Software Engineer, Robotics Fleet Optimization

- 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 and multi-agent path planning, as well as multi-robot and external system 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.

Qualifications

- 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++)

- 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.