Senior Robotics SWE, System Identification & Modeling

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.

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.

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; 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.

Qualifications

• Bachelor's, Master's, or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• 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.
• 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++.
• Proven ability to design, implement, and maintain complex, high-reliability software systems.
• Experience integrating software with sensors, actuators, and embedded 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.
• Experience with nonlinear system identification techniques (e.g., extended Kalman filters, particle filters, neural-network-based model learning).
• 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.
• Experience building data pipelines for collecting, storing, and analyzing robot telemetry at scale.

Compensation & Benefits

• The pay range for this position at the start of employment is expected to be between $190,000 and $250,000/year.
• Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience.
• In addition to cash compensation, this position will also receive generous equity for this position.

Culture

• We embrace challenges and strive to make the impossible possible each day.
• We're not in this to do what's easy or to be mediocre.
• We want to create something legendary and leave our mark on the world.
• We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals.
• If this sounds like you then you might be a great fit!

Nimble's Benefits

Unlimited Flexible Time Off

Enjoy the time you need to travel, rejuvenate, and connect with friends and family.

Health Insurance

Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.

Paid Parental Leave

Enjoy paid bonding time following a birth.

Commuter Benefits

Take the stress out of commuting with access to fully-paid parking spots.

Referral Bonus

Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.

401k

Contribute towards a 401k for retirement planning.

Equity

Be an owner in Nimble through our equity program