Jobs at Nvidia

NVIDIA is widely recognized as one of the most desirable employers, with some of the most talented people in the world working for us! We believe open-weight models are foundational to American AI leadership and cybersecurity, and that trust in AI grows through participation, transparency, and broad scientific scrutiny. Our AI Safety & Security Engineering team builds and evaluates AI-powered tooling that helps find, validate, and patch software vulnerabilities. The agent harness and the platform it runs on are the substrate everything else builds on.

We are looking for a Harness/Platform Engineer to build that foundation. You will play a critical role in making the program's work possible, repeatable, and trustworthy. When a researcher runs an experiment, your platform decides whether the result can be reproduced tomorrow. Our current direction builds on NVIDIA NeMo agent tooling, and you will help shape where it goes. You will keep the whole loop visible, from environment to run to result. You will work closely with security research and evaluation engineers, learning their workflows and smoothing their paths. Good platform work here looks like fewer surprises: environments that behave, tooling that stays versioned, and runs that repeat. When something breaks, you will debug it with the people who felt it first. You will treat researcher time as precious and remove friction wherever you find it.

What You'll Be Doing:

• Harness development:Design, implement, and maintain the agent harness.

• Evaluation infrastructure:Build the systems we use to run and reproduce experiments.

• Reproducibility:Own environments, tooling, and repeatable runs.

• Collaboration:Partner with security and evaluation engineers on their workflows.

What We Need To See:

• Bachelor's degree (or equivalent experience) with 5+ years of software engineering experience.

• Technical core:Strong Python engineering plus comfort with containerized environments and CI/CD.

• Infrastructure familiarity:Experience with agent frameworks, LLM orchestration, ML infrastructure, or evaluation harnesses.

• Reproducibility instincts:Care for versioned tooling and repeatable results.

Ways to Stand Out from the Crowd:

• NeMo experience:Hands-on work with NVIDIA NeMo or similar agent frameworks.

• Security context:Exposure to security tooling or vulnerability research.

• Developer experience:Building internal tools other engineers enjoy using.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Originally posted on Himalayas

Do you want to help the world build custom AI at scale? We’re hiring a Senior Technical Program Manager to lead the technical strategy and execution of NVIDIA’s Forward Deployed Engineering engagements across NVIDIA Nemotron and NVIDIA Cosmos. This role turns each engagement into a customer success story, taking domain-specific AI from first idea to production. It combines a solution architect’s technical depth with engagement strategy and ecosystem alignment.

Our FDE engagements run through the partner ecosystem, so each one involves three parties: NVIDIA, the partner, and the end customer. This leader is the key interface for all three, keeping them aligned from the first use-case conversation through model and harness customization to production. It’s a great fit for someone with strong technical depth, ecosystem experience, and a habit of using AI agents and tools to automate program work.

Are you a program leader who delivers results, not just status updates? We’d love to meet you!

What you’ll be doing:

• This role sets the technical direction for each FDE engagement and serves as the main point of contact for NVIDIA, the partner, and the end customer. It turns each use case into a clear plan with scope, milestones, and success criteria, and keeps all three parties aligned from first conversation to production. Collaboration is central: build trust and shared goals across NVIDIA, partners, and customers.
• We run programs with agents. Automate everything that can be automated, including SOWs, status updates, meeting synthesis, and risk flags, so the team’s time goes to decisions and relationships. Build and share agent workflows, and review their output with good judgment.
• The work is technical. Work with FDEs and partner engineers to understand the use case, data, evaluation approach, and post-training and deployment path well enough to scope engagements and spot risks early. Shape the data and program strategy, make the technical decisions that drive outcomes, and use agents to surface issues sooner.
• Build the way we deliver- Define the processes and artifacts that make every engagement repeatable, and turn what works into playbooks, templates, and reusable agent workflows. Drive each engagement through delivery, work with legal and partner teams on agreements, data sharing, and compute access, and clear blockers early.
• Look across partners, use cases, open model builders, and cloud providers to see where NVIDIA adds the most value and spot repeating patterns. Work hand in hand with FDEs, sales, partner, and solutions teams, keep NVIDIA and partner priorities aligned, report progress to leadership, and bring the patterns and insights from the field back to Product, Engineering, and Research.

