Mechanical Solution Engineer, Robotics

NVIDIA is hiring a Mechanical Solution Engineer, Robotics in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions Python, Kubernetes and AWS among its tools and skills.
Level classes it as a lead role.
NVIDIA has 2,600+ other open roles on Level.

AI in this role

Lead a team of data scientists and specialists to build state-of-the-art generative AI and machine learning solutions for dialogue and text.

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machine-learninggenerative-ainlpcomputer-visiondata-science

We are seeking hands-on Mechanical Engineer in Solutions Architecture Team to support the design and development of robotic hardware systems, with a focus on mechanism design and mechatronics integration. This role will contribute to rapid prototyping, iteration, and validation of mechanical subsystems, particularly for end-effectors and robotic assemblies. You’ll collaborate with Gear Lab Team known for influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, pushing the frontier of humanoid robotics.

What you'll be doing:

Design and develop mechanical components and assemblies for robotic systems, with emphasis on mechanisms and transmissions
Contribute to end-effector and gripper design, including kinematics, packaging, and integration with actuators and sensors
Prototype and iterate designs using rapid fabrication methods (3D printing, off-the-shelf components, vendor-fabricated parts)
Collaborate with electrical and software engineers to integrate motors, sensors, and control systems
Perform basic analysis and validation of designs (tolerance, strength, failure modes, etc.)
Generate clear CAD models, drawings, and documentation for fabrication and assembly
Support lab build, test, and debugging of hardware systems

What we need to see:

Bachelor’s or Master’s degree in Mechanical Engineering or related field with over 4 years' working experience
Strong fundamentals in mechanical design, including mechanisms, linkages, gear trains, and actuation systems
Experience with robotic systems, mechatronics, or precision mechanical design
Proficiency in CAD (e.g., Onshape, SolidWorks, Fusion 360, or similar)
Familiarity with motors, transmissions, and basic control concepts
Understanding of design for manufacturing (DFM) and tolerance stack-up
Hands-on experience building and debugging physical hardware

Ways to stand out from the crowd:

Experience with end-effectors or gripper design
Familiarity with cable-driven systems, compliant mechanisms, or underactuated designs
Experience working with vendors for CNC, sheet metal, or additive manufacturing
Exposure to sensors (encoders, force/torque, tactile) and their integration
Basic programming or scripting for testing and data collection

How we rate this

Mechanical Solution Engineer, Robotics at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Mechanical Solution Engineer, Robotics is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in China, Shanghai.
The job was posted on June 2, 2026.
Seniority: lead.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningGenerative AINLPComputer visionData SciencePythonKubernetesAWS

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
What NLP problem have you worked on, and how did you measure whether it actually worked?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where data science was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, Generative AI, NLP, Computer vision, and Data Science. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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