Required Qualifications)
- Bachelors degree in Mathematics, Engineering, Physics, Computer Science, or a related field.
- 5 years in in LLM development, AI-driven automation, or NLP solutions.
- 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 (Retrieval augmented generation), 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.
What Will Give You a Competitive Edge (Preferred Qualifications)
- Masters degree in mathematics, Engineering, Physics, Computer Science, or a related field (PhD in LLM or NLP research is preferred).
- 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.)
Benefits Overview
- Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
- Healthcare, dental and vision benefits including 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.
- Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values.
- Tuition Assistance and Employee Assistance Program.
- GM Vehicle Purchase Plan for you, your family and friends.
About GM
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