Perception Engineer: 3D Camera Object Detection

Tensor Auto; San Jose (CA); On-site; USD 75,000 - 300,000; Full time

Benefits offered by this job

Discretionary equity incentive plan

Comprehensive benefits program

Job summary

Tensor is a U.S.-based AI company focused on perception for autonomous driving. We are looking for talented perception algorithm engineers to build a secure BEV detection module for our perception system.

Join our BEV team in San Jose or other offices to shape perception technology used in autonomous vehicles, with a discretionary equity incentive plan and a comprehensive benefits program. You will work on cutting-edge 2D/3D BEV detection and contribute to system-level performance improvements.

Qualifications

• Excellent software design and programming in C++ and Python.
• Hands-on experience with state-of-the-art deep learning algorithms, data structures, and classic algorithms.
• Deep hands-on experience with deep learning for 2D/3D/BEV detection.

Responsibilities

• Developing a BEV detection algorithm.
• Exploring efficient data collection and labeling.
• Improve system performance according to road test feedback.

Skills

C++

Python

Deep Learning

BEV Detection

Data Structures

Job description

Tensor is an American Physical AI company dedicated to building agentic products that empower people. Our flagship product, the Tensor Robocar, is the world’s first personal Robocar and the first AI agentic vehicle — fully autonomous, automotive‑grade, and built for private ownership at scale. Founded in 2016 in Silicon Valley, Tensor is headquartered in San Jose, California, with offices in Barcelona, Singapore, and Dubai. At Tensor, we champion personal AI autonomy and ownership. Our vision is to build a future where everyone owns their own Artificial General Intelligence — a personal AGI that enables more time, freedom, and autonomy. We’re forging an alternative path where AGI serves only you, and is controlled solely by you.

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.

We’re seeking talented and self‑motivated software engineers to join our perception team. Bird Eye View (BEV) object detection is crucial for autonomous driving system. We are looking for highly motivated and passionate perception algorithm engineers to create a secure BEV detection module into our perception system.

Locations

• San Jose, California, US (Salary Range: $75k—$300k USD)
• Barcelona, Catalonia, Spain
• Singapore
• Dubai, UAE

Responsibilities

• Developing a BEV detection algorithm.
• Exploring efficient data collection and labeling.
• Improve system performance according to road test feedback.

Qualifications

• Excellent software design/programming skills in both C++ and Python.
• Deep hands‑on experiences with SOTA deep learning algorithms, data structures and classic algorithms.
• Deep hands‑on experience with deep learning for 2D/3D/BEV detection.

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.