Software Engineer, OpenShell

NVIDIA

Software Engineer developing secure sandbox runtimes and distributed systems platform for AI at NVIDIA. Collaborating with the OpenShell team to enable autonomous agents.

Posted 7/17/2026full-timeRemote • California • 🇺🇸 United StatesSeniorLead💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in distributed systems and network security, with a strong focus on building and maintaining reliable platform components and observability tools. Proficient in systems programming and managing containerized workloads, ensuring secure inter-service communication and effective operational practices.

Highest-signal resume keywords

Distributed Systems ExpertiseNetwork Security ImplementationSystems Programming ProficiencyKubernetes ManagementGRPC and Protobuf Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Systems ProgrammingNetwork Security FeaturesGRPC ContractsMTLS ImplementationContainer/Sandbox InternalsReconciliation LoopsStructured LoggingDistributed TracingAsync RuntimesCrash Recovery Design

Tools & Technologies

KubernetesCLI ToolsRelease AutomationObservability Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Electrical Engineering

Industry Keywords

Control PlanesState DivergenceProcess LifecycleNetwork NamespacesMachine-to-Machine APIs

Tech Stack

Tools & technologies

Distributed SystemsGRPCKubernetes

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Equity
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