Posted 6 months ago
Robotics/Physical AI Manipulation Engineer
@ Autonomique
Montréal, Quebec
Overview
Autonomique is hiring a Robotics/Physical AI Manipulation Engineer for a full-time, high-ownership role shaping the technical roadmap of its bimanual robots. The work covers manipulation algorithms, learning-based robot policies and end-to-end autonomy stacks, deployed on real industrial systems. The posting emphasizes meaningful equity participation.
Responsibilities:
- Design and implement bimanual manipulation algorithms for pick/place, insertion and tool use
- Train robot policies with diffusion policy, imitation learning and reinforcement learning
- Contribute to end-to-end autonomy stacks linking perception, task understanding and control
- Write, review and maintain mission-critical Python and C++ code
Requirements summary:
- PhD or MS in robotics, CS or related field with publications at CVPR, ICCV, ECCV, ICRA or CoRL
- 3+ years shipping code for physical robots
- Deep expertise in manipulation planning, imitation learning or reinforcement learning
- Production-level Python and C++ proficiency
- Familiarity with sim-to-real transfer and Isaac Lab or MuJoCo
Tools & skills
Benefits mentioned
Source and dates
Source type not verified · gem
- Employer posting date
- 2026-05-17
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 3+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Robotics, Computer Science |
| Perks mentioned | Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Autonomique
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
- People associated on LinkedIn
- 11
- Other recorded names
- Autonomique
| Field | Value |
|---|---|
| Industry | Research Services |
| Headquarters | Menlo Park , California |
| Open jobs on Jobsy | 2 |
| View page |
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 meaningful 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 meaningful 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.
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