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NVIDIA

Developer Relations Manager, Federal Cybersecurity

NVIDIA is hiring a Developer Relations Manager, Federal Cybersecurity for a remote role open to applicants in United States. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this cybersecurity role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 38% higher than the typical cybersecurity posting on Level.
  • This is listed as a remote role.
  • The posting mentions PyTorch and TensorFlow among its tools and skills.
  • NVIDIA has 2,600+ other open roles on Level.

AI in this role

PyTorchTensorFlow

NVIDIA is transforming cybersecurity with GPU-accelerated AI — from real-time threat detection and digital fingerprinting to AI-driven Security Operations Centers (SOCs) and zero-trust architectures. Our Public Sector team is looking for a highly technical and strategic Senior Developer Relations Manager to serve as the technical bridge between NVIDIA’s cybersecurity portfolio and the Public Sector developer ecosystem. You will drive the adoption of NVIDIA technologies, including Morpheus, RAPIDS, DOCA, and NIM. This work involves federal defense, intelligence, civilian agencies, system integrators, and ISVs. You will combine deep hands-on technical skill with the strategic judgment to shape partner architectures, accelerate co-innovation, and route field evidence into NVIDIA’s product roadmap. This is a “builder-diplomat” role: credible with a partner’s principal engineers and their CTO, hands-on enough to profile a workload and ship reference code, and disciplined enough to follow through into product.


What You'll Be Doing:

  • Develop and maintain deep technical expertise in the security technologies employed by NVIDIA. Act as the trusted technical advisor, problem solver, and champion for the Public Sector cybersecurity developer ecosystem. Work with cross-functional partners to drive adoption outcomes and secure development wins across Federal agencies, primes, cleared ISVs, and the broader national-security developer community.
  • Accelerate critical workloads by developing and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, mission workflows, and pipelines — zero-trust fabrics, security operations center pipelines powered by advanced technology, network traffic inspection (Morpheus + DOCA), anomaly/threat detection, and LLM-augmented cyber analytics. Perform hands-on integration and honest workload diagnosis: profile partner workloads on GPU, identify bottlenecks, and recommend the optimal mix of NVIDIA frameworks, libraries, and hardware.
  • Guide partners through onboarding and integration by building and delivering technical resources — reference architectures, sample code, Jupyter notebooks, containers, and Helm charts — that make cybersecurity adoption fast and repeatable and champion co-innovation of next-generation solutions.
  • Own a 12–24 month adoption strategy for the Cyber pillar. Map and monitor the developer landscape within the Public Sector. Track build wins, developer engagement metrics, and ecosystem health indicators. Collaborate with engineering, product management, and marketing to inform roadmaps and optimize partner adoption.
  • Engage partner technical leaders to drive best-practice integrations and resolve technical challenges. Gather evidence-based field insight like developer sentiment, unmet needs, and competitive signals, and distill it into actionable intelligence for NVIDIA product, roadmap, and go-to-market teams.
  • Orchestrate multi-functionally across NVIDIA sales, Solutions Architects, DevTech, compliance, development, and promotional teams to navigate complicated multi-stakeholder engagements in the Federal space.
  • Connect developers to NVIDIA programs including Inception, NVIDIA Venture, DevTech resources, and relevant GTC / public-sector event content.
  • Represent NVIDIA publicly at Federal and cybersecurity industry events — delivering talks, workshops, and demos that build technical credibility and community trust.

What We Need to See:

  • Bachelor’s or Master’s degree or equivalent experience in Computer Science, Computer Engineering, Cybersecurity, Mathematics, or a related technical field.
  • A minimum of 12+ years of progressive technical experience in cybersecurity engineering, security software development, or a closely related domain, including 5–8 years working directly with developers or technical customers in cybersecurity — threat detection, network security, SIEM/SOAR, endpoint protection, or zero-trust architecture.
  • Proven experience (4–6 years) leading external technical partnerships, co-development engagements, and developer ecosystem programs at major technology companies, and cybersecurity ISVs or integrators serving the Federal market.
  • Significant technical depth in cybersecurity software includes GPU-accelerated and AI- and machine learning-powered security solutions. Proficiency in Python and at least one systems language (C/C++, Rust) is required. Candidates should be comfortable with Linux, containers, Kubernetes, and CI/CD pipelines.
  • Experience leading technical collaborations with engineering and product teams — including architecting and delivering GPU-accelerated or AI/ML security solutions at scale — and familiarity with NVIDIA’s cybersecurity-relevant stack: Morpheus, RAPIDS, DOCA, cuDF, Triton Inference Server, or NIM microservices.
  • Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate across sales, legal, product, and marketing, with strong working knowledge of the Federal cybersecurity landscape — FedRAMP, NIST frameworks (800-53, CSF, ZTA 800-207), CMMC, CDM, and the threat environment facing DoD, IC, and FCEB agencies.
  • Outstanding written and verbal communication skills. Able to communicate fluently with engineers, executives, and C-level partner leadership.
  • Ability to obtain and maintain a U.S. security clearance required (TS/SCI preferred; Secret minimum).

Ways to Stand Out from the Crowd:

  • Hands-on experience with ML/DL frameworks (PyTorch, TensorFlow, NVIDIA NeMo) applied to cybersecurity use cases — malware classification, phishing detection, user/entity behavior analytics (UEBA), or network intrusion detection — and contributions to open-source security tooling or published research in AI-driven cybersecurity.
  • Experience with DPU/SmartNIC-accelerated network security (NVIDIA BlueField / DOCA); cloud architecture expertise (AWS GovCloud, Azure Government, Google Distributed Cloud) including API design, microservices, and orchestration in FedRAMP-authorized environments.
  • Prior DevRel, developer advocacy, or technical evangelist experience with a track record of measurable developer adoption outcomes.
  • Familiarity with NVIDIA Inception program workflows and startup/ISV ecosystem engagement in the cybersecurity vertical.
  • Active TS/SCI clearance with current CI polygraph.

With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Developer Relations Manager, Federal Cybersecurity at NVIDIA rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PyTorchTensorFlow

Also common in cybersecurity jobs at this level

Pay

This job starts at
$224k
Typical cybersecurity job
$162k

This posting starts 38% above the typical cybersecurity job. See cybersecurity jobs

Questions you could be asked

  1. What's a project where you used PyTorch hands-on?
  2. Walk me through how you've used TensorFlow in your day-to-day work.
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: PyTorch and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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