Research Engineer - 3D Vision and Generation, Self-Driving

The Robot Age; Sunnyvale (CA); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Applied Intuition in Sunnyvale seeks a hands-on Research Engineer to advance 3D vision and generation for autonomous systems. You will connect model research with real-world autonomy across vehicles, industrial machines, humanoids, and dexterous robots.

This role emphasizes implementing models, data pipelines, and evaluation tools, working with real-world autonomy data and simulation infrastructure to push research toward deployable robotic systems.

Qualifications

• Research engineering background in computer vision, generative models, robotics, or autonomy.
• Ability to implement models, data pipelines, and evaluation tools.
• Comfort working with real-world autonomy data and simulation infrastructure.
• Interest in physical AI systems beyond offline benchmarks.

Responsibilities

• Build and evaluate 3D perception, generation, and autonomy research systems.
• Turn fleet-scale data and simulation infrastructure into usable experiments.
• Collaborate with research scientists and autonomy engineers on model quality.
• Help move promising methods from research prototypes toward robotic systems.

Skills

3D vision research

Generative models

Robotics

Autonomy systems

Job description

What the role actually is

Applied Intuition is hiring a research engineer for 3D vision and generation inside its research group. The work connects model research to autonomy systems that may run across vehicles, industrial machines, humanoids, and dexterous robots.

This is a hands-on research engineering role, not a product design role. It belongs here because the listing is directly tied to physical AI, robotic generalists, and the evaluation loop between simulation, data, and deployed autonomy.

What you would work on

• Build and evaluate 3D perception, generation, and autonomy research systems
• Turn fleet-scale data and simulation infrastructure into usable experiments
• Collaborate with research scientists and autonomy engineers on model quality
• Help move promising methods from research prototypes toward robotic systems

What they are asking for

• Research engineering background in computer vision, generative models, robotics, or autonomy
• Ability to implement models, data pipelines, and evaluation tools
• Comfort working with real-world autonomy data and simulation infrastructure
• Interest in physical AI systems beyond offline benchmarks

Why this one is worth a look

Applied sits in an unusual position between simulation tools, autonomy infrastructure, and emerging physical AI products. If you want research work that can touch both self-driving and robotic generalist systems, this is one of the more direct bridges between model development and machines in the world.