Staff Software Engineer, Multi-Agent Systems

Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We’re developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world-class team.

Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles) and Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab).

Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx 

Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance

Be relentlessly resourceful - Challenge conventions and overcome obstacles.

Be legendary - Be the very best and do work that inspires.

Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.

Be dependable - Take ownership and deliver with high agency.

As a Staff 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.

If you enjoy building elegant, reliable systems that orchestrate dozens or hundreds of robots simultaneously, this role is for you.

- Architect Scalable Robotics Software

- 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.

- Develop Multi-Agent Robot Capabilities

- 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.

- Analytical System Approach

- 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.

- Technical Ownership

- 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.

- Bachelor’s degree or higher in Computer Science, Robotics, Mathematics, or related field.

- Strong software engineering background with 8+ 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.

- Experience with multi-robot task planning, routing, or simulation systems.

- Knowledge of warehouse automation, logistics software, or large-scale distributed systems.

- Experience working with Rust.

- Familiarity with cloud infrastructure, backend services, or event-driven architectures.