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Staff Software Engineer, Maps & Navigation

Salary undisclosed

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Tesla is building the world's best in-car navigation experience and we're looking for motivated Software Engineers that are up to the challenge.
You will implement next generation algorithms on top of large amounts of data from the Tesla fleet. This is a cornerstone on which Navigate on Autopilot and Smart Summon are implemented. In addition, the same data will drive more efficient routing and better turn-by-turn navigation for customers.
The ideal candidate is self-driven, has experience developing high-performance applications and motivated by complex algorithmic problems. Our engineers must bring a principled, data-driven methodology to software development with a passion for improving quality of their products. Flexibility is paramount, as the engineer must learn a wide array of technologies to improve customer experience ranging from route quality and ETA prediction all the way to self-driving capabilities.

Responsibilities
  • Rapidly prototype in-car customer experiences
  • Extract meaningful data from fleet telemetry via automated processes
  • Implement complete features with both client and server footprint
  • Drive your changes end to end from concept to in car drive test
  • Design, code, and debug software on Linux-based embedded platforms and Linux servers
  • Work with a cross-functional team of hardware engineers, application/UI software engineers, QA/Validation, and designers

Requirements
  • Degree in Computer Science, Information Systems, Electrical Engineering or the equivalent in experience
  • Evidence of exceptional achievement in large-scale algorithmic environments
  • Proficient in one of C++, Python, Golang, Scala
  • Experience writing and shipping customer-facing code
  • High standards for code quality, maintainability, and performance
  • Willingness to learn new technologies in any area of the stack: Vehicle Control, Routing/Guidance Algorithms, Server Infrastructure, UI, Embedded Systems
  • Experience with Maps / GIS / Computational Geometry data is a strong plus
  • Experience in Spark, AWS, Kubernetes, Jenkins is a plus
  • Experience in Machine Learning algorithms is a plus

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Account) 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, and other financial benefits
  • 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 to include: 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
    • Expected Compensation

      $120,000 - $252,000/annual salary + cash and stock awards + benefits

      Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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