обновлено 2 дня назад
Embodied AI Engineer (Robotics)
150 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Embodied AI Engineer (Robotics): Building scalable training, evaluation, data, and deployment infrastructure for robot foundation models and next-generation home robots with an accent on VLA and diffusion policies, simulation, teleoperation, and real-world data. Focus on optimizing models, bringing up robot hardware, closing the simulation-to-deployment loop, and integrating embodied AI systems into consumer products.
Location: Hybrid role based in Englewood Cliffs, New Jersey, or Santa Clara, California, United States
Salary: $150,000–$210,000 USD annually, depending on experience and location.
Company
develops consumer technology across home appliances, media and entertainment, vehicle solutions, and eco solutions.
What you will do
- Implement, debug, and optimize VLA, diffusion and flow-matching policies, world models, and other model architectures from prototype through reliable deployment.
- Build scalable training and evaluation infrastructure for robot foundation models and on-robot deployment stacks.
- Architect large-scale data pipelines combining simulation, generative AI, teleoperation, and real-world data collection.
- Work directly with robot hardware, bring up new platforms, debug real-world failures, and connect simulation with deployment.
- Collaborate with research teams and hardware partners to integrate embodied AI systems into LG consumer products and technical roadmaps.
Requirements
- Bachelor’s degree with 5+ years of relevant industry or research experience, or a master’s degree with 3+ years, in computer science, mechanical engineering, electrical engineering, or a related technical field.
- Strong software engineering skills in Python or C++ and experience across the stack from data pipelines to deployed models.
- Hands-on experience training and deploying robot foundation models, building robot-learning data pipelines, or developing infrastructure for manipulators or mobile robots.
- Experience with RGB/depth cameras, force-torque or tactile sensors, simulation, teleoperation, or generative data augmentation.
- Excellent written and verbal communication skills for collaboration with research scientists and translating ideas into shipped systems.
Nice to have
- PhD in a relevant technical field.
- Familiarity with world models, spatial intelligence, and learning from demonstration.
- Contributions to open-source robotics or machine-learning infrastructure tooling.
Culture & Benefits
- Work at the intersection of frontier AI research and large-scale consumer deployment.
- Collaborate with industry, university, and startup partners on hardware-software systems.
- Medical, dental, vision, and prescription coverage with no-cost employee premiums for eligible employees and dependents.
- Company-matched 401(k) contributions with immediate vesting.
- Paid holidays, sick leave, vacation time, parental leave, mental health resources, fitness incentives, and life and disability insurance.
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