Software Engineer, OpenShell

NVIDIA

OpenShell Research Engineer translating groundbreaking AI research into secure, production-grade systems. Identifying promising research methods and integrating them into the product.

Posted 7/13/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in transforming complex research into practical products and tools, with a strong focus on user experience and real-world impact. Proficient in evaluating and securing agent systems while collaborating effectively across multidisciplinary teams.

Highest-signal resume keywords

Research EngineeringLLMsAgent HarnessesEvaluation FrameworksAdversarial ML

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentSynthetic Data GenerationPost-TrainingInference InfrastructureOptimization

Soft Skills

Team OrientationCollaborationCommunicationProduct SenseUser Experience Focus

Tools & Technologies

OpenShellMulti-Agent WorkflowsRuntime InfrastructureRed-Team Harnesses

Certifications & Qualifications

MS/PhD in Computer SciencePhysics

Industry Keywords

Agent SafetySecurityEnterprise SystemsDeveloper Workflows

About the role

Key responsibilities & impact

Track the cutting edge: How are agentic systems evolving? You'll follow research in tool use, planning, memory, evaluation, self-improvement, multi-agent workflows, runtime infrastructure, and agent safety/security.
Bridge research and product: Identify research ideas that can meaningfully improve OpenShell and translate them into concrete product opportunities.
Benchmark and adapt: Reproduce and test promising methods from papers, open-source projects, industry work, and internal NVIDIA research.
Build rapid prototypes: Create hands-on proof-of-concepts using OpenShell, including agent harnesses, evaluation loops, self-improving workflows, and runtime-native developer experiences.
Red-team systems: Design evaluation and red-team harnesses that measure agent reliability, usefulness, scalability, safety, security, and developer experience.
Secure the workflow: Help us design secure-by-default workflows for agents operating with tools, code, files, credentials, and enterprise systems.
Partner across teams: Collaborate closely with engineering, product, design, research, solutions, and developer-facing teams to move ideas from prototype to product.

Requirements

What you’ll need

8+ years of professional practical experience in research engineering, software development, or a related technical field
MS/PhD in Computer Science, Physics, or a related field or equivalent experience
A strong background in turning complex research into reusable products, tools, demos, benchmarks, or production systems at scale.
Deep experience in several of the following: LLMs, agent harnesses, multimodal generative models, evaluation frameworks, synthetic data generation, post-training, inference infrastructure/optimization, adversarial ML, or agent safety/security.
Demonstrated ability to drive independent technical investigation: survey relevant work, run experiments, form a clear point of view, and communicate findings clearly.
Strong product sense and care for UX and AX: tools should be intuitive for developers and ergonomic for agents.
A focus on real-world impact: we want research to become enterprise capabilities, reference implementations, developer workflows, or product improvements.
Outstanding team orientation and comfort collaborating across research, engineering, product, design, solutions, and developer-facing teams.

Benefits

Comp & perks

equity
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