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What to Expect
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
Research and development of new machine learning & deep learning algorithms for sensors
Write python or C++ code to develop algorithms, analyze data and generate visualizations
Work with hardware engineers and firmware engineers to develop efficient, and tightly integrated features
Contribute to production level software on Tesla platforms to enable various features
What You’ll Bring
Bachelor's Degree in Computer Science, Engineering, or other majors with strong relevant experiences such as ADAS, robotics, signal processing and statistics, or equivalent
Strong python programming skills, familiarity with pyTorch
Familiarity with classical machine learning algorithms; faimiliarity with state-of-the-art deep learning algorithms including CNN, Transformers
Prior experiences with computer vision related real world projects
Demonstration of good understanding of software fundamentals including software design, algorithm development, data structures, code modularity, and maintainability
Strong fundamentals, critical thinking, results-driven, product-oriented mindset, self-driven, good communication skills and great learning capabilities
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
$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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