Software Engineer, Machine Learning Integration, Optimus

Tesla is building robust, real-world AI through humanoid robots. As a Software Engineer within our robotics teams, you will contribute to one of the most advanced Robotics/AI Platforms in the world. You'll be responsible for integrating machine learning models with real-time systems, working across the software stack to ensure seamless communication between neural networks and hardware components.

This role is ideal for engineers with strong systems-level & networking expertise, and a solid grasp of machine learning principles-especially those excited by the challenge of deploying AI into the real world. Your work can cover everything from tuning the robot's whole-body control stack to building the infrastructure that will scale the entire robot fleet. You will help implement innovative features that leverage the power of Tesla AI. You will define and maintain content and configurations that support smooth functionality across variations of the robot platform.

Responsibilities

• Design and implement efficient, robust C++ systems for real-time ML inference and control and for the humanoid robot software stack

• Integrate ML models into embedded or robotic systems with tight latency and performance constraints

• Write Python scripts/tools for training, evaluation, and deployment pipelines

• Collaborate with machine learning researchers to bring models from prototype to production

• Optimize runtime performance of neural networks on various compute environments (e.g., GPU, CPU, edge accelerators)

• Work with sensors and actuators

• Develop messaging frameworks (e.g., ROS, ZeroMQ, gRPC)

Requirements

• Practical experience programming in C/C++ software, including modern C/C++ (C++14/17/20), multithreading, and Python

• Solid understanding of machine learning fundamentals (e.g., supervised learning, neural networks, model evaluation)

• Experience with model inference, deployment, and optimization

• Experience with embedded systems software design concepts

• Experience with communication standards such as CAN, ethercat and ethernet

• Proficient developing software on a Linux host, for embedded Linux targets (cross-compilation, etc.) is a plus

• Excellent problem solving, critical thinking, and communication skills

Compensation and Benefits
Benefits

As a part-time Tesla employee, you will be eligible for:

• 401(k) with employer match
• Employee Assistance Program
• Sick and Vacation time
• Tesla Babies program
• Back-up childcare and parenting support resources
• Pet Insurance
Expected Compensation

$140,000 - $420,000/annual salary + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.