Senior ML Engineer - Autonomous Driving Prediction

NVIDIA Corporation; Santa Clara (CA); In loco; USD 224.000 - 357.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Benefits

Descrizione del lavoro

NVIDIA Corporation in California is seeking an extraordinary Senior Engineer to develop and productize NVIDIA’s autonomous driving solutions. As a member of our prediction team, you will design end-to-end prediction modules for multi-modal road participants with a focus on robustness and efficiency.

You will leverage DL models (primarily PyTorch), collaborate with data teams to improve accuracy, and ensure products meet safety and latency requirements.

Competenze

• PhD with 6+ years, MS with 10+ years, or BS with 12+ years in CS/CE or related field.
• Hands-on experience in developing deep learning models and algorithms; proficiency with deep learning frameworks (e.g., PyTorch).
• Experience in data-driven development and collaboration with data and ground-truth teams.
• Strong programming skills in Python and/or C++.
• Outstanding communication and teamwork abilities.

Mansioni

• Design end-to-end prediction solutions for the AV stack using state-of-the-art ML techniques across diverse environments.
• Research and develop innovative DL models, including end-to-end systems.
• Enable generalizable approaches to support diverse ODDs and country/region expansion.
• Collaborate with data collection and labeling teams to maximize data value for model accuracy.
• Productize solutions by meeting safety, latency, and SW robustness requirements.

Conoscenze

Deep learning

Python

C++

PyTorch

Data-driven development

Problem solving

Communication

Teamwork

Formazione

PhD

MS

BS

Descrizione del lavoro

NVIDIA Corporation in California is seeking an extraordinary Senior Engineer to develop and productize NVIDIA’s autonomous driving solutions. As a member of our prediction team, you will design end-to-end prediction modules for multi-modal road participants with a focus on robustness and efficiency.

You will leverage DL models (primarily PyTorch), collaborate with data teams to improve accuracy, and ensure products meet safety and latency requirements.