Software Engineer, Generalist, AI Inference

What to Expect

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.

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

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 :

2 medical plan options with $0 payroll deduction

Expected Compensation

$118,000 - $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.

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