Senior Robotics Engineer
Prime Robotics
Senior Robotics Engineer
Prime Robotics
Provides warehouse automation and robotic picking.
Prime Robotics · Denver, United States · Full-time · Posted 2026-03-16
Workplace: on_site
Department: Robotics
At Prime Robotics, we’re building the future of warehouse automation through tightly integrated robotics, software, and intelligent infrastructure. Our systems support pallet retrieval, case picking, each picking, and rack automation in active, high-throughput warehouse environments. We are now advancing our platform toward the next generation of AI-driven robotics, combining autonomous systems, perception, simulation, and scalable software to create smarter, more adaptive warehouse operations.
Position
We are seeking a Senior Robotics Engineer to help architect and develop the next generation of Prime Robotics’ autonomous systems. This is a hands-on engineering role focused on building production-grade robotics software and integrating advanced robotics technologies that drive state of the art perception, navigation, and distributed systems. You will work across software, hardware, and field deployment challenges to deliver intelligent, scalable, and reliable robotic solutions for real-world warehouse environments.
Please note that this role is on-site and this individual will split their time between our lab in Downtown Denver and our Corporate HQ in Lakewood, CO.
What You’ll Do
Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and perception through orchestration and fleet behavior.
Build and optimize systems involving SLAM navigation, sensor fusion, path & motion planning, and multi-robot coordination.
Lead development in advancing our robotics capabilities to include AI and machine learning for safety and throughput optimizations
Troubleshoot complex field and lab issues across hardware/software boundaries, driving root cause analysis and long-term fixes.
Collaborate with cross-functional teams in the US and China to improve robotic system performance, reliability, and maintainability.
Support customer implementations, deployment readiness, and technical validation efforts that shape future product direction and sustain high value customer requirements.
Required Skills & Experience
8+ years of experience in robotics, autonomous systems, or related fields, with a proven track record of shipping real products.
Strong expertise in C++ and Python, with experience building performance-critical, production-quality systems.
Deep understanding of ROS/ROS2, real-time robotics systems, SLAM, navigation, path planning, and control.
Experience with perception systems, sensor integration, computer vision, and AI/ML-enabled robotics workflows.
Strong Linux and Docker experience, with familiarity in distributed systems, embedded systems, or edge compute environments.
Hands-on experience debugging and integrating robotic hardware, software, and field-deployed systems.
Bachelor’s degree in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or related field; advanced degree preferred.
Bonus Qualifications
Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics workloads.
Experience with Java/Spring Boot programming and development.
Background in warehouse automation, AMRs, material handling, or industrial robotics.
Experience with gRPC, Protobuf, or distributed messaging frameworks.
Familiarity with robot hardware such as mobility bases, arms, grippers, safety systems, and embedded electronics.
Experience working across international engineering teams and influencing technical direction without direct authority.
What We’re Looking For
A strong systems thinker who can balance architecture, performance, and practical execution.
A hands-on engineer who can move fluidly between design, coding, debugging, and deployment support.
Someone who values clean, scalable software but stays grounded in real robot behavior and operational constraints.
A problem solver who takes ownership, drives clarity, and pushes through ambiguity.
An engineer who is excited about advancing warehouse robotics with AI, autonomy, and robust software foundations.
The expected minimum base salary for this role is $150,000 annually, informed by external market data. Actual offers will depend on factors such as the candidate’s experience, education, training, key or critical skills, and current market and business conditions.
Our hiring process may incorporate AI-assisted tools to support activities such as application review, resume screening, and response evaluation. These tools are used to assist our recruitment team and do not make hiring decisions independently. All final decisions are made by a human reviewer. For questions about how your personal data is handled during this process, please don't hesitate to reach out to us.
Prime Robotics is proud to be an EEOE, M/F/D/V, and we are committed to diversity both in practice and spirit at the corporate level.
Prime Robotics participates in E-Verify. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm employment eligibility.
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Provides warehouse automation and robotic picking.
Prime Robotics provides end-to-end automation solutions for warehouses and e-commerce facilities. It offers a full suite of hardware, software, service, and support to optimize the entire distribution value chain. Its robotic picking systems are designed to handle picking tasks, speeding up operations and cutting reliance on manual labor and forklifts. The company serves small, mid-sized, and enterprise clients with customizable solutions that fit different budgets and needs. A key differentiator is its integrated approach (hardware, software, and services) paired with American-based support teams, which help ensure stable, efficient operations. The company's goal is to help warehouses run more productively and cost-effectively by significantly increasing throughput and reducing labor requirements.
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