Perception Engineer: Scene Understanding

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

Job summary

Tensor is an American AI company building agentic products for autonomous driving, with a flagship Robocar platform and a global presence. The team seeks software engineers to advance perception systems that fuse LiDAR, cameras, radar, and weather data into robust scene understanding modules.

The role emphasizes production-grade training and deployment of deep learning models, proficiency in Python/C++, and collaboration across engineering, product, and operations to scale performance globally.

Qualifications

• Master’s degree or higher in Computer Science, Automation, Mathematics, or a related technical field.
• 2+ years of experience in developing perception systems for autonomous driving, with expertise in multi-sensor and multi-modal data fusion.
• Hands‑on experience with training, optimizing, and deploying deep learning models in production environments.
• Proficiency in Python and/or C++, with deep learning frameworks (e.g., TensorFlow, PyTorch).

Responsibilities

• Develop and maintain the scene understanding module by integrating multi-sensor inputs (LiDAR, cameras, radar, weather, etc.) to extract critical perception information for autonomous driving systems.
• Design, implement, test, evaluate the perception system to continuously improve perception performance.
• Responsible for the integration, acceleration, and deployment of the scene understanding module to production environments, ensuring high efficiency and scalability.
• Cross-functional collaboration with engineering, product, and operations teams to ensure seamless integration and optimal performance of the scene understanding module.

Skills

Python

C++

Deep learning

Multi-sensor fusion

TensorFlow

PyTorch

Education

Master's degree or higher in Computer Science/Automation/Mathematics

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.

Locations

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

Responsibilities

• Develop and maintain the scene understanding module by integrating multi-sensor inputs (LiDAR, cameras, radar, weather, etc.) to extract critical perception information for autonomous driving systems.
• Design, implement, test, evaluate the perception system to continuously improve perception performance.
• Responsible for the integration, acceleration, and deployment of the scene understanding module to production environments, ensuring high efficiency and scalability.
• Cross-functional collaboration with engineering, product, and operations teams to ensure seamless integration and optimal performance of the scene understanding module.

Qualifications

• Master’s degree or higher in Computer Science, Automation, Mathematics, or a related technical field.
• 2+ years of experience in developing perception systems for autonomous driving, with expertise in multi-sensor and multi-modal data fusion.
• Hands‑on experience with training, optimizing, and deploying deep learning models in production environments.
• Proficiency in Python and/or C++, with deep expertise in at least one deep learning framework (e.g., TensorFlow, PyTorch).
• Strong communication skills, with a proven ability to collaborate effectively in cross‑disciplinary teams.
• Ability to manage multiple priorities in a fast‑paced, dynamic environment.

Preferences

• Demonstrated achievements in top‑tier conferences or journals, or proven contributions to leading benchmark projects.
• Passion for autonomous vehicles, artificial intelligence, and advancing intelligent transportation systems.

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.