Sensing Software Engineer, Machine Learning
Job Category | Engineering & Information Technology |
---|---|
Location | PALO ALTO, California |
Req. ID | 219891 |
Job Type | Full-time |
Tesla participates in the E-Verify Program
The
Tesla Sensing Team is looking for a sensing software engineer with expertise in
sensing machine learning algorithms. The person in this role will need to be
familiar with and has prior experience of machine learning and deep learning
algorithms, proficient with programming and software engineering fundamentals,
and work with hardware engineers and firmware engineers to develop efficient,
and tightly integrated features. The candidate is also expected to be able to
learn and adapt quickly to the fast-paced environment, get hands dirty in the
lab or in the car for data collection and analysis, algorithm validation when
needed to, and use it to root cause issues, and propose solutions.
What You’ll Do
What You’ll Bring
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$104,000 – $348,000/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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