Software Engineer, Generalist, AI Inference
Tesla
Software Engineer, Generalist, AI Inference
Job Description
Our team productionalizes ML models - 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 ML frameworks and infrastructure that enable the seamless training, deployment, and inference of all neural networks that run on Autopilot and Optimus.
Locations
- Palo Alto, California, United States
Salary
118,000 - 390,000 USD / yearly
Estimated Salary Rangehigh confidence
180,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency with Python and C++, including modern C++ (14/17/20)intermediate
- Proficiency with PyTorch or another machine learning frameworkintermediate
- Proficiency with training and deploying neural networks for real-world AIintermediate
- Proficiency with computer systems and computer architectureintermediate
- Experience with CUDAintermediate
Required Qualifications
- Proficiency with Python and C++, including modern C++ (14/17/20) (experience)
- Proficiency with PyTorch or another machine learning framework (experience)
- Proficiency with training and deploying neural networks for real-world AI (experience)
- Proficiency with computer systems and computer architecture (experience)
- Experience with CUDA (experience)
Responsibilities
- 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
Benefits
- general: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- general: Family-building, fertility, adoption and surrogacy benefits
- general: Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- general: Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- general: Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- general: 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- general: Company paid Basic Life, AD&D, short-term and long-term disability insurance
- general: Employee Assistance Program
- general: Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- general: Back-up childcare and parenting support resources
- general: Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- general: Weight Loss and Tobacco Cessation Programs
- general: Tesla Babies program
- general: Commuter benefits
- general: Employee discounts and perks program
Tags & Categories
Software Engineer, Generalist, AI Inference
Tesla
Software Engineer, Generalist, AI Inference
Job Description
Our team productionalizes ML models - 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 ML frameworks and infrastructure that enable the seamless training, deployment, and inference of all neural networks that run on Autopilot and Optimus.
Locations
- Palo Alto, California, United States
Salary
118,000 - 390,000 USD / yearly
Estimated Salary Rangehigh confidence
180,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency with Python and C++, including modern C++ (14/17/20)intermediate
- Proficiency with PyTorch or another machine learning frameworkintermediate
- Proficiency with training and deploying neural networks for real-world AIintermediate
- Proficiency with computer systems and computer architectureintermediate
- Experience with CUDAintermediate
Required Qualifications
- Proficiency with Python and C++, including modern C++ (14/17/20) (experience)
- Proficiency with PyTorch or another machine learning framework (experience)
- Proficiency with training and deploying neural networks for real-world AI (experience)
- Proficiency with computer systems and computer architecture (experience)
- Experience with CUDA (experience)
Responsibilities
- 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
Benefits
- general: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- general: Family-building, fertility, adoption and surrogacy benefits
- general: Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- general: Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- general: Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- general: 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- general: Company paid Basic Life, AD&D, short-term and long-term disability insurance
- general: Employee Assistance Program
- general: Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- general: Back-up childcare and parenting support resources
- general: Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- general: Weight Loss and Tobacco Cessation Programs
- general: Tesla Babies program
- general: Commuter benefits
- general: Employee discounts and perks program
Tags & Categories