Software Engineer, Robotics Fleet Optimization
Nimble Robotics
CA$140,000 / year
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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
Benefits
- health insurance
- vision insurance
- 401(k)
- stock options
- parental leave
About this role
Nimble Robotics is building autonomous warehouse systems powered by general-purpose robots, and this role sits at the heart of that mission. As a Software Engineer on the Multi-Agent Systems team, you'd design the algorithms and distributed software that coordinate large robot fleets in real-world, high-throughput warehouse environments. The work spans multi-robot path planning, task orchestration, and optimization—essentially solving how dozens or hundreds of robots operate safely and efficiently together. You'd own features end-to-end, from algorithm design through production deployment, and use real warehouse performance data to drive continuous improvement.
This position suits engineers with 2–4 years of production systems experience who are comfortable with systems-level thinking and want concrete impact. You'll need strong fundamentals in algorithms and data structures, proficiency in Rust or C++, and the ability to work across a large codebase with hardware and operations teams. Prior experience in multi-robot systems, warehouse logistics, or distributed systems is valuable but not required; what matters is the ability to architect reliable, scalable software and diagnose complex emergent behavior in production.
The role is full-time and in-office in San Francisco. Compensation is $140,000–$210,000 annually plus equity. Nimble's founding team includes AI researchers from Stanford and Carnegie Mellon, with board advisors like Marc Raibert and Sebastian Thrun, and the company recently closed a $106M Series C.
How this employer is doing
solid
- H1B: Sponsors Visas
- Recently Raised Funding
- Sponsors Visas
In the news
Nimble Robotics raises $65M in pursuit of fully autonomous fulfillment network, FreightWaves
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Pay for this role
$140,000 per year
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