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Job Location: Palo Alto, CA
Job Detail:
What to Expect You will be part of a team of computer vision experts that research, design, implement, optimize, and deploy neural networks and computer vision algorithms that advance the state of the art in perception for autonomous driving. What You’ll Do Train neural networks for autonomous driving tasks, such as object detection, pose estimation, depth estimation, keypoint detection & tracking, SLAM, etc.
- Participate in the complete computer vision task life cycle: develop a new task or neural architecture, optimize it for execution on our in-vehicle compute platform, deploy it to a development build, work with peer engineering teams to integrate it into our planning and controls stack, and validate its safety with our QA team.
- Stay abreast of advances in machine learning, particularly in the areas of object detection, object tracking, depth estimation, SLAM, neural radiance fields (NeRF). What You’ll Bring Strong experience with Python, C++, and software engineering best practices.
- An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.
- Fluency with common neural network architectures for computer vision.
- Expertise in one of these areas: object detection, object tracking, pose estimation, depth estimation, multi-view stereo architectures, neural radiance fields (NeRF), video networks, keypoint detection & tracking, SLAM.
- Experience with PyTorch, or another major deep learning framework such as TensorFlow.
- Experience with data manipulation tools including jupyter notebooks, numpy, scipy, matplotlib, scikit-learn, Python & Bash scripting, Linux environment.
- (bonus) Experience with SIMD/SIMT parallelism, GPU programming, multithreaded programming.
- (bonus) Comfortable working in a shared cluster environment (e.g. Slurm, network filesystems).
- (bonus) Record of driving research projects from start to end, including conception, experimentation, iteration, and integration into a working product.
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
$116,000 – $360,000/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.
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