Senior Systems Software Engineer, Compute Stack Acceleration

🕒 il y a 17 jours

🏄 California, North Carolina, +1 états de plus – Distant

🏄 California – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote

💵 $184 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

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NVIDIA

Site WebLinkedInTous les Emplois

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

• Lead toolchain, build, code-health, and performance-workflow adoption projects across large software components. • Evaluate and deploy supported GCC and LLVM/Clang toolchains, compiler options, linkers, sysroots, and cross-compilation configurations. • Integrate modern toolchains and workflows into complex build systems and continuous-integration environments. • Establish useful Clang diagnostic builds and targeted sanitizer coverage in partnership with component owners. • Evaluate techniques such as link-time optimization, profile-guided optimization, AutoFDO, and BOLT on representative software. • Use profiling, PMU data, flamegraphs, and binary/source analysis to identify actionable performance and code-quality findings. • Build automation, wrappers, validation scripts, dashboards, and migration helpers where they improve adoption and repeatability. • Measure changes in runtime, code size, build time, launch latency, throughput, quality, or engineering velocity. • Drive complex blockers to the appropriate compiler, runtime, library, infrastructure, or component owner. • Document validated approaches as reusable playbooks for other engineering teams. • Communicate technical results and tradeoffs clearly to engineers and leadership.

🎯 Exigences

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience. • 8+ years of relevant systems software engineering experience. • Strong C and C++ development, debugging, and code-review skills. • Strong Linux systems knowledge and hands-on experience with complex native software stacks. • Practical experience with GCC or LLVM/Clang, linkers, compiler options, and build systems. • Experience working in large, multi-component codebases and CI environments. • Experience with performance profiling, root-cause analysis, and before-and-after validation. • Ability to lead projects with substantial technical and organizational ambiguity. • Excellent written and verbal communication and a record of effective cross-team collaboration.

🏖️ Avantages

• equity • benefits