Perception Engineer: Recognition of Road Weather Conditions and Sensing Impact Analysis
tensor autoSan Jose, CA
$75k—$300kAPPLY NOW (opens in a new tab)
Perception Engineer: Recognition of Road Weather Conditions and Sensing Impact Analysis
tensor autoSan Jose, CA
today
Industries
Research and Development in the Physical, Engineering, and Life SciencesSoftware PublishersCustom Computer Programming Services$75k—$300k
APPLY NOW (opens in a new tab)About the role
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. Locations San Jose, California, US (Salary Range: $75k—$300k USD) Barcelona, Catalonia, Spain SingaporeDubai, UAEThe weather team works cross-functionally to develop technologies that ensure safe autonomous driving in all weather conditions. We're seeking skilled data scientists to help us overcome the challenges of adverse weather.
Responsibilities:
Develop perception features to recognize road weather conditions, quantify weather impact on sensing, and identify sensing degradation.
Collaborate across teams to adapt sensor fusion techniques, integrate sensor cleaning system, and implement mitigation strategy to enhance autonomous driving reliability under reduced visibility.
Develop data mining, labeling, training and evaluation pipelines for model adaption in adverse weather conditions.
Conduct tests and simulations in various weather conditions to evaluate system performance and mitigation strategy.
Qualifications:
Master's or PhD in machine learning, computer science, robotics, or a related field.
Experience with computer vision and deep learning.
Understanding of various effects of weather on sensor data.
Excellent communication, strong analytical thinking and problem-solving skills.
Preferences:
Experience with autonomous vehicle technology or robotics.
Experience with machine learning and AI foundation models.
Experience with Python/C++.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.
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JOB OVERVIEW
Salary
$75k—$300k
Experience level
Lead
Location
San Jose, CA
Occupation
Computer and Information Research Scientists
Industry
Research and Development in the Physical, Engineering, and Life Sciences
Posted
today
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