Software Engineer: Camera ISP

Tensor is an agentic AI company dedicated to building agentic products that empower individual consumers. 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.

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Tensor is at the forefront of L4 autonomous vehicle technology, pushing the boundaries of what’s possible in self-driving cars. We’re seeking motivated and innovative engineer join our perception team. In this role, you’ll contribute to the research and development of cutting-edge perception system.

Locations

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

Responsibilities

• Develop, optimize, and maintain ISP pipelines for camera systems of autonomous driving.
• Collaborate with hardware teams to integrate and fine-tune ISP algorithms.
• Implement and optimize image processing algorithms, including demosaicing, noise reduction, white balance, HDR processing, etc.
• Analyze and improve image quality metrics such as sharpness, color accuracy, and dynamic range.
• Debug and resolve imaging issues related to ISP software and hardware interactions.
• Stay updated with industry trends in computational photography and imaging technologies.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or related field.
• 3+ years of experience in ISP software development or related fields.
• Proficiency in C/C++ and Python for embedded software development.
• Strong understanding of ISP pipelines, image processing algorithms, and camera sensor technologies.
• Knowledge of computational photography techniques and deep learning applications in imaging.
• Familiarity with hardware-accelerated image processing (e.g., GPU, DSP, FPGA).
• Experience with real-time embedded systems and low-level programming.

Preferences

• MS or PhD in Computer Vision, Machine Learning, Computer Graphics, or a related field, or equivalent professional experience.
• Deep expertise in computer vision and machine learning; stay up-to-date with the latest SOTA in these fields.
• Track record of published research in top-tier computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, or other leading forums.

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.