Build and maintain data pipelines and core robotics software to support teleoperation, training, deployment, and simulation. Write high-performance systems code (C/C++/Rust), prepare datasets for ML training, improve simulation workflows, and collaborate cross-functionally to increase reliability, performance, and automation of deployed robots.
Company Description
Role Description
What You’ll Do
Qualifications
Bonus Points
Why Join Us
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.
This is a high-impact, high-ownership role for a builder who wants to improve the software foundation behind our robots. You will work directly with the founding team to strengthen the systems that power teleoperation, data collection, training, deployment, and internal infrastructure. We are looking for someone who values 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. Strong systems roles in robotics and simulation are common across the space, and companies building teleoperation, simulation, and data infrastructure emphasize production-ready code, low-latency systems, and cross-functional collaboration.
- Build Data Infrastructure: Design and maintain the pipelines that collect, store, organize, and version robot data from teleop, sensors, and deployments.
- Support AI Training: Help turn raw robot data into clean, usable datasets for model training and evaluation.
- Strengthen Core Robotics Software: Contribute to the software infrastructure that underpins robot behavior, debugging, testing, and deployment.
- Ship Efficient Code: Write high-performance C, C++, or Rust code for systems where latency, reliability, and efficiency matter.
- Work Across the Stack: Collaborate with robotics, ML, and hardware engineers to make the full development loop faster and more reliable.
- Improve Simulation Workflows: Help connect simulation environments to real robot workflows for testing, iteration, and validation.
- Education: BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- Experience: 3+ years building software for robotics, embedded systems, simulation, or other performance-critical environments.
- Systems Programming: Expert-level programming in C, C++, or Rust, with strong Python skills.
- Robotics Exposure: Experience with robots, teleoperation, or robotics middleware is strongly preferred.
- Simulation Experience: Familiarity with at least one simulation environment such as MuJoCo, Isaac Sim, Gazebo, or similar.
- Engineering Excellence: Strong debugging, profiling, and software design skills, with a track record of shipping reliable systems.
- Startup Mindset: Comfortable working in a fast-moving environment where priorities evolve and ownership is high.
- Experience with ROS or ROS2.
- Familiarity with data pipelines, storage systems, or experiment tracking.
- Experience with real-time systems, networking, or distributed systems.
- Exposure to ML training workflows, dataset management, or robot learning.
- Open source contributions or a portfolio of systems-level work.
- 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. We are already shipping robots in production.
- Culture: A collaborative, high-velocity supportive environment conducive to both personal and professional growth.
Similar Jobs
Artificial Intelligence • Robotics • Automation • Manufacturing
Build and maintain data pipelines and core robotics software for perception, spatial reasoning, teleoperation, simulation, and deployment. Support ML training datasets, write high-performance systems code (C/C++/Rust), improve simulation workflows, and collaborate across robotics, ML, and hardware teams to deliver reliable, production-ready autonomous systems.
Top Skills:
CC++GazeboIsaac SimMujocoPythonRosRos2Rust
Angel or VC Firm • Financial Services
Design and build machine-learning-driven robotic systems that operate in the real world, support portfolio company growth, influence product and technical direction, and advance company and career outcomes.
Gaming
Lead UX/UI design for mobile games: create flows, wireframes, Figma prototypes, design systems, visual assets, and Unity implementations. Conduct research and testing, collaborate with art and engineering, mentor UX staff, and own UX across multiple feature pods to deliver engaging, usable game experiences.
Top Skills:
Adobe Creative SuiteFigmaUnity
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
