Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.
Our base salary range is $118,800 - $178,200, and in addition we have generous bonus plans to provide a competitive compensation package.

Who You Are:

You are a hands-on robotics engineer who thrives at the intersection of theory and system-building, equally comfortable developing low-level controllers as you are deploying learned policies on real hardware. You have experience working across the full robotics stack, from reasoning and perception to control and physical execution, and you take a systems-oriented view of complex robotic platforms. Whether working with real robots or high-fidelity simulators, you bring strong debugging instincts, fluency in Python, and a practical understanding of modern robotics and simulation ecosystems. You care about making systems actually work, not just in isolation, but end-to-end under real-world constraints.

In this role, you will collaborate closely with researchers on high-impact robot learning projects, translating cutting-edge algorithms into robust, deployable behavior. You will help build and iterate on sim-to-real pipelines, develop control and experimentation infrastructure, and enable large-scale learning through GPU-accelerated simulation. This is an environment where engineering rigor meets research ambition: you'll have the opportunity to shape core system capabilities, influence experimental design, and contribute to projects that push the boundaries of what robots can learn and do in the real world.

Your Next Challenge:

Our needs include the following competencies. If your experience and interests are a match for some but not all of these areas, we still encourage you to apply.

• Develop and maintain complete control stacks for robotic systems, including low level control, motion planning, and integration of learned policies.
• Develop and maintain the sim-to-real pipeline, including system identification, understanding simulation models, and deploying learned policies from simulation to real hardware.
• Lead robot set-up across manipulation and mobile hardware platforms, including integration, calibration, and system tuning.
• Diagnose and resolve complex system behaviors across hardware, software, and runtime.
• Collaborate closely with researchers to translate algorithms into reliable, real-world robotic behavior.
• Work with modern GPU-accelerated simulation frameworks to enable large-scale experimentation.

What You'll Need:

Minimum Qualifications:

• Masters + 3 years experience or PhD in robotics or relevant field. Exceptional candidates with a bachelor's degree and 3+ years of industry experience are also welcome to apply.
• Proficiency in Python and modern robotics / simulation ecosystems.
• Strong depth of experience working with either physical robots or robotic simulation.
• Strong development and debugging skills across the full robotics stack (perception 12 planning or inference 12 control 12 hardware).
• Clear communication and ability to collaborate effectively with research teams.
• A structured, systems-oriented approach to building and improving complex robotic infrastructure.

Preferred Qualifications:

• Experience implementing and tuning real-time control systems along with a strong foundation in control, dynamics, and system identification.
• Experience translating control and learning-based methods from simulation to real robotic systems.
• Familiarity with large-scale simulation and reinforcement learning pipelines.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Benefits:

• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company's 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.