Tesla - Palo Alto, CA

posted 2 months ago

Full-time - Entry Level
Palo Alto, CA
Transportation Equipment Manufacturing

About the position

Join our Self-Driving team to help shape one of the most advanced and widely-deployed computer vision systems in the world. As a key contributor, you will drive innovation in geometric vision, tackling challenges related to both the vehicle dynamics and environmental perception. This role involves developing and refining models for estimating geometric entities using both modern neural network-based and classical vision techniques. You will leverage vast amounts of fleet data for algorithm development and validation, ensuring that the onboard computer vision systems operate reliably across millions of Tesla vehicles worldwide. Additionally, you will create and improve robust sensor calibration systems that perform consistently in complex and unpredictable environments. Collaboration is key in this role, as you will work closely with a high-caliber team dedicated to realizing full autonomy in self-driving technology.

Responsibilities

  • Develop and refine models for estimating geometric entities using modern neural network-based and classical vision techniques.
  • Leverage vast amounts of fleet data for algorithm development and validation.
  • Develop and deploy onboard computer vision systems that operate reliably across millions of Tesla vehicles worldwide.
  • Create and improve robust sensor calibration systems that perform consistently in complex and unpredictable environments.
  • Collaborate closely with a high-caliber team dedicated to realizing full autonomy.

Requirements

  • Proven ability to rapidly prototype and optimize algorithms.
  • Proficiency in writing production-quality code in modern C++.
  • Proficiency in Python is highly desirable.
  • Solid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experience.
  • Expertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting).
  • Familiarity with GPU programming is an advantage.

Nice-to-haves

  • Experience with large-scale mapping and localization.
  • Knowledge of dense 3D modeling techniques.
  • Familiarity with neural rendering techniques.

Benefits

  • Aetna PPO and HSA plans with $0 payroll deduction for medical plans.
  • Family-building, fertility, adoption and surrogacy benefits.
  • Dental and vision plans with options for $0 paycheck contribution.
  • Company Paid HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA.
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA).
  • LGBTQ+ care concierge services.
  • 401(k) with employer match.
  • Employee Stock Purchase Plans.
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance.
  • Employee Assistance Program.
  • Sick and Vacation time (Flex time for salary positions), and Paid Holidays.
  • Back-up childcare and parenting support resources.
  • Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance.
  • Weight Loss and Tobacco Cessation Programs.
  • Tesla Babies program.
  • Commuter benefits.
  • Employee discounts and perks program.
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