Software Engineer, AI Inference Co Design

Software Engineer, AI Inference Co-design

Join to apply for the Software Engineer, AI Inference Co-design role at Tesla

Software Engineer, AI Inference Co-design

Join to apply for the Software Engineer, AI Inference Co-design role at Tesla

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What To Expect
The AI inference co-design team’s goal is to take research models and make them run efficiently on our AI-ASIC to power real-time inference for Autopilot and Optimus programs. This unique role lies at the intersection of AI research, compiler development, kernel optimization, math and HW design. You will work extensively with AI engineers and come up with novel techniques to quantize models, improve precision and explore non-standard alternate architectures. You will be developing optimized micro kernels using a cutting-edge MLIR compiler and solve the performance bottlenecks needed to achieve real-time latency needed for self-driving and humanoid robots. You will work closely with the HW team and bring state-of-the-art HW architecture techniques to our next generation HW SoCs.
What You'll Do

Research and implement state-of-the-art machine learning techniques to achieve high performance on our edge hardware

Optimize bottlenecks in the inference flow, make precision/performance tradeoff decisions and figure out novel techniques to improve hardware utilization and throughput

Implement/improve highly performant micro kernels for Tesla’s AI ASIC

Work with AI teams to design edge friendly neural network architectures

Collect extensive performance benchmarks (latency, throughput, power) and work with HW teams to shape the next generation of inference hardware, balancing performance with versatility

Experiment with numerical methods and alternative architectures

Collaborate with the compiler infrastructure for programmability and performance

What You'll Bring

Degree in Engineering, Computer Science or equivalent in experience and evidence of exceptional ability

Proficiency with Python and C++, including modern C++ (14/17/20)

Experience with AI networks, such as CNNs, transformers, and diffusion model architectures, and their performance characteristics

Understanding of GPU, SIMD, multithreading and/or other accelerators with vectorized instructions

Exposure to computer architecture and chip architecture/micro-architecture

Specialized experience in one or more of the following machine learning/deep learning domains: Model compression, hardware aware model optimizations, hardware accelerators architecture, GPU/ASIC architecture, machine learning compilers, high performance computing, performance optimizations, numerics and SW/HW co-design

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:

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)

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
$132,000 - $330,000/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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Motor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities

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