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Nimble Robotics

Software Engineer, Robotics Fleet Optimization

San Francisco, CA; SFHQUnited States
Engineering
POSTED 18 FEBVERIFIED 1D AGO
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Pay · H-1B filings
$158k
median · n=6 · FY26
Open for
260d
since 18 Feb
H-1B · FY26
13
1 PERM
Hiring · 30d
37
0 net · open roles

About Nimble

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.

Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.

Vision: invent the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by industry-generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce.

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).

Join us and leave your mark on the future of robotics, AI, and global commerce.

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

Why Join Nimble?

At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.

Nimble's Core Values

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.

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

Source · Nimble RoboticsFirst seen 2 NovOriginal ↗