Computer Vision Engineer

Imagry; San Jose (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Imagry seeks a Senior Deep Learning Engineer to advance perception algorithms for autonomous driving. You will join the R&D team in San Jose, collaborating with engineers, drivers, and test teams to push deep-vision models from research to road deployment.

The role requires 3+ years of DL experience, CV expertise, and strong Python/PyTorch skills. On-site work in San Jose, reporting to the Perception Team Leader, with opportunities to shape algorithms and product outcomes.

Qualifications

• 3+ years hands-on experience in developing deep learning algorithms.
• Experience in computer vision algorithms including classification, object detection, or segmentation.
• Strong fundamentals in deep learning and mathematics.
• Proficiency in Python; PyTorch expertise.
• English written and spoken proficiency.

Responsibilities

• Collaborate with SJ site Deep Learning Engineers, Safety Drivers & Test Engineers.
• Work with cross-functional teams across the company in a global, multi-time-zone environment.
• Supervise data pipelines from collection through annotation to model training.
• Design and optimize deep neural networks with innovative feature engineering.
• Take end-to-end responsibility for medium to long-term projects.
• Devise and implement performance metrics.
• Communicate, present, and visualize results.
• Align algorithms with product needs.

Skills

English proficiency

Mathematical aptitude

Team player

Education

M.Sc. or equivalent in CS/EE/Physics

Ph.D. – Advantage

Tools

PyTorch

Python

Linux

Git

C

Job description

++Senior Deep Learning Engineer, Computer Vision++

[e-mail]

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