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Senior/Staff Software Engineer (Sim/Eval)

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Simulation and Infrastructure
Full-Time
San Jose, California, US
Singapore
Dubai, UAE
Barcelona, Spain
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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.

Tensor is at the forefront of L4 autonomous vehicle technology, pushing the boundaries of what’s possible in self-driving cars. Our simulation/evaluation org plays a crucial role in accelerating development and evaluation of advanced algorithms that power the future of automobile.

We’re seeking talented, motivated and experienced software engineers to join our simulation/evaluation org. In this role, you’ll contribute to the development of cutting-edge simulation environments that help train and validate our self-driving car systems.

Locations

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

Responsibilities

  • Design, develop and optimize simulation software for autonomous vehicles
  • Identify simulation realism gaps and priorities with data-driven approaches
  • Develop algorithms, tooling, and integrate machine learning models to improve simulation realism
  • Collaborate with AI researchers, data scientists and hardware-in-the-loop team to improve simulation precision and recall
  • Leading cross-functional projects to build products to enhance simulation realism, or offboard discovery and evaluation platforms

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or related field
  • 5+ years of experience in software development, preferably in simulation
  • Strong programming skills in C++ and Python
  • Experiences of designing and developing large scale distributed system, data ETL pipeline, and using SQL/No-SQL databases
  • Strong analytical thinking and problem-solving skills
  • Excellent communication, and experiences leading cross-functional projects

Preferences

  • Experience with autonomous vehicle technology or robotics
  • Familiarity with ROS or similar robotics middleware
  • Hands-on experiences of machine learning based application

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.