Senior Applied AI Engineer, Cybersecurity

NVIDIA
United States, California
Workplace: RemoteFull timeUSD 184,000 - 356,500 annuallyFunction: Research & Scientific (R&D)Skills: ["Technical autonomy","Evidence-based decision-making","Technical leadership","Independent judgment","Cross-functional influence"]

Build agent-first AI systems that perform real cyber defense work for NVIDIA’s security operations team. Develop context-aware LLM and agent architectures that reason over security telemetry and organizational context, use security tools, and support investigation and response. Own the full cycle from experimentation through evaluation, optimization, and production operations using MLOps/LLMOps practices, including continuous evaluation, observability, and reliable deployment.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior Applied AI Engineer, Cybersecurity

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build agent-first AI systems that perform real cyber defense work for NVIDIA’s security operations team. Develop context-aware LLM and agent architectures that reason over security telemetry and organizational context, use security tools, and support investigation and response. Own the full cycle from experimentation through evaluation, optimization, and production operations using MLOps/LLMOps practices, including continuous evaluation, observability, and reliable deployment.
Location: United States, California
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Partner with security practitioners to identify high-impact workflows and deliver agentic systems that improve analyst decision-making and accelerate detection, investigation, and response.
  • •Provide technical direction for complex agentic AI initiatives, shaping architecture, goals, and engineering decisions across teams.
  • •Build context-aware agents that analyze security data streams and institutional knowledge, use approved tools, and support increased autonomy based on evidence and controls.
  • •Establish repeatable model and agent evaluations using realistic security environments, curated datasets, analyst ground truth, and task-specific benchmarks, including adversarial testing.
  • •Take AI capabilities from experimentation to production with robust software engineering and MLOps/LLMOps practices, including evaluation, observability, versioning, controlled deployment, and safe rollback.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •8+ years building and shipping AI, machine learning, or intelligent software systems with technical ownership of complex production initiatives.
  • •BS, MS, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Cybersecurity, or related field (or equivalent experience).
  • •Strong software engineering skills, especially Python, with experience building scalable production systems using languages such as TypeScript or C#.
  • •Hands-on experience designing and developing modern AI systems with large language models, retrieval-augmented generation, agentic architectures, and related approaches.
  • •Experience creating AI evaluations and benchmarks using curated datasets, ground truth, task-specific metrics, and MLOps/LLMOps-based experimentation-to-production workflows.
Experience:AIMachine learningMLOps/LLMOpsCybersecuritySecurity operations
Skills:Technical autonomyEvidence-based decision-makingTechnical leadershipIndependent judgmentCross-functional influence
Tech Stack:PythonTypeScriptC#Large language modelsRetrieval-augmented generationAgentic architecturesMLOpsLLMOpsNeMo EvaluatorNeMo GymNeMo Agent ToolkitNVIDIA NIMTriton Inference ServerRAPIDSCUDA

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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