16 часов назад
AI Engineer (Robotics)
100 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Robotics): Develop AI-driven learning systems, simulation environments, and perception algorithms for robots with an accent on real-to-sim and sim-to-real pipelines and hardware integration. Focus on building and validating reinforcement learning and imitation learning systems, advancing robotics research infrastructure, and collaborating with external robotics companies and research labs.
Location
Location: On-site in San Francisco, CA, United States
Salary
Salary range: $100,000 – $300,000 USD annually, depending on experience
Company
is a startup focused on AI-driven robotics systems combining research and engineering.
What you will do
- Develop learning systems for robots including policies, world models, and vision-language-action models.
- Build and maintain simulation environments and evaluation frameworks for robotic tasks.
- Apply and advance computer vision and perception algorithms for autonomous robots.
- Construct pipelines connecting simulation and real-world robot deployment (real-to-sim and sim-to-real).
- Work with robot hardware, sensors, actuators, and embedded systems to prototype and test capabilities.
- Train and evaluate reinforcement-learning and imitation-learning systems for manipulation, locomotion, or mobile platforms.
- Integrate and experiment with robot platforms to validate algorithms in the physical world.
- Create tools and infrastructure that accelerate robotics research and development.
- Collaborate with external robotics companies and research labs on technical problems.
Requirements
- Must be authorized to work in the US; visa sponsorship is not available
- Strong software skills in C++ and Python.
- Experience with deep learning, reinforcement learning, and computer vision.
- Experience developing and maintaining robotics simulation environments and real-to-sim/sim-to-real workflows.
- Practical experience with robot hardware, sensors, actuators, CAD/Blender, and embedded systems.
- Comfortable moving fluidly between research, engineering, experimentation, and product development.
Nice to have
- Familiarity with modern ML tools such as LLMs, Transformers, multimodal AI, diffusion models, or AI agents.
Culture & Benefits
- Equity participation expected at this stage.
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