2 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 enterprise-grade agentic AI systems with multi-agent workflows, tool-using agents, RAG, planning, memory, evaluation, guardrails, policy enforcement, and failure containment.
- Integrate NVIDIA models into cybersecurity detection and response products, including threat triage, investigation agents, remediation workflows, 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 move secure AI systems into 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 risk.
- Preferred qualifications include experience with NVIDIA AI software, LLM red-teaming, AI safety evaluation, adversarial testing, secure agent execution, post-training pipelines, GPU-accelerated safety workflows, and confidential computing.
Benefits
- Competitive base salary of 184,000 USD - 287,500 USD, plus equity and benefits.
- Generous benefits package.
- Applications accepted at least until October 6, 2026.
- This posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.