Software Engineer, Robotics Systems

Company Description Autonomique is at the forefront of innovation in Physical AI, addressing key challenges in autonomy such as perception, spatial 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 improve the software foundation behind our robots. You will work directly with the founding team to strengthen the systems that power perception, spatial reasoning, teleoperation, training, deployment, and internal infrastructure. This role involves contributing to systems that enable robots to interpret and reason about their environment. 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, but we place particular emphasis on building reliable, production-ready systems that integrate perception, learning, and real-world deployment. What You’ll Do 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. Contribute to Perception and Reasoning Systems: Help build systems that enable robots to interpret their environment and structure information for downstream decision making. 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. Qualifications 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. Machine Learning: Experience training, fine-tuning, or evaluating models in computer vision, language, or multimodal domains. Comfortable working with datasets, model iteration, and evaluation workflows. 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. Bonus Points Experience with ROS or ROS2. Familiarity with data pipelines, storage systems, or experiment tracking. Familiarity with modern computer vision approaches. 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. 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. We are already shipping robots in production. Culture: A collaborative, high-velocity supportive environment conducive to both personal and professional growth.