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Perception Engineer: Machine Learning
- San Jose, Arizona, United States
- San Jose, Arizona, United States
À propos
We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.
Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact.
Locations
San Jose, California, US (Salary Range: $75k—$300k USD)
Barcelona, Catalonia, Spain
Dubai, UAE
Responsibilities
Research, design and implement novel computer vision and deep learning methods on autonomous driving lidar/camera data
Solve difficult problems independently and creatively
Communicate effectively with team members and stakeholders
Qualifications
MS/Ph.D. degree in Computer Science/Robotics/Mechanical Engineering/ Electrical Engineering, or related technical field(or equivalent experience)
Strong curiosity about tackling and solving new real-world problems
Strong background in Computer Vision and Machine Learning
Solid programming skills with c++ and python/torch
Experience with points cloud deep learning project is a big plus
We appreciate your interest in joining Tensor. Tensor is an equal employment opportunity employer, dedicated to fostering a respectful, supportive, and inclusive workplace for all. We do not discriminate against, and strictly prohibit harassment of, any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, military or veteran status, genetic information, or any other characteristic protected by applicable law. Tensor also considers qualified applicants with criminal histories in accordance with applicable laws. We are committed to providing equal opportunities for qualified individuals with disabilities. Tensor is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Designed in California. Available around the world. #J-18808-Ljbffr
Compétences linguistiques
- English
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