Software Engineer/ Generalist/ AI Inference
Tesla
New York, New York
software
engineer
runtime
ai
ai
runtime
software
programming
c++
hardware
engineering
insurance
engineer
November 12, 2024
Tesla
New York, New York
$104000-360000/YEAR
What To Expect
As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world for Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and runtime running neural networks in millions of Tesla vehicles and Optimus, collaborating closely with the AI Engineers and Hardware Engineers. 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. You will develop system tools to benchmark, characterize, and optimize the latency and throughput of AI workloads on the FSD chip. The inference stack development is purpose-driven: deployment and analysis of production models informs the team's direction, and the team's work immediately impacts performance and the ability to deploy more and more complex models. With a cutting-edge co-designed runtime and MLIR compiler architecture, and full control of the hardware, the runtime enables extremely efficient use of features traditionally hidden behind layers of abstractions. What You'll Do Write, debug and maintain robust software for Autopilot and Humanoid robot AI inference (Export / Compiler / Runtime) stackWork with AI/compiler/OS/driver teams to enable efficient execution of the AI ModelsLow level systems programming including (not limited to) - GPU kernels, asynchronous / multithreaded programming, etc. What You'll Bring Proficient C/C++ programming C/C++ including modern C/C++ (C++14/17/20)Basic Python proficiencyParallel programming with CUDA, OpenCL, or SIMD, with previous experience with custom ASIC / hardware accelerator chips, is a plus.Familiarity with ML runtimes, compilers, or frameworks is a plus. (e.g. PJRT, MLIR, XLA, TensorRT, LLVM, JAX, TVM)Bachelor's Degree in Computer Science, Physics, Computer Engineering, Electrical Engineering or proof of exceptional skills in related fields with practical software engineering experience 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) 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
Original job Software Engineer/ Runtime/ AI Inference posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world for Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and runtime running neural networks in millions of Tesla vehicles and Optimus, collaborating closely with the AI Engineers and Hardware Engineers. 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. You will develop system tools to benchmark, characterize, and optimize the latency and throughput of AI workloads on the FSD chip. The inference stack development is purpose-driven: deployment and analysis of production models informs the team's direction, and the team's work immediately impacts performance and the ability to deploy more and more complex models. With a cutting-edge co-designed runtime and MLIR compiler architecture, and full control of the hardware, the runtime enables extremely efficient use of features traditionally hidden behind layers of abstractions. What You'll Do Write, debug and maintain robust software for Autopilot and Humanoid robot AI inference (Export / Compiler / Runtime) stackWork with AI/compiler/OS/driver teams to enable efficient execution of the AI ModelsLow level systems programming including (not limited to) - GPU kernels, asynchronous / multithreaded programming, etc. What You'll Bring Proficient C/C++ programming C/C++ including modern C/C++ (C++14/17/20)Basic Python proficiencyParallel programming with CUDA, OpenCL, or SIMD, with previous experience with custom ASIC / hardware accelerator chips, is a plus.Familiarity with ML runtimes, compilers, or frameworks is a plus. (e.g. PJRT, MLIR, XLA, TensorRT, LLVM, JAX, TVM)Bachelor's Degree in Computer Science, Physics, Computer Engineering, Electrical Engineering or proof of exceptional skills in related fields with practical software engineering experience 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) 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
Original job Software Engineer/ Runtime/ AI Inference posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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