Software Engineer, Nimble Robotics

• If you enjoy building elegant, reliable systems that orchestrate dozens or hundreds of robots simultaneously, this role is for you
• Bachelor’s degree or higher in Computer Science, Robotics, Mathematics, or related field
• Strong software engineering background with 2-4 years of experience building production systems
• Proficiency with at least one systems programming language (Rust preferred; C++, Go also relevant)
• Strong understanding of algorithms, data structures, and performance optimization
• Ability to design and implement complex systems with high reliability and clarity
• Demonstrated ability to work across a large codebase and collaborate with cross-functional engineering teams

Desirable

• As a Software Engineer on the Multi-Agent Systems team, you will design the algorithms and software that coordinate large fleets of robots operating in high-throughput, real-world warehouse environments. Your work will directly influence robot efficiency, safety, and the overall capacity and scalability of our intelligent fulfillment systems
• You will architect high-performance distributed robotics software, develop multi-robot planning and coordination capabilities, and build simulation tools that allow us to test, optimize, and validate behaviors at scale. This role blends advanced algorithm design with real-world production engineering — solving complex systems problems with concrete impact on warehouse throughput and robot performance
• Design and implement high-performance, maintainable, and fault-tolerant robotics software
• Work independently across disciplines to diagnose issues, evaluate alternatives, and deliver robust technical solutions
• Contribute to the architecture and evolution of Nimble’s fleet management and multi-agent orchestration stack
• Build and improve algorithms for task planning, multi-agent path planning, and multi-robot coordination to maximize warehouse throughput
• Create features that drive increased automation across workflows like picking, packing, sorting, induction, and routing
• Design optimization algorithms that break down orders and workloads into robot tasks while minimizing congestion and idle time
• Analyze real production performance data to understand emergent system behavior, uncover bottlenecks, and verify the impact of new features
• Use quantitative insights to inform prioritization, algorithm design, and long-term system improvements
• Drive feature areas end-to-end: algorithm design, implementation, testing, deployment, and performance validation
• Own software infrastructure, continuous integration, production debugging, and on-call support for components you build
• Participate in technical design reviews, documentation, and cross-functional alignment with hardware, operations, and cloud engineering teams
• Help manage sprint planning, backlog prioritization, and feature launch coordination