We’re hiring.

What you’ll do

• Study bench tasks such as recognizing, locating, picking, placing, using tools and running a protocol, and help design the embodied-AI approach for each.
• Select, adapt, fine-tune and evaluate VLM, VLA, LLM-agent and imitation-learning models that turn language, vision and robot state into tasks and action sequences.
• Build task planning, skill calls, state checks, execution monitoring and recovery from failures; join perception, planning and control into stable, reusable task flows.
• Work the data loop on the real robot: collection, cleaning, labeling, training, replay and evaluation. Find why tasks fail and raise success rate, speed, generalization and stability.
• Work with the mechanical, control, embedded and software teams on interfaces, simulation tests, on-robot integration and inference deployment.

What we look for

• Bachelor’s degree or above in computer science, AI, robotics, automation, control, electronics or a related field.
• Project experience in robotics, embodied AI, computer vision or multimodal models, including taking an algorithm from development to a real robot.
• Fluent Python; able to read and write C++; PyTorch or a similar framework.
• Linux and ROS / ROS 2; you understand the chain from perception to planning, control and execution, and can debug across it.
• Depth in one or more of: VLM, VLA, LLM agents, computer vision, imitation learning, reinforcement learning, task planning.
• You like working on the robot itself: collecting data, running tests, iterating.

Nice to have

• Real-robot work with arms, dual-arm or mobile manipulators, or end effectors.
• Training, fine-tuning or deploying ACT, Diffusion Policy, OpenVLA, RT-series or other manipulation models.
• Grasping, visual localization, hand–eye calibration, skill orchestration or failure recovery.
• Isaac Sim, MuJoCo or Gazebo, with sim-to-real practice; TensorRT, ONNX Runtime or CUDA.
• Lab automation, scientific instruments or complex electromechanical systems.

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What we look for

• Current student or recent graduate, bachelor’s or above, in computer science, AI, robotics, automation, control or a related field.
• Fluent Python, some C++, and experience with PyTorch or a similar framework.
• Familiar with one or more of: computer vision, multimodal models, agents, imitation learning, reinforcement learning, robot task planning.
• Comfortable on Linux. ROS / ROS 2, robot arm, simulation or robotics project experience is a plus.
• Hands-on and quick to learn: data processing, model debugging, evaluation and integration on the real robot.
• Available for at least three consecutive months.

Nice to have

• Real-robot work with arms, dual-arm or mobile manipulators, or end effectors.
• Training, fine-tuning or deploying ACT, Diffusion Policy, OpenVLA, RT-series or other manipulation models.
• Isaac Sim, MuJoCo or Gazebo, with sim-to-real practice; TensorRT, ONNX Runtime or CUDA.
• Lab automation, scientific instruments or complex electromechanical systems.

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What you’ll do

• Design, build and maintain the arm’s control software and SDK: position, velocity and trajectory interfaces in joint and Cartesian space, real-time, stable and extensible.
• Develop trajectory interpolation, velocity planning, path planning and obstacle avoidance within velocity, acceleration, jerk, joint-limit, workspace and singularity constraints.
• Develop and verify forward and inverse kinematics and Jacobians; build and refine DH and URDF models; calibrate TCP and frames, analyze error and compensate for accuracy.
• Model arm dynamics and identify rigid-body parameters; develop gravity, friction and feedforward compensation; design position, velocity, torque or impedance control for fine manipulation, with limits, collision detection and safe stops.
• With the systems, embedded, vision and applications teams, fit end tools, deploy, tune and test on the real robot for labware handling, material transfer and fine manipulation.

What we look for

• Bachelor’s degree or above in robotics, control, automation, mechanical engineering, mechatronics or a related field. Students, new graduates and experienced engineers are all welcome to apply.
• Solid foundations in robotics, control, linear algebra, and rigid-body kinematics and dynamics.
• C++ with Eigen or similar libraries; Linux; Git, CMake and GDB.
• Understanding of ROS 2. Experience with ros2_control or MoveIt 2 is preferred.
• Hands-on work in arm control, motion planning, dynamics modeling or calibration, from coursework, lab projects, competitions, internships or industry. For a full-time role: able to own a control module, debug on the robot and find the cause of a problem.
• You care about code quality, control performance and safety, and reason from logs, data curves and what the robot actually does.

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Write to us for the full description.

Apply now →

Write to us for the full description.

Apply now →

What we look for

• Enrolled in a bachelor’s, master’s or PhD program in computer science, AI, bioinformatics, computational chemistry or a related field. Cross-disciplinary backgrounds are welcome.
• Solid machine-learning foundations; Python and PyTorch; able to run experiments and analyze results on your own.
• Research or project experience in at least one of: LLMs, agents, model evaluation.
• You read papers in English, survey related work, and state a research question, an experimental design and a conclusion clearly.
• Interest in real scientific problems in biology or chemistry, and care for data quality, experimental detail and reproducibility.
• On site in Shanghai or Shenzhen at least three days a week.

