Applied AI Software Engineer - Tesla

Key Responsibilities

• Design, implement, and deploy production‑grade AI agents that reason over live manufacturing data and execute control actions.
• Collaborate with domain experts to translate complex factory processes into robust software models.
• Build end‑to‑end pipelines: data ingestion, feature extraction, model training, inference serving, and monitoring.
• Ensure high availability, low latency, and safety of AI services operating during shifts.
• Iterate on model performance using reinforcement learning and continuous feedback from operators.

Requirements

• Strong programming skills in Python and C++ with experience in real‑time or embedded systems.
• Hands‑on expertise in machine learning, especially reinforcement learning or control‑oriented AI.
• Proven ability to work with large, noisy manufacturing datasets and build reliable data pipelines.
• Experience deploying scalable services (e.g., Docker, Kubernetes, or similar orchestration tools).
• Excellent problem‑solving skills and the ability to quickly acquire deep domain knowledge of factory operations.