Develop and integrate deep-learning computer vision and perception algorithms for autonomous vehicles. Responsibilities include managing data pipelines, designing and optimizing neural networks, defining performance metrics, leading long-term projects, communicating results, and aligning algorithms with product needs. The role requires strong computer vision, deep learning, mathematics, Python, and PyTorch expertise, with C++, Linux, Git, and research publications advantageous.
Description
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
Imagry San Jose, California, USA Office
San Jose, United States
Similar Jobs
eCommerce • Fashion • Retail • Sales • Wearables • Design
Supports store success through customer service, cash-wrap and POS operations, shipment processing, stockroom organization, replenishment, visual merchandising, and sales-floor assistance. Acts as a brand ambassador, promotes products and gift cards, captures customer information, maintains housekeeping standards, and follows loss-prevention policies. Requires prior retail experience, strong communication and organizational skills, flexibility for retail schedules, and ability to lift up to 50 pounds occasionally.
Top Skills:
InternetIpadLaptopMobile PosPos SystemsWalkie-Talkie
Cloud • Information Technology • Machine Learning
Develops and manages Primavera P6 master construction schedules for hyperscale data center projects. Coordinates with construction, engineering, operations, and trade teams; conducts schedule risk, critical path, and progress reviews; validates contractor performance through site visits; produces forecasts and reports; and develops recovery plans, corrective actions, and what-if scenarios for project leadership and stakeholders.
Top Skills:
MS OfficeMicrosoft ProjectPrimavera P6Smartsheet
Fintech • Payments • Financial Services
Own full-cycle recruiting for G&A functions across North America, including Finance, Legal, and compliance. Build passive-talent pipelines, map markets, provide data-driven hiring insights, advise senior leaders, and partner cross-functionally to solve hiring challenges. Mentor recruiting teammates and improve processes while maintaining a high bar for candidate experience and professionalism.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
