🤖 Robotics Engineer Intern (Onsite, Bay Area)

📍 Location: Bay Area, CA (Onsite)
📌 Type: Internship (Full-time or Part-time)
⏳ Duration: 3–6 months
🚀 Start Date: ASAP
💰 Compensation: Paid internship, $8,000 – $10,000 / month (pre-tax, commensurate with experience)
🛂 Work Authorization: U.S. work authorization required. CPT / OPT supported.

Company: DeepReach AI

Team: Robotics Research & Deployment

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About DeepReach

DeepReach is a fast-moving robotics startup focused on real-world robot deployment and task-specific model training. We work at the intersection of teleoperation, deployment data, and embodied AI, helping robots move from lab demos to reliable, production-ready systems in customer environments.

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About the Role

We are seeking a Robotics Engineer Intern to join our onsite team in the Bay Area. You will work directly with the research and deployment lead to build, test, and iterate on real-world robotics deployment scenarios, support teleoperation and data collection pipelines, and contribute to training and evaluating task-specific VLA models.

This role is ideal for hands-on builders who want direct exposure to physical robots and real deployment challenges, beyond simulation-only research. You will be part of a high-agency, fast-paced startup environment where you can see your work directly impact real robots.

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What You'll Work On

• Build and test robot deployment scenarios in real or customer-like environments
• Support teleoperation (TeleOps) systems for robot operation and data collection
• Assist with robotics data collection, annotation, and quality validation
• Work with the research team on VLA, imitation learning, and policy training workflows
• Integrate and operate robot arms, grippers, mobile bases, and sensor stacks
• Debug deployment issues involving perception, calibration, latency, and control
• Help run experiments and internal demos for deployment readiness

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What We're Looking For

• Background in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related fields
• Prior experience (academic, research, or project-based) in robotics, embodied AI, or automation

Hands-on skills in at least one of these areas:

• Robot manipulation or mobile robots
• Teleoperation systems
• Robotics data collection or dataset generation
• Imitation learning, reinforcement learning, or VLA models

Technical Proficiency:

• Proficient in Python and/or C++
• Familiar with ROS / ROS2

Work Style:

• Comfortable and excited to work onsite with physical hardware
• Strong problem-solving skills and ability to thrive in a fast-paced, iterative startup environment
• A proactive "builder" mindset—you enjoy rolling up your sleeves to make things work

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Nice to Have (Bonus Points)

• Experience with real-world robot deployment (beyond simulation)
• Familiarity with RGB-D sensors, point clouds, or SLAM
• Experience using simulation tools (e.g., Isaac Sim, MuJoCo, PyBullet)
• Publications, open-source contributions, or a strong robotics project portfolio
• A genuine interest in bridging research concepts and production systems

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What You'll Gain

• Tangible, Hands-on Experience: Deploy and debug real robots in physical environments
• Mentorship & Growth: Direct guidance from experienced research and deployment leads
• End-to-End Exposure: Deep involvement in the full pipeline from teleoperation and data collection to model training and deployment
• High-Impact Role: Your contributions will have a direct and visible impact on our technology and product
• Path to Full-time: Strong performance during the internship can lead to a full-time role offer

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How to Apply

If you're a hands-on problem-solver eager to work with real robots, we'd love to hear from you.

📧 申请方式: 请通过电鸭社区查看本帖获取申请邮箱，并发送以下材料：

• 最新简历
• 简短说明：介绍你最相关的机器人项目或经验
• 可开始实习的时间：注明最早入职日期

我们会在收到申请后的3-5个工作日内回复合适的候选人。