Nimble Robotics
Senior Robotics SWE, System Identification & Modeling
San Francisco, CA · Senior
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About the role
- We are looking for a Senior Robotics Software Engineer specializing in System Identification and Modeling to build the core software powering our next-generation autonomous robots. In this role, you will develop and maintain the mathematical models, parameter estimation pipelines, and feedforward/feedback control systems that allow our robots to operate with exceptional reliability, precision, and efficiency in real production environments.
- You will work across the full robotics and autonomy stack - building robust, production-grade software that scales as we deploy more robots into high-throughput operations - while serving as the team's deep expert in system identification, dynamics modeling, and model-based control. You'll collaborate closely with AI, hardware, controls, and infrastructure teams to integrate frontier AI capabilities with rigorous physics-based models, continually improving robot uptime, performance, and overall intelligence.
- We are looking for a Senior Robotics Software Engineer specializing in System Identification and Modeling to build the core software powering our next-generation autonomous robots.
Responsibilities
- Design and execute system identification experiments for actuators, mechanisms, and full robot subsystems - motors, arms, elevators, drivetrains - fitting dynamic models via regression and curve-fitting to derive accurate feedforward and feedback controllers.
- Own kinematic calibration workflows: DH parameter identification, wheel radius estimation, and tool-center-point calibration to drive measurable improvements in arm accuracy and mobile base odometry.
- Build automated calibration and sys-id tooling that runs on production hardware, enabling rapid re-characterization after mechanical changes, wear, or new platform deployments.
- Lead 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 (diagnostic plots, residual analysis, statistical benchmarks).
- Collaborate with hardware engineering on software-hardware integration for new platforms and upgrades
- Lead technical design reviews, drive architecture decisions for core subsystems, and mentor engineers and technicians on reliability, testing, and operational excellence.
- Collaborate with hardware engineering on software-hardware integration for new platforms and upgrades; triage and resolve production robotics issues.
- Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce.
Requirements
- Bachelor's, Master's, or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
- Hands-on experience characterizing real electromechanical systems: motors, gearboxes, linear actuators, articulated arms, or similar mechanisms.
- Strong proficiency in at least one of the following: Rust, Python, C++.
- Experience integrating software with sensors, actuators, and embedded systems.
- 5+ years of software engineering experience building production robotics systems.
- 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.
- Proven ability to design, implement, and maintain complex, high-reliability software systems.
- Familiarity with software best practices including testing, documentation, code reviews, and robust architectural design.
- Excellent communication skills and ability to collaborate across multi-disciplinary teams.
- Willingness to support production operations through an on-call rotation.
Nice to have
- Graduate-level coursework or research in system identification, optimal estimation, or adaptive control.
- Familiarity with physics simulators (MuJoCo, Drake, Isaac Sim) and sim-to-real transfer, including using identified parameters to calibrate simulation environments.
- Experience with real-time embedded system development, RTOS, or bare-metal firmware.
- Exposure to automation environments such as warehousing, manufacturing, or logistics.
- Experience with safety-critical systems.
- Familiarity with ROS/ROS 2 and standard robotics middleware.
- Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience.
- We embrace challenges and strive to make the impossible possible each day.
Compensation
- The pay range for this position at the start of employment is expected to be between $190,000 and $250,000/year.
- In addition to cash compensation, this position will also receive generous equity for this position.
Benefits
- We want to create something legendary and leave our mark on the world.
- Nimble's Benefits
- Unlimited Flexible Time Off
- Health Insurance
- Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
- Paid Parental Leave
- Commuter Benefits
Company info
- We are a hardcore and obsessed team of the world's best engineers and operators.
- 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.
Equal opportunity
- Nimble Robotics, Inc. is an equal opportunity employer.
This listing is sourced directly from Nimble Robotics's careers page and normalized into a canonical job model.