Sr. Software Engineer, AI Inference

Key Skills

Aartificial intelligence, C++, C++17 Programming, Computer Vision (CV), CUDA/GPU programming, Deep Learning, Machine learning techniques, Neural Networks, OpenCL, Python Programming, PyTorch, Software Development, TensorFlow

Job Description

What to Expect

As an AI Inference Software Engineer within the Autonomy group, you will have the opportunity to fine-tune, deploy, and optimize large neural networks for efficient inference on heterogenous edge devices (CPU/GPU/AI ASIC). The nature of the role is multi-disciplinary - you will be working at the intersection of machine learning and systems. You will build the frameworks and infrastructure that enable the seamless deployment, integration, and inference of all neural networks that run on Autopilot and the Humanoid Robot. You will develop system tools to benchmark, characterize, and optimize the latency and throughput of AI workloads on the FSD chip.

What You’ll Do

• Build robust AI frameworks to lower neural networks (PyTorch) to edge devices. 
• Build robust AI infrastructure to train and fine-tune networks for Autopilot and the Humanoid Robot on large GPU clusters. 
• Deploy state-of-the-art neural networks on heterogenous compute, including Tesla’s in-house AI ASIC, with an aim to maximize network performance while minimizing latency.
• Closely collaborate with AI scientists and hardware teams to effectively quantize, prune, and run inference in low precision.
• Design and implement custom GPU kernels (OpenCL/CUDA) for efficient training and post-processing of network outputs. 

What You’ll Bring

• Proficiency with Python and C++, including modern C++ (14/17/20). 
• Experience with PyTorch, TensorFlow or other machine learning frameworks. 
• Experience with Machine Learning, Deep Learning, and Computer Vision. 
• Experience with Model Fine-Tuning: Quantization Aware Training, Compression, Pruning. 
• Experience with training and deploying neural networks for real-world AI. 
• Experience with Computer Systems/Architecture. 
• Experience with CUDA and/or OpenCL. 

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 - $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.

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.