Senior Software Engineer – Accelerated Quantum Chemistry, cuEST

🕒 il y a 1 mois

🏄 California – Distant

info

💵 $184 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of NVIDIA

NVIDIA

10 000+ employés

Fondée en 1993

🏥 Santé

🏭 Fabrication

🤖 Intelligence artificielle

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

Description

• You and your teammates will own every part of the engineering mission of cuEST - from idea to shipped CUDA-X library. • You will architect, implement, optimize, productize, and deploy production-grade GPU solutions for quantum chemistry library primitives in a collaborative environment. • This includes technical leadership of specific code modules and general team-based contribution to engineering projects. • Collaborating across broader engineering, product, and program organizations, you will take the developed products to market with a strong focus on partner and customer engagement. • Engaging with the broader quantum chemistry community, contributing knowledge that helps drive adoption of GPU-accelerated quantum chemistry and carrying new developments from the field back to your teammates to accelerate our work.

🎯 Exigences

• 10+ years of experience in developing high performance numerical methods for scientific computing • 5+ years of experience in developing production-grade quantum chemistry packages • PhD or equivalent experience in computational physics, computational chemistry, computer science, or related technical fields • Expert knowledge of GPU software development and performance optimization • Proficiency in C++, CUDA, and common quantum chemistry tools • Adept with lean team-based software engineering, including familiarity with the use of agentic AI to boost the speed and quality of delivered software products

🏖️ Avantages

• equity • benefits

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