AI Infrastructure Engineer, Digital Optimus - Palo Alto [272000]

$140,000 - $252,000 yearly

Job Description

Digital Optimus is the software counterpart to our physical humanoid, designed to interact with computer interfaces and perform long-horizon agentic behaviors. Our approach is modeled after real-time control policies rather than screenshot-based VLM agents, with the larger goal of integrating with Tesla's broader AI ecosystem. We're seeking an ML/RL Infra Engineer to build scalable, reliable infrastructure that powers these agents and enables seamless, high-volume rollouts for model evaluation & RL training. Top candidates will have deep experience in large-scale ML systems, high-performance training, and edge deployment, though evidence of exceptional ability matters more than relevance alone.

The Role

  • Design & implement scalable distributed training infrastructure for large agentic models, supporting imitation learning, reinforcement learning (online & offline), and long-horizon training workflows
  • Build high-fidelity, ultra-realistic training & simulation environments capable of handling complex, interruptible, long-context agent trajectories at massive scale
  • Optimize ML and RL training pipelines for throughput, cost-efficiency, and reliability across multi-node GPU clusters
  • Implement advanced model serving, quantization, distillation, and deployment strategies tailored for Tesla’s hardware platforms
  • Collaborate with research, AI engineering, and production teams to productionize agent systems and integrate them with Tesla’s autonomy (FSD) and robotics (Optimus) platforms
  • Design systems for efficient context management, checkpointing, and orchestration of long-horizon agentic workloads
  • Continuously improve developer velocity through better tooling, CI/CD for ML, experiment tracking, and reproducible training environments

Requirements

  • Experience in ML infrastructure, large-scale distributed systems, or high-performance computing for deep learning/reinforcement learning
Anthony Antonucci

Qualifications

Relevant experience in Tesla AI; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No