Software Engineer, Autonomy Foundations, Tesla Bot
Tesla
Software Engineer, Autonomy Foundations, Tesla Bot
| Job Category | AI & Robotics |
|---|---|
| Location | Palo Alto, California |
| Req. ID | 222617 |
| Job Type | Full-time |
Tesla participates in the E-Verify Program
- Write, debug and maintain robust C/C++ software to the entire Tesla Bot software stack; depending on needs and your interests/skills, you might work on code related to our high-frame rate Camera & Vision stack, write GPU kernels, design and implement low memory footprint image compression libraries, implement high-performance inter-process communication data buffers, improve/extend our image & raw data logging/telemetry code, or make our evaluation/replay software more stable and performant
- Optimize hardware resources usage, leverage custom hardware components where appropriate
- Advocate for best coding practices amongst the group, build tools helping engineers to write better code (for instance, performance/memory tracking)
- Generalize software frameworks when necessary while keeping in mind that too much abstraction can sometimes become a bottleneck
- Experience programming C/C++ software, including modern C/C++ (C++14/17/20)
- Experience or familiarity with Computer Vision, Machine Learning & related software concepts a plus
- Experience with performant software design, object-oriented C++, compiler design and/or hardcore lower-level C code a plus, but preferred
- Proficient developing software on a Linux host, for embedded Linux targets (cross-compilation, etc.) a plus
- Experience with at least one of the following preferred: imaging software, Cuda/OpenCL, SIMD, multithreading, Linux system software (posix etc.), & computer vision
- Bachelor's degree in Computer Science, Physics, Computer Engineering, Electrical Engineering, proof of exceptional skills in related fields with practical software engineering experience, or equivalent experience
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
$120,000 - $318,000/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.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
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