Tesla

Makes electric cars, robotaxis and grid batteries

SI Engineer - Whole Body Controls, Optimus

Applied Machine LearningConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

Proficiency in Python, NumPy, and PyTorch.
Knowledge of deep learning fundamentals, including architectures, optimization, training dynamics, and representation learning.
Proficiency with modern network architectures, such as transformers and sequence models, and the ability to design and adapt them.
Experience training neural networks in PyTorch, including large-scale or distributed training.
Experience building robust data pipelines and data engines for large-scale model training.
Projects, research, or coursework may provide equivalent experience.

Responsibilities

Design and iterate on network architectures for whole-body motion policies, world models, and learned dynamics models.
Build, tune, and scale training recipes, including losses, curricula, optimization, and pre-training-to-reinforcement-learning pipelines.
Build robust data pipelines and data engines that feed model training at scale.
Create evaluation benchmarks that enable fast, iterative model improvement.
Improve the robustness of learned policies and deploy them on Optimus.

Desired Qualifications

Experience designing novel architectures or training recipes that shipped to production.
Experience with world models, imitation learning, or reinforcement learning.
Exposure to robotics, control, or multimodal sensing.

Category	Tesla SI
Location	Palo Alto, California
Requisition ID	275999
Type	Full-time

Job Description

<div class="MSWordContent"><p>Tesla SI is solving robust embodied intelligence through humanoid robots. On the Whole Body Controls team, you will build the models behind whole-body motion — the policies that let Optimus walk, balance, recover from disturbances, and manipulate objects — including control of the hands — on real hardware. Similar to the end-to-end models behind Full Self-Driving, we strive for simple, scalable algorithms; as an SI Engineer you will own the modeling side of that effort, designing network architectures, building and tuning training recipes, and shaping the data and representations that turn raw sensor streams into robust motion, working across the full training stack from pre-training to reinforcement learning. 

This role is for engineers with deep learning fundamentals; robotics domain knowledge is a bonus. We hire at all levels, including recent graduates with strong deep learning fundamentals and a demonstrated project or research record.</div>

Job Responsibilities

Design and iterate on network architectures for whole-body motion policies, world models, and learned dynamics models
Build, tune, and scale training recipes — losses, curricula, optimization, and pre-training-to-reinforcement-learning pipelines
Build robust data pipelines and data engines that feed model training at scale
Create evaluation benchmarks that enable fast, iterative model improvement
Improve the robustness of learned policies, and deploy them on Optimus

Job Requirements

Proficiency in Python (numpy, pytorch)
Deep learning fundamentals: architectures, optimization, training dynamics, and representation learning
Proficiency with modern network architectures (such as transformers and sequence models), and a strong grasp of how to design and adapt them
Experience training neural networks in PyTorch, including large-scale or distributed training
Experience building robust data pipelines and data engines for large-scale model training
Preferred: designing novel architectures or training recipes that shipped to production; world models, imitation learning, or reinforcement learning; any robotics, control, or multimodal-sensing exposure
Equivalent experience through projects, research, or coursework is acceptable

Tesla

SI Engineer - Whole Body Controls, Optimus

About the Job

Requirements

Responsibilities

Desired Qualifications

Job Description

Job Responsibilities

Job Requirements

About the Company

Tesla

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