Machine Learning Engineer, Network Deployment & Inference, Optimus

5 Days Old

Machine Learning Engineer, Network Deployment & Inference, Optimus Join to apply for the Machine Learning Engineer, Network Deployment & Inference, Optimus role at Tesla Machine Learning Engineer, Network Deployment & Inference, Optimus Join to apply for the Machine Learning Engineer, Network Deployment & Inference, Optimus role at Tesla Get AI-powered advice on this job and more exclusive features. What To Expect 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.
What You'll Do
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)
What You'll Bring
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
Benefits Compensation and Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program
Expected Compensation
$140,000 - $420,000/annual salary + cash and stock awards + 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.
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Location:
Palo Alto, CA, United States
Salary:
$250,000 +
Job Type:
FullTime
Category:
Engineering

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