обновлено 5 дней назад
Robotics Engineer
128 880 - 193 320$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics Engineer (Robot Learning/Simulation): Building complete control stacks, sim-to-real pipelines, and GPU-accelerated simulation infrastructure for manipulation and mobile robotic systems with an accent on learned policies, system identification, and real-hardware deployment. Focus on translating research algorithms into reliable robotic behavior, debugging complex hardware-software interactions, and enabling large-scale experimentation.
Location: Seattle, Washington, United States; expected to work from the Seattle offices
Base salary: $128,880–$193,320 per year, plus bonus plans.
Company
is a Seattle-based nonprofit AI research institute developing open-source foundational AI research and applications in robotics, large models, data, and conservation.
What you will do
- Develop and maintain complete control stacks covering low-level control, motion planning, learned policies, and hardware integration.
- Build and maintain sim-to-real pipelines, including system identification, simulation modeling, and policy deployment to real robots.
- Set up, integrate, calibrate, and tune manipulation and mobile robotic platforms.
- Diagnose complex behaviors across hardware, software, and runtime systems.
- Collaborate with researchers to translate algorithms into reliable real-world robotic behavior.
- Use GPU-accelerated simulation frameworks to support large-scale experimentation and learning.
Requirements
- Master’s degree with 3 years of experience, a PhD in robotics or a relevant field, or a bachelor’s degree with 3+ years of industry experience.
- Proficiency in Python and modern robotics and simulation ecosystems.
- Strong experience with physical robots or robotic simulation.
- Development and debugging skills across perception, planning or inference, control, and hardware.
- Clear communication and effective collaboration with research teams.
- Must be authorized to work in the United States; employment authorization is verified through E-Verify.
Nice to have
- Experience implementing and tuning real-time control systems.
- Strong foundation in control, dynamics, and system identification.
- Experience transferring control and learning-based methods from simulation to real robots.
- Familiarity with large-scale simulation and reinforcement learning pipelines.
Culture & Benefits
- Open-source research environment with collaborations across robotics, computer vision, and language-model teams.
- Learning opportunities through Ai2 Academy lectures, guest experts, and ongoing education support.
- Medical, dental, vision, life, disability, and employee assistance program coverage.
- 401(k), health savings and reimbursement accounts, and flexible spending accounts.
- Paid vacation, sick leave, personal days, holidays, and family leave.
- Commuting or internet support, fitness and wellbeing allowance, annual bonuses, and a long-term incentive plan.
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