Computer Vision Engineer
Applied Intuition · Sunnyvale
Roboticsonsitesenior$150k–$225k
At a glance
Highlights
- Build perception models detecting targets across maritime, land, and air domains.
- Deploy optimized models for better-than-realtime performance on edge hardware.
- Build foundation models for high-accuracy assisted data labeling.
What they offer
- Equity
Ideal candidate
Hands-on, high-tempo engineer passionate about defense perception and frontier AI who thrives building end-to-end systems from models to edge deployment and collaborating across hardware and autonomy teams.
Requirements
- MS or PhD in Computer Engineering, Robotic Engineering, Computer Science or equivalent OR 5+ years relevant experience
- 5+ years of experience within industry supporting Computer Vision related capabilities
- Proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems
- Experience in optimizing and deploying machine learning models to edge devices
- Proven experience in Python and/or C++ with agentic coding and AI-powered development tools
- remote policy
- In-office 5 days a week with occasional flexibility
Lab profile
About Applied Intuition
Builds simulation, vehicle OS, and autonomy infrastructure for automotive, defense, and heavy industries.
What they build
- Autonomy software stacks
- Vehicle operating systems
- Simulation and validation tooling
Known for
- Trusted by 18 of top 20 global automakers
- Expertise across automotive, defense, trucking, mining and agriculture
- Full-stack coverage from tooling to OS to autonomy
Key facts
- Founded in 2017
- Headquartered in Silicon Valley
- Valued at $15 billion
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