Software Engineer, OpenShell

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💻 Full-stack Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Eligible for equity • Health insurance • 401(k) matching