Robotics Simulation ML Engineer

Zeromatter Technologies Inc; Mountain View (CA); On-site; USD 100,000 - 300,000; Full time

Job summary

Zeromatter Technologies Inc is seeking a Machine Learning Engineer to develop models and systems for autonomous robotics simulation. The role focuses on turning simulation into a realistic, scalable environment through model development, reinforcement learning, and close collaboration with software engineers and customers.

You will build ML models to improve simulated sensor realism, create diverse scenario content, design behavior models for pedestrians, vehicles and drones, and integrate ML

Qualifications

• Master's or PhD in CS/engineering or equivalent experience.
• Proficient in Python with PyTorch or TensorFlow.
• Experience in robotics or simulation ML.
• Familiarity with CI/CD and software practices.

Responsibilities

• Develop and implement ML models for realistic sensor data.
• Build content generation systems for diverse simulation scenarios.
• Create behavior models for pedestrians, vehicles and drones.
• Design and implement reinforcement learning for robotics in simulation.
• Optimize ML performance with low-latency inference and model compression.
• Partner with software engineers to integrate ML into the simulation platform.
• Work with customers to tailor ML solutions.

Skills

Python

PyTorch

TensorFlow

Reinforcement learning

Robotics

Education

Master's or PhD in a relevant field

Tools

C

C++

Rust

CUDA

Vulkan

Job description

Zeromatter Technologies Inc is seeking a Machine Learning Engineer to develop models and systems for autonomous robotics simulation. The role focuses on turning simulation into a realistic, scalable environment through model development, reinforcement learning, and close collaboration with software engineers and customers.

You will build ML models to improve simulated sensor realism, create diverse scenario content, design behavior models for pedestrians, vehicles and drones, and integrate ML