Full-Time

Senior Robotics Software Engineer

System Identification & Modeling

Nimble Robotics

Nimble Robotics

201-500 employees

AI-powered robotic fulfillment for eCommerce logistics

Compensation Overview

$190k - $250k/yr

+ Equity

San Francisco, CA, USA

In Person

Bachelor's, Master's, PhD

Category
Mechanical Engineering (1)
Software Engineering (1)
Required Skills
Rust
Python
Neural Networks
Data Engineering
C/C++
Robotics
Data Analysis

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Requirements
  • A Bachelor's, Master's, or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field is required.
  • At least 5 years of software engineering experience building production robotics systems is required.
  • A strong foundation in dynamics, controls, and system identification, including least-squares regression, parameter estimation, state-space and transfer-function modeling, and feedforward/feedback controller design, is required.
  • Hands-on experience characterizing real electromechanical systems such as motors, gearboxes, linear actuators, or articulated arms is required.
  • Strong proficiency in at least one of Rust, Python, or C++ is required.
  • The candidate must be able to design, implement, and maintain complex, high-reliability software systems.
  • Experience integrating software with sensors, actuators, and embedded systems is required.
  • Familiarity with software best practices, including testing, documentation, code reviews, and robust architectural design, is required.
  • The candidate must be able to communicate effectively and collaborate across multidisciplinary teams.
  • The candidate must be willing to support production operations through an on-call rotation.
Responsibilities
  • Design and execute system identification experiments for actuators, mechanisms, and full robot subsystems, fitting dynamic models through regression and curve-fitting to derive accurate feedforward and feedback controllers.
  • Own kinematic calibration workflows, including Denavit–Hartenberg parameter identification, wheel radius estimation, and tool-center-point calibration, to improve arm accuracy and mobile base odometry.
  • Build automated calibration and system-identification tooling that runs on production hardware and enables rapid re-characterization after mechanical changes, wear, or new platform deployments.
  • Lead the design and implementation of robot behaviors and task-level intelligence across the full stack, integrating perception, planning, and control into reliable end-to-end execution across nominal and edge-case scenarios.
  • Drive measurable improvements in autonomy quality and arm accuracy using data, operational metrics, and model validation, including diagnostic plots, residual analysis, and statistical benchmarks.
  • Collaborate with hardware engineering on software–hardware integration for new platforms and upgrades, and triage and resolve production robotics issues.
  • Lead technical design reviews, drive architecture decisions for core subsystems, and mentor engineers and technicians on reliability, testing, and operational excellence.
Desired Qualifications
  • Graduate-level coursework or research in system identification, optimal estimation, or adaptive control.
  • Experience with nonlinear system identification techniques, such as extended Kalman filters, particle filters, or neural-network-based model learning.
  • Familiarity with physics simulators such as MuJoCo, Drake, or Isaac Sim and sim-to-real transfer, including using identified parameters to calibrate simulation environments.
  • Experience with real-time embedded system development, real-time operating systems, or bare-metal firmware.
  • Exposure to automation environments such as warehousing, manufacturing, or logistics.
  • Experience with safety-critical systems.
  • Familiarity with Robot Operating System, Robot Operating System 2, and standard robotics middleware.
  • Experience building data pipelines for collecting, storing, and analyzing robot telemetry at scale.

Nimble Robotics uses AI to optimize eCommerce logistics, coordinating fulfillment, inventory planning, and delivery speed with robotic systems that handle bin-sized items; larger items are handled manually. It offers a pay-as-you-go model with no upfront capital, plus pilot programs and plug-and-play integrations with Shopify, Netsuite, and Skubana. Its edge comes from combining AI-driven optimization, robotic fulfillment, flexible pilots, and seamless platform integrations to speed deliveries and improve order accuracy and customer satisfaction. The goal is to help eCommerce brands—from startups to Fortune 500s—scale fulfillment efficiently without upfront investment while achieving faster deliveries.

Company Size

201-500

Company Stage

Series C

Total Funding

$221M

Headquarters

San Francisco, California

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • Nimble’s August 7, 2026 website claims over 90 million daily searches across enterprise products.
  • The New Jersey fulfillment center launched in 2024 expands East Coast capacity for 2026 customers.
  • A $106 million Series C at $1 billion valuation funds robot manufacturing and deployments.

What critics are saying

  • Q2 2026 produced no verified new customer, funding, or operational expansion announcement.
  • Nimble’s January 26, 2026 trademark appeal suggests brand-defense work, not market momentum.
  • If autonomous nodes miss scale targets, FedEx can shift volume to Berkshire Grey.

What makes Nimble Robotics unique

  • August 7, 2026 site data shows Nimble runs autonomous fulfillment, not robot sales.
  • Nimble’s general-purpose warehouse superhumanoid handles storage, picking, packing, sorting, and kitting.
  • FedEx backed Nimble in September 2024 and now scales FedEx Fulfillment with it.

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Benefits

Paid Time Off

Health Insurance

Paid Parental Leave

Commuter Benefits

Referral Bonus

401(k) Retirement Plan

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

17%

1 year growth

17%

2 year growth

18%
Yahoo Finance
Aug 3rd, 2026
Nimble unveils web search agents for AI at AI4 2026 with F1 simulator and Grand Prix giveaway

Nimble will showcase its Web Search Agents at AI4 2026 in Las Vegas from 4-6 August at The Venetian Convention and Expo Center. The company's booth will feature live demonstrations of its agentic search product, which autonomously learns users' domains to execute complex web research tasks. The platform specialises in self-learning for specific use cases, aiming to improve accuracy and reduce token costs compared to generalist web search tools. Nimble is available via API, SDK and MCP, enabling AI builders to access live web intelligence. The company currently powers over 90 million searches daily for Fortune 500 enterprises and AI-native companies. Booth activities will include product demos, a Formula 1 racing simulator, and a giveaway for a VIP weekend package to the Las Vegas Formula 1 Grand Prix in November.

CNBC
Feb 24th, 2026
Nimble CEO: Enterprise AI agents need live web search to scale, raises $47M Series B

Nimble, a company building search infrastructure for enterprise AI agents, has raised $47 million in Series B funding. CEO Uri Knorovich says enterprise AI agents will only scale if they can reliably search and verify the live web. The company is developing infrastructure that enables Fortune 500 companies to deploy AI agents that monitor real-time pricing, regulations and market data. Nimble positions itself as the search infrastructure layer necessary for businesses to trust AI agents in production environments.

Robotics & Automation News
Apr 25th, 2025
FedEx invests in robotic fulfillment company Nimble

FedEx, one of the world’s largest logistics companies, has agreed a strategic alliance and investment with Nimble, an AI robotics and autonomous e-commerce fulfillment technology company. The agree…

WTWH Media LLC
Jan 6th, 2025
Eight Knot secures $3.8M in funding

In October 2024, robotics investments reached $7.4 billion across 77 funding rounds, led by Waymo's $5.6 billion raise, marking the largest single round of the year. The total investment from January to October 2024 exceeded $20 billion. Autonomous driving tech companies dominated, with significant investments in Waymo, WeRide ($320 million), and Didi Woya ($298 million). The U.S. and China led in investment rounds, with the U.S. securing $6.4 billion and China $873 million.

Business Wire
Oct 24th, 2024
Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx

Nimble, a pioneering AI robotics and autonomous e-commerce fulfillment technology company, today announced the successful closure of a $106 million Se