Software Engineer, OpenShell

🕒 il y a 20 jours

🏄 California – Distant

🏄 California – Remote

💵 $184 000 - $287 500 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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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

• Work across the full stack of a distributed systems platform, from crafting gRPC contracts to building secure sandbox runtimes. • Implement and harden network security features, including policy enforcement, L4/L7 proxies, and secure inter-service communication using mTLS. • Develop core platform components such as inference routing, ensuring model provider adapters, credential management, and protocol translation integrate seamlessly with the sandbox and gateway. • Build reliable configuration and control plane systems that handle state divergence, implement reconciliation loops, and support safe merging and hot-reloading policies. • Own the operability experience by creating effective CLI tools, managing release automation, and instrumenting all systems for observability with structured logging and distributed tracing.

🎯 Exigences

• Minimum of a Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. • 8+ years of meaningful experience. • Proficiency in systems programming, including building and debugging long-running services, async runtimes, and handling OS-level integration. • Deep knowledge of distributed systems/control planes, including reasoning about state divergence, building reconciliation loops, and designing crash recovery paths. • Experience with Container/Sandbox Internals, managing isolated workloads, process lifecycle, capabilities, and network namespaces. • Familiarity with gRPC and Protobuf, including crafting machine-to-machine APIs with clean streaming semantics and version safety. • Experience operating and extending workloads on Kubernetes, including working with compute drivers, image management, and detailed debugging. • Ability to secure inter-service communication using mTLS, gateway registration flows, and non-browser identity verification. • Proficiency in instrumenting systems with structured logging, health checks, and distributed tracing for production observability.

🏖️ Avantages

• Equity • Benefits