Position: Deep learning team leader - Perception
Position E-mail: [email protected]
Location: San Jose, Ca On--Site
We are seeking an experienced and capable Deep Learning Team Leader to join our R&D team. The Team Leader will manage and guide a team of engineers focused on developing and integrating novel vision-based Perception algorithms for our autonomous driving system. In addition to leading the team, the Team Leader will work hands-on to research and implement innovative features using state-of-the-art deep learning methods.
This is a unique 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 Group Leader.
Responsibilities:
Manage and technically lead a team of deep learning engineers, overseeing technical, project management and personal aspects.
Manage Perception projects allocated to the San Jose site.
Work closely with technical leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.
Plan, guide, and lead medium to long-term projects involving multiple engineers.
See projects through from research to deployment.
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
Devise and implement performance metrics.
Communicate, present and visualize results.
Align the algorithms with the product needs.
Work together with HR to manage local recruitment processes (engage local recruits, interview, work with HR at HQ)
Qualifications:
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 2 years in managing and technically leading a team of 3 or more engineers, overseeing projects from the brainstorming stage through to successful deployment.
A proven track record of at least 5 years hands-on experience in developing deep learning algorithms.
Experience and knowledge in computer vision and image manipulation algorithms, Object Detection, Segmentation and classification.
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
People management skills
Representative personality
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.
Experience with Jira or similar task management software.
Salary- annual range: 190-210 K
Skills Required
- M.Sc. or equivalent work experience in computer science, electrical engineering, physics, or another quantitative field
- At least 2 years managing and technically leading a team of three or more engineers
- At least 5 years of hands-on experience developing deep learning algorithms
- Experience with computer vision and image manipulation algorithms
- Experience with object detection, segmentation, and classification
- In-depth hands-on knowledge of deep learning fundamentals
- Hands-on experience with deep learning frameworks such as PyTorch
- Strong mathematical aptitude, including probability, vector algebra, and geometry
- Proficiency in Python
- Experience conducting long-term development or research projects in academia or industry
- Proficiency in written and spoken English
- People management and team collaboration skills
- Eligible to work in the United States
- Ph.D.
- Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning
- Basic proficiency in C++
- Experience with Linux
- Experience using Git for source control
- Experience with Jira or similar task management software
What We Do
Imagry develops real-time, mapless autonomous-driving software for public transit, fleet vehicles, buses, shuttles, and passenger cars. Its vision-based AI uses deep learning, visual-spatial perception, and imitation-learning decision systems to support Level 3/4 autonomy without HD maps, LiDAR, or costly sensors. The hardware-agnostic platform integrates with existing vehicle systems and is designed to provide scalable, cost-effective autonomy for automakers and transit operators.
