Senior Deep Learning Engineer, Computer Vision
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 report to the Perception Team Leader in San Jose.
Responsibilities:
Cooperate with the 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 model training.
- Design and optimize deep neural networks ( Requires innovative feature engineering).
- Assume 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.
Requirements:
- M.Sc. or equivalent work experience in CS, EE, Physics, or other quantitative fields from a leading university. Ph.D. – Advantage
- A proven track record of at least 3 years of 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 - Able to foster 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
Skills Required
- M.Sc. or equivalent work experience in computer science, electrical engineering, physics, or another quantitative field
- At least 3 years of hands-on experience developing deep learning algorithms
- Experience with computer vision and image processing, including classification, object detection, 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, including probability, vector algebra, and geometry
- Proficiency in Python programming
- Experience conducting long-term development or research projects in academia or industry
- Proficiency in written and spoken English
- Ability to collaborate effectively across teams and maintain a cooperative work environment
- 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 with Git source control
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.
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