Why this role stands out
This role offers an exciting opportunity to contribute to the future of AI-powered robotics and the autonomous supply chain, with significant growth potential within a well-funded, innovative company. You'll thrive here if you're a mid-senior engineer eager to develop cutting-edge solutions alongside a world-class team. Apply now to make a real impact in this rapidly evolving field.
Quick overview
Job description
The Role
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 complex multi-robot planning and coordination capabilities, and build algorithm optimization that enables system robustness, reliability, and 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.
Key Responsibilities
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 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.
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.
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.
Preferred Qualifications
- 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.
Additional Information
Compensation
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