Senior Robotics Engineer - Motion Control & AI Integration

Prime Robotics•Denver, CO

60d

About The Position

Prime Robotics is pioneering the future of warehouse automation. Our robots handle pallet retrieval, case picking, each picking, and rack automation across active, high-throughput warehouse environments. We are entering the next decade of innovation—transforming our systems from traditional automation to AI-driven intelligence powered by NVIDIA technologies, advanced perception, and dynamic control systems. Our mission: to redefine intelligent warehouse robotics through software innovation and scalable AI integration. Prime Robotics isn't satisfied with "good enough" motion control, we're building the smoothest, most intelligent AMRs in the industry. We need someone who can: Perfect our motion control systems to set new industry benchmarks for smoothness and reliability Architect seamless integration across our software, ROS2, and embedded systems for maximum performance Push the boundaries of motion intelligence using AI-driven profile generation and self-tuning Elevate our robots from functional to exceptional—because in warehouse automation, motion quality is competitive advantage Own the technical vision for how our robots move, adapt, and perform We are seeking a Senior Robotics Engineer to drive our motion control systems to industry-leading performance and architect the next generation of intelligent, adaptive robotic behavior. This position reports directly to the Engineering Manager and will play a pivotal role in shaping the future of our robotics platform.

Requirements

8+ years in robotics, autonomous systems, or motion control engineering
Proven track record optimizing motion control systems to achieve exceptional performance
Deep expertise in motion profiling, trajectory generation, and velocity/acceleration optimization
Experience working across software, ROS/ROS2, and embedded systems to achieve seamless integration
Strong knowledge of real-time control, advanced tuning methodologies, and control theory
Ability to systematically diagnose and optimize complex multi-layer robotic systems
Expert in C++ (17/20) and Python, with emphasis on performance-critical systems
Deep experience with ROS2 in production environments
Strong understanding of SLAM, navigation frameworks, and sensor fusion
Proficiency with Linux, Docker, and distributed systems
Experience with NVIDIA Jetson, Isaac SDK, or Isaac Sim (or ability to rapidly master these tools)
Experience applying AI/ML to motion optimization (beyond perception)
Familiarity with reinforcement learning, imitation learning, or optimization for robotics
Passion for self-tuning and adaptive control systems
Track record of taking robotics systems from good to exceptional
Experience deploying production-ready robotics systems in demanding real-world environments
Drive to continuously push performance boundaries and raise technical standards
Thinks like an architect and codes like a craftsman.
Isn’t afraid to tear down and rebuild a system for the right reasons.
Balances theoretical depth with real-world pragmatism.
Has an instinct for AI-driven autonomy and believes robots should learn, adapt, and evolve.
Thrives in a fast-moving, high-ownership environment where innovation is expected, not requested.

Nice To Haves

Prior work with AMRs, warehouse automation, or logistics robotics highly desired
Experience with motor controllers and embedded motion systems
Hands-on hardware experience: arms, grippers, mobility bases
Familiarity with gRPC, Protobuf, or distributed messaging
Knowledge of NVIDIA Omniverse, CUDA, or GPU acceleration
Full-stack software engineering expertise beyond robotics

Responsibilities

Engineer a robot software stack for efficiency, scalability, and modularity — from motion control to high-level task orchestration.
Integrate NVIDIA Jetson and Isaac toolkits, including perception, mapping, and simulation frameworks.
Build AI-enhanced perception pipelines using real-time object recognition, semantic mapping, and reinforcement learning.
Lead efforts to bring edge intelligence to robots — on-device decision-making, predictive maintenance, and adaptive task planning.
Develop and optimize algorithms for navigation, SLAM, manipulation, and multi-robot coordination.
Improve and optimize ROS2-driven motion for our robotics software stack.
Collaborate with system architects and embedded engineers to ensure robust communication between robot, cloud, and warehouse systems.
Establish testing and simulation frameworks using Isaac Sim, ROS2, and NVIDIA Omniverse.
Drive long-term vision: autonomous, self-adapting warehouse robots that continuously improve through data and feedback loops.

Benefits

Be at the forefront of AI-driven robotics innovation.
Direct access to leadership and cross-disciplinary teams.
Opportunity to own the architecture that powers the next generation of warehouse automation.

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