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Software Engineer: System Performance for Adverse Weather Adaption

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Onsite

Software Engineer: System Performance for Adverse Weather Adaption

Tensor Auto

Software Engineer: System Performance for Adverse Weather Adaption

Skills

Deep LearningData ScienceMachine Learning

3 months ago

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Important information


Contract type:

Permanent

Location:

San Jose, CA, USA

Work mode:

Onsite

Published on:

8 August 2026

What they need


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.

‍

The 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.

Locations

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

Responsibilities

  • Monitor, analyze, and optimize the performance of autonomous driving systems under adverse weather conditions.
  • Design and run simulations and real-world tests to evaluate system performance under various adverse weather scenarios.
  • Develop and refine algorithms or machine learning models to enforce weather specific restricted Operational Design Domains (ODD).
  • Work closely with autonomous driving systems, system engineering and data science teams to integrate weather-related degrading profile and optimize the overall system performance.

Qualifications

  • Master’s or PhD in machine learning, computer science, robotics, or a related field.
  • Experience with sensor fusion and perception for autonomous vehicles or robotics.
  • Experience or a strong interest in developing solutions for adverse weather scenarios, such as heavy rain, snow, or fog.
  • Excellent communication, strong analytical thinking and problem solving skills.

Preferences

  • Experience with autonomous vehicle technology or robotics.
  • Experience in software engineering for simulation and evaluation.
  • Experience with machine learning and deep learning.

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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