Research Engineer - Robotics and AI

Quick Facts

• Research Engineer focused on Robotics and AI / Robot Learning

Description

As a Research Engineer - Robotics and AI, you contribute to research projects at the forefront of Robot Learning. You engineer and deploy embodied AI capabilities such as computer vision, autonomous planning, and open-world learning, and you advance AI-based robotics with large vision-language-action models to improve reasoning and explainability. You collaborate with global research and engineering teams to transfer results into integrated systems and support research documentation through publications and/or patent submissions.

Responsibilities

• Conduct engineering in core AI and machine learning to enable embodied AI for ADAS/AD, industrial automation, and robotics domains
• Develop and apply advancements in AI-based robotics, including large vision-language-(action) models
• Collaborate cross-functionally for seamless technology transfer and system integration
• Implement research results to solve real-world challenges with high-quality system integration
• Stay current via academic and industry communities (conferences, workshops, events)
• Document and disseminate findings through publications and/or patent submissions

Requirements

• Ph.D. in Computer Science, Robotics, or related discipline OR outstanding Master’s degree
• Minimum 2 years of R&D experience (or equivalent graduate research) in AI technologies including Computer Vision and robotic/automotive motion and behavioral planning
• Proficiency in one or more programming languages used in ML (e.g., Python, C++, Rust)
• Strong communication and teamwork skills
• Knowledge of major ML frameworks such as TensorFlow or PyTorch
• Hands-on research experience in agentic robotics / real2sim2real

Benefits

• Competitive base salary range in US-California: $160,000–$180,000, plus annual corporate bonus and long-term incentive bonus
• Premium health coverage
• 401(k) with generous matching
• Financial planning and goal-setting resources
• Ample paid time off and parental leave
• Comprehensive life and disability protection
• Drug screening and background check required before start date