Senior Robotics/Physical AI Manipulation Engineer

Autonomique; Menlo Park (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity package

Job summary

Autonomique is seeking a high‑impact builder to shape our technical roadmap alongside the leadership team. You will work directly with the founding team to architect the core systems that define our robot's capabilities.

We are looking for someone who values significant equity participation and wants to capture the upside of the value they create. You won't just be an employee; you will be a key architect of our success.

Qualifications

• PhD or MS in Robotics, CS, or related field with publications at major venues.
• 3+ years of hands‑on experience shipping code for physical robots.
• Deep expertise in manipulation planning, imitation learning, and RL.
• Production‑level Python and C++ with robust, maintainable systems.
• Familiarity with sim‑to‑real transfer and high‑fidelity simulators like MuJoCo.

Responsibilities

• Deploy robust manipulation algorithms for bimanual tasks in dynamic environments.
• Develop learning‑based behaviors to improve performance and recovery.
• Drive full‑stack autonomy linking perception to low‑level control.
• Ship and scale Python and C++ code for a growing robotics fleet.

Skills

Python

C++

Robotics

Diffusion Policy

Imitation Learning

Reinforcement Learning

Manipulation Planning

Education

PhD or MS in Robotics, CS

Tools

MuJoCo

Isaac Lab

Job description

Company Description

Autonomique is at the forefront of innovation in Physical AI, addressing key challenges in autonomy such as perception, reasoning, and dexterity. Our robotics intelligence framework delivers reliable, autonomous solutions for industries with complex operational demands. With advanced bi‑manual robots, we are enabling groundbreaking advancements in manufacturing by empowering robots to perform critical real‑world tasks. We are driven by the mission to make autonomous systems practical and impactful today.

Role Description

This is a high‑impact, high‑ownership role for a builder who wants to shape our technical roadmap alongside the leadership team. You will work directly with the founding team to architect the core systems that define our robot's capabilities. We are looking for someone who values significant equity participation and wants to capture the upside of the value they create. You won't just be an employee; you will be a key architect of our success.

What You’ll Do

• Deploy Robust Manipulation Algorithms: Design and implement algorithms for complex bimanual tasks — pick/place, insertion, tool use — that perform reliably in dynamic industrial environments, not just in the lab.
• Develop Learning‑Based Behaviors: Train robot policies using Diffusion Policy, imitation learning, and reinforcement learning to improve performance, robustness, and failure recovery.
• Drive Full‑Stack Autonomy: Contribute to end‑to‑end systems that connect perception, semantic task understanding, and low‑level robot control into a unified, reliable autonomy stack.
• Ship & Scale: Write, review, and maintain mission‑critical Python and C++ code, continuously profiling and improving our stack for performance and reliability across our growing fleet.

Qualifications

• Education: PhD or MS in Robotics, CS, or related field with a track record of publications at CVPR, ICCV, ECCV, ICRA, or CoRL.
• Experience: 3+ years of hands‑on experience shipping code for physical robots.
• Technical Expertise: Deep expertise in manipulation planning, imitation learning, and/or reinforcement learning.
• Engineering Excellence: Production‑level proficiency in Python and C++ with a track record of building robust, maintainable systems.
• Familiarity with sim‑to‑real transfer and high‑fidelity simulators (Isaac Lab, MuJoCo).

Why Join Us

• Ownership: We offer a substantial equity package designed for those who believe in our mission and want to be rewarded for the company's long‑term success.
• Impact: Work directly on real‑world projects and see your code deployed in the real world immediately.
• Culture: A collaborative, high‑velocity supportive environment conducive to both personal and professional growth.