# Senior Product Manager - NVIDIA Sentry and DOCA Security at NVIDIA

NVIDIA is hiring a Senior Product Manager - NVIDIA Sentry and DOCA Security in Santa Clara, United States. It pays $208k-$328k a year and Level rates it Works on AI ●●●○; you can [apply on NVIDIA](https://jobsbylevel.com/go/b640461c-beaf-4059-a3f2-b5f868da2a58?utm_medium=ai-agent).

AI Level 3, AI centrality 74 out of 100. US, CA, Santa Clara.

## Details

- Company: [NVIDIA](https://jobsbylevel.com/companies/nvidia)
- AI level: AI Level 3 (score 74 out of 100)
- Location: US, CA, Santa Clara
- Salary: $208k-$328k
- Posted: November 14, 2026
- Apply: https://jobsbylevel.com/go/b640461c-beaf-4059-a3f2-b5f868da2a58?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-product-manager-nvidia-sentry-and-doca-security-at-nvidia-d8706d

## Prepare for this job

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## Description

At NVIDIA, you’ll join a diverse, motivated community united by curiosity, creativity, and a shared mission to change the world. Our DOCA Product Group leads software strategy for ConnectX and BlueField, which are cornerstones of NVIDIA’s data center and AI strategy. Together, we’re building the networking and security backbone of tomorrow’s intelligent systems. NVIDIA Sentry is a security framework developed on DOCA and operates on BlueField DPUs. It forms a key element of the NVIDIA OpenShell reference architecture for secure AI agents. The system enforces zero-trust controls out-of-band, separated from the host. This ensures visibility and control remain intact even if an agent breaks out of its sandbox. In this role, you’ll help build how AI agents and AI factories are secured at runtime. As agents gain autonomy, take actions, and call tools across the AI factory, security can no longer live only inside the software it protects. You’ll guide the product definition of NVIDIA Sentry and DOCA security features, including confidential computing. You’ll engage with multiple teams across NVIDIA, create collaborative value offerings with prominent security partners, and encourage technology and DOCA adoption among customers. This is a rare opportunity to influence a new security category as it reaches a pivotal moment. What You’ll Be Doing: Lead Product Definition: Transform customer, partner, and internal feedback into prioritized requirements and product specifications for NVIDIA Sentry and DOCA security. Integrate OpenShell Architecture: Partner across NVIDIA teams to align NVIDIA Sentry with the OpenShell reference architecture, delivering unified defense-in-depth from infrastructure enforcement to model/agent guardrails. Drive Partner Ecosystem & Solutions: Collaborate with cybersecurity vendors on BlueField/DOCA to build joint value proposals and define required DOCA APIs for AI runtime security, firewall, XDR, and SIEM. Drive Customer Adoption: Engage cloud service providers, NVIDIA Cloud Partners (NCPs), and enterprise CISOs to address threat models, validate architecture builds, and support large-scale deployments. Define AI Runtime Infrastructure Security: Specify requirements for agent/workload separation, micro-segmentation, traffic inspection, policy enforcement on tool calls, data exfiltration prevention, and telemetry. Specify Confidential Computing & Encryption: Define criteria for DOCA confidential computing (attestation, trusted I/O, data/model protection) and hardware inline encryption offload (IPsec, TLS, MACsec). Execution & Technical Promotion: Partner with engineering/architecture to track delivery, while promoting NVIDIA Sentry, OpenShell, and confidential computing through blogs, conference talks, and technical sessions. Go-To-Market & Market Intelligence: Build use cases, reference designs, and demos with GTM teams while monitoring AI security trends (agent identity, AI gateways, AISPM) to guide product strategy. What We Need To See: BSc/MSc in CS, EE, or equivalent experience 12+ years in cybersecurity and 10+ years in security product management. Deep knowledge of zero trust, micro-segmentation, firewalls, IDS/IPS, encryption, workload protection, and threat detection/response. Strong grasp of AI/agentic security risks, including prompt injection, tool/MCP misuse, data exfiltration, model/supply-chain integrity, and multi-tenant isolation. Practical mastery of trusted execution environments (TEEs), attestation, and hardware roots of trust. Hands-on understanding of DPUs/SmartNICs, hardware offload, Linux, and Kubernetes. Proven track record of co-developing security products with vendors, enterprise customers, and major CSPs from initial requirements through launch and scale. Demonstrated ability to collaborate across diverse teams and drive alignment through influence without direct authority. Excellent balance of technical architecture depth and GTM/revenue insight, with strong communication skills

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