$140,000 - $390,000 yearly
Tesla
Palo Alto, CA
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.
The Role
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...