6 days ago
Base Salary
$184k - $288k/yr
Responsibilities
- Lead strategic agentic AI partner engagements from discovery and architecture through PoC, production readiness, rollout, and scale.
- Build production-grade agentic AI systems with multi-agent workflows, tool-using agents, RAG, planning, memory, evaluation, guardrails, policy enforcement, and failure containment.
- Partner with security ISVs to integrate NVIDIA models into detection and response products, including threat triage, investigation, remediation, natural-language-to-query, analyst automation, PII handling, and content safety.
- Architect secure and confidential AI deployments using NVIDIA Confidential Computing, GPU attestation, KMS integration, protected infrastructure, air-gapped patterns, and partner key-management workflows.
- Create PoCs, benchmarks, reference architectures, reusable blueprints, field guidance, and product feedback to help secure AI systems reach production.
Requirements
- BS, MS, or PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
- 8+ years of experience in engineering, solutions architecture, applied ML, enterprise software, or technical deployment.
- Experience leading AI, ML, distributed systems, or enterprise software projects from prototype to production.
- Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production or production-like environments.
- Depth in areas such as AI/LLM security, enterprise cybersecurity, trust and safety, confidential computing, secure AI infrastructure, model customization, post-training, or model evaluation.
- Strong Python and Linux skills and experience with PyTorch, TensorFlow, or similar frameworks.
- Working knowledge of prompt injection, jailbreaks, tool-based data exfiltration, unsafe tool invocation, and model or skill supply-chain risks.
- Preferred experience with NVIDIA AI software, LLM red-teaming, AI safety evaluation, adversarial testing, prompt-injection defense, policy enforcement, secure agent execution, confidential computing, post-training pipelines, GPU-accelerated safety and security workflows, architecture reviews, workshops, whitepapers, or reference architectures.
Benefits
- Competitive base salary of USD 184,000–287,500, plus eligibility for equity and benefits.
- Generous benefits package.
- Applications accepted at least until September 1, 2026.
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.