Jobs at Autonomique Inc.

Design and implement robust bimanual manipulation algorithms and train learning-based robot policies (diffusion, imitation, RL). Build end-to-end autonomy connecting perception, semantic task understanding, and low-level control. Ship production-quality Python and C++ code, profile and scale the autonomy stack, and work with high-fidelity simulators for sim-to-real transfer.

Own the end-to-end sales cycle for autonomous industrial robotics: prospect, qualify, run demos and plant visits, manage pipeline, convert pilots to production, maintain CRM discipline, and refine messaging for North American manufacturers.

Architect and build production-grade perception and autonomy systems for deployed bi-manual robots: design CV pipelines (detection, 3D reconstruction, 6D pose), optimize models for embedded hardware, integrate perception with task reasoning and planning (including VLMs), write and maintain production Python/C++ code, and profile/scale software across a growing robot fleet.

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.

Own product direction for robotics and autonomy: capture deployment learnings, engage customers, prioritize roadmap, define KPIs (task success, intervention rate, uptime), and accelerate iteration between field data and engineering to scale pilots into production.

Architect and build production-grade perception and autonomy systems for bi-manual robots: design CV pipelines (detection, 3D reconstruction, 6D pose), optimize models for embedded hardware, create reasoning/planning layers, and maintain mission-critical robotics software to scale deployed fleets.

Lead product for robotics and autonomy by closing the deployment loop, owning customer relationships, driving and prioritizing the roadmap, defining KPIs for physical AI deployments, and accelerating iteration between field data and engineering.

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.

Design and implement robust bimanual manipulation algorithms and learning-based robot policies. Build end-to-end autonomy connecting perception, task understanding, and low-level control. Ship production-grade Python and C++ code, optimize system performance, and scale deployments across an industrial robot fleet.

Architect and implement robust bimanual manipulation algorithms and learning-based robot policies (diffusion, imitation, RL). Build end-to-end autonomy connecting perception to low-level control, write and maintain production Python/C++ code, and scale performance across a fleet in industrial environments.