Software Engineer, AI Inference CoDesign
Tesla
Palo Alto, CA
See who Tesla has hired for this role
See who Tesla has hired for this role
What To Expect
Our team productionizes and experiments with novel ML models for our custom HW- we train and deploy large neural networks for efficient inference on compute-constrained edge devices (CPU / GPU / AI ASIC). The nature of this role is multi-disciplinary - you will work at the intersection of machine learning and systems by building the co-designing ML models and their developing the associated deployment infrastructure that enables the seamless training, deployment, and inference of all neural networks that run at Tesla AI.
What You'll Do
Build robust AI frameworks to lower neural networks to edge devices Build robust AI infrastructure to train and fine-tune networks for Autopilot and Optimus 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 Collaborate with AI scientists and compiler engineers to effectively compress large models to run in low precision Design and implement custom GPU kernels (CUDA / OpenCL) for efficient training and post-processing of network outputs
What You'll Bring
Proficiency with Python and C++, including modern C++ (14/17/20) Proficiency with PyTorch or another machine learning framework Proficiency with training and deploying neural networks for real-world AI Proficiency with computer systems and computer architecture Experience with CUDA
Benefits
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 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 (90 day waiting period) Employee Assistance Program Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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
$140,000 - $390,000/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
Our team productionizes and experiments with novel ML models for our custom HW- we train and deploy large neural networks for efficient inference on compute-constrained edge devices (CPU / GPU / AI ASIC). The nature of this role is multi-disciplinary - you will work at the intersection of machine learning and systems by building the co-designing ML models and their developing the associated deployment infrastructure that enables the seamless training, deployment, and inference of all neural networks that run at Tesla AI.
What You'll Do
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$140,000 - $390,000/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
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Motor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities
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