Senior System Software Engineer – GPU Power Management

🕒 il y a 1 mois

🏄 California, Texas, +1 états de plus – Distant

infoinfo

💵 $224 000 - $431 250 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de NVIDIA, pas via un site d'emploi

Repérée par Remote Rocketship il y a 1 mois

Toujours ouverte sur le site de NVIDIA. Vérifiée il y a 8 heures.

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

• Architect, build, implement, and debug GPU power- and performance-management software, with particular emphasis on P-state management and DVFS • Develop real-time controllers, policies, and mechanisms that dynamically optimize GPU performance, power, thermals, and energy efficiency under demanding data-center workloads • Drive features across the full product lifecycle: requirements, architecture, implementation, pre-silicon validation, silicon bring-up, productization, and production support • Collaborate with GPU architects and hardware designers to define hardware-software interfaces and influence the power-management capabilities of next-generation processors • Analyze complex interactions among workloads, clocks, voltages, power limits, thermals, telemetry, and system-level policies • Lead the investigation and resolution of complex power, performance, stability, and reliability issues spanning firmware, drivers, hardware, and platform software • Develop validation strategies and automation for functional correctness, transition latency, performance-per-watt, and robustness across operating conditions • Build clear architecture, interface, and compose specifications for new power-management features • Partner with geographically distributed architecture, ASIC, firmware, driver, validation, platform, and data-center systems teams

🎯 Exigences

• BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field—or equivalent experience • At least 12+ years of extensive industry experience crafting system software, embedded firmware, device drivers, or other hardware-related production software • Strong programming skills in C, including experience developing, debugging, and maintaining complex low-level software • Deep understanding of operating-system fundamentals, device-driver architecture, embedded or real-time software, concurrency, interrupt handling, and hardware programming • Experience interpreting hardware specifications and developing software interfaces for registers, telemetry, interrupts, and control mechanisms • Strong understanding of computer architecture and hardware-software interactions • Proven ability to independently debug complex problems across multiple software and hardware layers • Excellent written and verbal communication skills, with a track record of working effectively across organizational and geographic boundaries • Hands-on experience with GPU, CPU, accelerator, or SoC power and performance management • Background with crafting or implementing P-state selection, DVFS, clock-control, voltage-control, power-capping, thermal-management, throttling, or workload-aware control policies • Experience developing real-time feedback controllers, including reasoning about stability, responsiveness, hysteresis, latency, and noisy telemetry • Understanding of electrical and platform considerations such as voltage-frequency relationships, transient power, thermal limits, power delivery, and system-level power budgets

🏖️ Avantages

• Equity • Benefits

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