Company Overview
Imagry provides unique mapless driving solutions for Level 3-4 autonomous vehicles. Our location-independent technology enables rapid deployment on unknown roads. It is hardware-agnostic, self-sufficient, uses hi-res cameras, fits many self-driving applications, and can be installed on passenger vehicles as well as autonomous buses. Imagry’s bio-inspired technology collects and processes peripheral information from cameras installed on the vehicle. This data is sent to a special computer in the vehicle whose purpose is to perform, in real time, the actions that will allow the vehicle to drive autonomously (similar to a human driver). Imagry’s unique location-independent technology enables the rapid deployment of autonomous vehicles on unknown roads for journeys of all lengths. It uses low-cost sensors and eliminates the need for a continuous satellite connection or multiple investments for the digital mapping of roads and cities. For the last four years, Imagry has been driving autonomously with passenger vehicles on public roads in the US, Germany, Japan, and Israel. It recently won two different bids to operate autonomous public vehicles (shuttles and buses, respectively) on Israel’s roads. Imagry’s investors include Takwin Ventures, Afifi Group, and others.
About the job
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.
Responsibilities:
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.
Requirements:
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
How to Apply:
APPLY