Nice to have

• Papers at ICML, ICLR, NeurIPS or in journals on LLMs, agents, model evaluation or AI for Science, or a core part in such research.
• You have driven a research project, a submission or an open-source research project yourself.
• Benchmark building, scientific data processing, tool-augmented reasoning, or agent training and evaluation.
• Research experience in biology, chemistry or drug discovery.

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What we look for

• Master’s degree or above in biochemistry, molecular biology, biotechnology, pharmacy or a related field, with experience in protein science, biologics or related drug R&D. A systematic grasp of protein expression and purification, characterization of large molecules, binding and activity assays, and bioanalysis.
• Three to five years or more in pharma or biotech. You know large-molecule drug R&D, lab services and project delivery. Experience at a leading international pharma or biotech company is preferred.
• Team management or cross-functional project management. Having built a lab platform, a business line or a team from zero is preferred.
• You turn the needs of drug-discovery and AI drug discovery customers into clear, runnable experiments and data deliverables, and own quality, schedule and results.
• You understand AI drug discovery and data-driven R&D and work well with AI and model teams. Experience in AI pharma, experimental data platforms or data production at scale is preferred.
• We weigh business understanding, team leadership, customer judgment and delivery above depth in a single experimental technique.

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What you’ll do

• Build the external narrative. Work closely with the founders, engineering and product on positioning, the product story and key milestones, so that people from different backgrounds understand what we do and why it matters.
• Plan and run communications around product launches, technical progress and major partnerships: topics, content, media, follow-up.
• Build lasting, trusted relationships with media, creators and communities in AI, robotics and technology.
• Own content quality across press releases, interviews, social media and demos; work with design and video so that words, visuals and live moments agree.
• Notice the moments worth speaking in, and advise on interviews, events and public conversations.

What we look for

• Communications, brand, media or content experience in AI, robotics or a related field. You understand product and technology in depth and know exactly where their limits are.
• Taste, and the ability to explain it. It shows in the choices you have made in real work.
• Good English reading and communication.
• You know how media and content work in practice and can run the whole path yourself, from topic and interview to writing and publication.
• Proactive and reliable. You go into the team to find the real stories and turn ideas into finished work.

Nice to have

• Experience in tech media, an AI or robotics company, or an early-stage tech team; a content project you run yourself; or a product launch done well.

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What you’ll do

• Own full-cycle hiring for core roles in algorithms, robot hardware, mechanical design and wet-lab CRO leadership: from intake and profile to sourcing, interviews, offer and onboarding.
• Map talent across embodied AI, humanoid robots, lab automation and AI drug discovery: target companies, core teams, key people. Reach passive candidates and build long-term relationships.
• Go to industry summits, technical forums and university events; build networks and community partnerships, and show what it is like to work here.
• Build and run talent pools; review what each channel returns; widen sourcing through search firms, referrals, technical communities and GitHub.
• Track talent movement, compensation and competitors, and report what you learn to inform hiring decisions, leveling and strategy.

What we look for

• Bachelor’s degree or above; three to five years in recruiting, two or more in AI, robotics or deep tech. A search-firm or in-house senior technical hiring background is preferred.
• Expert at talent mapping, and strong at sourcing people who are not looking.
• You know the profiles of embodied-AI, algorithm and hardware roles, with enough technical judgment to screen well.
• Active at industry events; you build your own network.
• Excellent communication and offer negotiation.
• Results-driven and self-directed, with a sense of ownership; at home in a fast startup.

Nice to have

• Years in tech or robotics at a leading search firm, or in-house recruiting at a known embodied-AI, humanoid-robot or AI drug discovery company.
• An existing network in embodied AI, robot algorithms and hardware, and core technical hires you can point to.
• Building a recruiting function or a talent pool from zero.

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What you’ll do

• Recruiting: work with hiring needs for AI and drug-R&D roles; screen résumés, schedule and coordinate interviews, follow offers through to onboarding; keep channels, job descriptions, the talent pool and hiring reports up to date.
• The office: desks, meeting rooms, access, network and utilities; assets and supplies; vendors for the building, cleaning, courier and travel; visitors and company licenses.
• HR basics: joining, transfer and leaving paperwork and records; attendance, leave and employment letters; data for social insurance and payroll; team events.

What we look for

• Bachelor’s degree or above; two to three years in HR, administration or recruiting.
• Background in AI, robotics, biopharma or another technology or pharma field; quick to understand technical roles.
• Fluent with office and collaboration tools; basic data and record keeping.
• Careful, dependable and service-minded, with good communication.
• Comfortable in a fast, multi-threaded startup.

Nice to have

• HR, administration or recruiting experience at a tech company, an innovative drug company or a CRO.
• Technical or R&D roles you have hired for end to end.
• Knowledge of Shanghai employment rules; team events you have organized.
• Basic written English.

Apply now →