机器人研究副总裁
VP of Robotics Research
职位名称：机器人研究副总裁
职位类型：全职
工作地点：远程
职责：
作为机器人研究副总裁，你将领导我们的机器人研究团队，开发机器人学习背后的数据基础。你将定义机器人数据的收集、表示、评估和扩展方式——帮助构建一个机器人数据引擎，使机器人系统的能力不断提升。
与人工智能研究人员和工程师合作，你将推动机器人、感知、学习和大规模数据交叉领域的研究。你还将组建和培养一支优秀的机器人研究人员团队，在保持深入研究和实验的同时设定技术愿景。
你将负责：
- 制定机器人数据、具身人工智能和机器人学习的研究策略。
- 领导专注于机器人数据集、多模态表示、感知、操作和以数据为中心的学习的研究项目。
- 组建、指导和培养一支机器人研究人员团队，同时培育科学严谨性、好奇心和快速实验的文化。
- 通过远程操作、人类示范、仿真、自主探索和真实场景部署，开发新的机器人数据收集方法。
- 通过定义数据收集流程、任务分类法、标注模式、质量控制流程、评估方法和最终数据交付格式，设计可扩展的机器人数据流水线。
- 将研究和客户目标转化为可扩展的数据流水线规范，明确数据需求、收集策略、标注标准和成功指标。
- 与研究、工程、产品和运营团队合作，实现流水线设计并交付生产就绪的机器人数据解决方案。
- 建立可扩展的基准和评估框架，以衡量和提升机器人学习性能。
- 通过评估领先的学术实验室和行业中的新兴文献、数据集和技术，保持在机器人研究的最前沿。
- 通过清晰的文档、知识共享和有效的跨职能沟通，推动技术卓越。
我们寻找：
- 在机器人研究、具身人工智能、机器人学习或机器人软件工程方面有丰富经验。
- 有领导或指导高性能技术或研究团队的经验。
- 对机器人数据流水线、多模态数据集和机器人学习的数据基础设施有深刻理解。
查看英文原文
Job Title: VP of Robotics Research
Job Type: Full-time
Location: Remote
The Role:
As VP of Robotics Research, you'll lead our Robotics Research team in developing the data foundations behind robot learning. You'll define how robotics data is collected, represented, evaluated, and scaled—helping build a Robotics Data Engine that enables increasingly capable robotic systems.
Working alongside AI researchers and engineers, you'll drive research at the intersection of robotics, perception, learning, and large-scale data. You'll also build and mentor a team of exceptional Robotics Researchers, setting the technical vision while remaining deeply involved in research and experimentation.
What You'll Do
- Define and execute the research strategy for robotics data, embodied AI, and robot learning.
- Lead research initiatives focused on robotics datasets, multimodal representations, perception, manipulation, and data-centric learning.
- Build, mentor, and grow a team of Robotics Researchers while fostering a culture of scientific rigor, curiosity, and rapid experimentation.
- Develop novel approaches for collecting robotics data through teleoperation, human demonstrations, simulation, autonomous exploration, and real-world deployments.
- Design scalable robotics data pipelines by defining collection workflows, task taxonomies, annotation schemas, quality control processes, evaluation methodologies, and final data delivery formats.
- Translate research and client objectives into scalable data pipeline specifications, defining data requirements, collection strategies, labeling standards, and success metrics.
- Partner with research, engineering, product, and operations teams to operationalize pipeline designs and deliver production-ready robotics data solutions.
- Establish scalable benchmarks and evaluation frameworks to measure and improve robot learning performance.
- Stay at the forefront of robotics research by evaluating emerging literature, datasets, and techniques from leading academic labs and industry.
- Drive technical excellence through clear documentation, knowledge sharing, and effective cross-functional communication.
What We're Looking For
- Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering.
- Experience leading or mentoring high-performing technical or research teams.
- Deep understanding of robotics data pipelines, multimodal datasets, and data infrastructure for robot learning.
- Strong expertise in robot perception, manipulation, control, imitation learning, reinforcement learning, or foundation models for robotics.
- Experience designing and evaluating large-scale robotics datasets and data collection strategies.
- Ability to bridge research and engineering, translating cutting-edge ideas into scalable systems.
- Excellent written and verbal communication skills with experience collaborating across multidisciplinary teams.
- Passion for advancing embodied intelligence through innovative research and data-driven approaches.
Preferred Qualifications
- Master's or PhD in Robotics, Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
- Publications at leading conferences such as CoRL, RSS, ICRA, IROS, NeurIPS, ICML, or CVPR.
- Experience building large-scale robotics datasets, data engines, or research infrastructure.
- Hands-on experience with robotics frameworks and simulation environments such as ROS, ROS2, Isaac Lab, Isaac Sim, MuJoCo, Habitat, or ManiSkill.
- Contributions to open-source robotics projects or significant research impacting embodied AI.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $250,000 –$350,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to .
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Originally posted on Himalayas