
Imagry makes it possible for vehicles and buses to drive themselves using vision-first AI, without HD maps or expensive sensors. The company delivers a hardware-agnostic, B2B SaaS autonomy stack (Imagry Cortex) that uses deep learning, computer vision, imitation learning, and neural networks to perceive environments and learn driving behavior in real time. The platform targets automotive OEMs, tier-1 suppliers, and public transit operators and integrates with existing vehicle platforms and fleet systems. Imagry’s mapless SAE L3/L4 software is deployed in public transit and passenger vehicle pilots and is positioned to scale across fleets and transit networks globally.

Imagry makes it possible for vehicles and buses to drive themselves using vision-first AI, without HD maps or expensive sensors. The company delivers a hardware-agnostic, B2B SaaS autonomy stack (Imagry Cortex) that uses deep learning, computer vision, imitation learning, and neural networks to perceive environments and learn driving behavior in real time. The platform targets automotive OEMs, tier-1 suppliers, and public transit operators and integrates with existing vehicle platforms and fleet systems. Imagry’s mapless SAE L3/L4 software is deployed in public transit and passenger vehicle pilots and is positioned to scale across fleets and transit networks globally.
Position: Senior Deep Learning Engineer - Perception
imagry.E4.E30@comeetapply.com
Location: San Jose, Ca On—Site
We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team.
The engineer will work on devising, developing, and integrating novel deep vision-based Perception algorithms at the heart of our autonomous driving system.
This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.
Position reporting to the Perception Team Leader in San Jose.
Cooperate with SJ site Deep Learning Engineers, Safety Drivers & test engineers.
Work closely with deep learning engineers and tech leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.
Supervise complex data pipelines, from the collection stage, through annotation, to models training.
Design and optimize deep neural networks, involving innovative feature engineering.
Take an End-to End responsibility over medium to long-term projects
See projects through from research to deployment.
Devise and implement performance metrics.
Communicate, present and visualize results.
Align the algorithms with the product needs.
M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. – Advantage
A proven track record of at least 3 years hands-on experience in developing deep learning algorithms.
Experience and knowledge in computer vision and image processing algorithms, including classification, object detection, and/or semantic segmentation
In-depth, hands-on knowledge of deep learning fundamentals.
Hands-on experience with deep learning frameworks such as PyTorch.
Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry.
Proficiency in Python programming.
Experience in conducting long-term development and/or research projects, in either academia or industry.
Proficiency in English, both written and spoken.
Team player – fosters a positive and cooperative work environment by maintaining strong collaboration within the team and building productive relationships with other teams across the company
Eligible to work in the US
Skills That Are Considered An Advantage Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning
Basic proficiency in C++
Experience with Linux
Source control with git
Salary range: 170-190 K annually.