Senior Robotics Manipulation Engineer: Data-Driven AI & Learning

Dexterity; Redwood City (CA); Presencial; USD 150 000 - 210 000; Tempo integral

Resumo da oferta

Dexterity is seeking a Senior Robotics Manipulation Engineer in Redwood City, CA to advance multi-sensor robotic systems through data-driven control and learning-based methods.

You will design, train and deploy learned policies for manipulation, force control and motion planning, collaborating across ML, robotics, and product teams to deliver scalable software and robust robotic solutions.

Qualificações

• Experience in robotics or physical AI including manipulation, control and learning.
• Strong software engineering practices for maintainable, testable code.
• Experience with reinforcement learning, imitation learning and modern ML methods.

Responsabilidades

• Develop data-driven robot control systems and learned models for manipulation and force control.
• Conduct sensor fusion and state estimation to leverage multimodal data.
• Collaborate with ML engineers, hardware and product teams to deliver robust solutions.
• Build and maintain high-quality, scalable software for robotic platforms.
• Train, evaluate and improve models using large-scale data from real robots.
• Lead initiatives to improve model performance and rigor across the stack.

Conhecimentos

Python programming

C++

Linux

Reinforcement learning

Task & Motion Planning

Distributed ML training

Git & CI pipelines

Docker & Kubernetes

Formação académica

BS/MS/PhD in CS or related

Ferramentas

Ray

Linux

Docker

Kubernetes

Git

Descrição da oferta de emprego

Dexterity is seeking a Senior Robotics Manipulation Engineer in Redwood City, CA to advance multi-sensor robotic systems through data-driven control and learning-based methods.

You will design, train and deploy learned policies for manipulation, force control and motion planning, collaborating across ML, robotics, and product teams to deliver scalable software and robust robotic solutions.