Senior Software Engineer, At Scale Compute Analysis

🕒 il y a 5 mois

🏄 California, Colorado, +2 états de plus – Distant

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💵 $152 000 - $241 500 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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👻 Score fantôme 56%

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🗣️🇺🇸🇬🇧 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

• Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities • Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership • Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work • Build and maintain practical visualizations and lightweight implementations, including ML/DL for classification/prediction, inside existing software workflows • Partner with OS, container, GPU, and systems engineers • Turn telemetry and workload data into clear findings and visuals • Coordinate analyses into tools the team actually uses

🎯 Exigences

• 5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly • BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience • Strong Python and JavaScript • Comfortable being responsible for an analysis end-to-end • Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk) • Shown grasp of core ML concepts • TensorFlow or PyTorch • Linux and HPC / large-scale or performance-sensitive environments • Experience visualizing high-dimensional problems • Collaboration and communication

🏖️ Avantages

• Health care coverage • Dental coverage • Vision coverage • 401(K), including company matching and after tax contributions • Employee Stock Purchase Program (ESPP) • Employee Assistance Program (EAP) • Company paid holidays • Paid sick leave • Vacation leave • Professional time off • Life and disability protection • Equity

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