Site Lead — San Jose, CA

Position: Site Lead -Deep learning and Perception Engineer

Position E-mail: ••••••••

Location: San Jose, Ca On--Site

kGyJKE is looking for an experienced and capable Site Lead, coming from Deep learning and Perception Engineering .The Site lead 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, they will work hands-on to research and implement innovative features using state-of-the-art deep learning methods.

The site lead will manage an R&D site of 13 engineers. They will be the tech-focal point to all of them, a guide, a mentor.

This is a unique opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, lead an R&D Site in the autonomous vehicle industry.

Responsibilities:

Manage and technically lead an R&D Site, 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 10 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: 230K-250 K