What we need to see:

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
• 6+ years in technical program management, solutions architecture, forward deployed engineering, or technical customer delivery, including leading complex multi-party programs from proof of concept to production.
• Working knowledge of the LLM post-training lifecycle (data, evaluation, fine-tuning and reinforcement learning, deployment), with enough technical depth to engage credibly with ML engineers. Practical comfort with Python and cloud and GPU infrastructure.
• Strong hands-on experience using AI agents and agentic workflows to run programs, including planning, tracking, and reporting, and the judgment to validate their output.
• Experience working across the open model, post-training and harness, and cloud provider ecosystems, including multi-company engagements with executives.
• Experience shaping SOWs and agreements, working with legal and procurement, and handling data sharing and governance.
• Proven ability to manage risks, dependencies, and decisions with incomplete information, and to define metrics and drive to outcomes.
• Clear communication of complex technical ideas, from engineers to C-level executives. Excellent organizational skills.

Ways to Stand Out from the Crowd:

• Built custom agentic solutions that automate program and engagement work, with a track record of delivering faster, better results.
• A strong record of coordinating multi-party engagements and driving delivery for complex technical efforts.
• Prior experience working with FDEs or in FDE engagements.
• A proactive style, with the ability to move engagements forward even in uncertain or ambiguous scenarios.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Originally posted on Himalayas

As a Principal Software Engineer, you will set the technical direction for NVIDIA's global Developer Compute platform. The platform covers AI agent sandboxes and virtual desktop infrastructure. You will architect and build the services that provision, stream, secure, and operate cloud-hosted compute environments at global scale across AWS and Azure. These environments serve both AI agents and the people who work alongside them. You will partner with engineering, IT, and security leaders across NVIDIA to turn AI and end-user workflows into reliable, high-performance platform capabilities. This role is for a hands-on technical leader who wants to define how agents and people get compute at the frontier of AI!

What you will be doing:

• Leading contributions to the end-to-end architecture of NVIDIA's AI agent compute and virtual desktop platforms, from technical strategy and systems design through implementation, testing, and global deployment.
• Developing distributed compute services that provision and manage secure, isolated agent environments and virtual desktops across multiple clouds, availability zones, and regions.
• Driving the desktop streaming strategy, including protocol architecture, performance tuning, and end-user experience for both GPU-accelerated and general-purpose workloads.
• Collaborating with engineering, IT, and security leaders within NVIDIA to translate AI workflow and end-user compute requirements into a multi-year platform roadmap.

What we need to see:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 15+ years of experience in software, platform, infrastructure, or cloud engineering, including architecting, developing, and deploying global cloud compute infrastructure.
• Deep, hands-on experience with AWS and/or Azure compute, networking, identity, and storage services, such as EC2, VPC, Azure VMs, VNets, and Entra ID.
• Deep expertise in desktop streaming protocols such as Amazon DCV, PCoIP, or Omnissa Blast Extreme, including tuning for latency, bandwidth, and graphics performance.
• Experience designing and operating end-user computing solutions such as Amazon WorkSpaces, Azure Virtual Desktop, Windows 365, Citrix, or Omnissa Horizon.
• Experience with AI-native development and coding agents to multiply developer efficiency.
• Excellent communication skills and a proven track record to influence technical direction across teams and organizations.

Ways to stand out from the crowd:

• Experience building platforms for AI agents, sandboxed execution, or computer-use agents that operate in full desktop environments.
• Experience with GPU virtualization, such as NVIDIA vGPU, and GPU-accelerated virtual workstations.
• A thorough understanding of zero-trust architecture, container and VM security, and multi-tenant isolation.
• Excited to contribute to a high-trust, collaborative culture while bringing a unique perspective to the team!

We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and enjoy learning while having fun, then what are you waiting for? Apply today!

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Originally posted on Himalayas

Securing NVIDIA's EDA clusters is not a matter of deploying a standard security stack. The workloads are too large, too long-running, and too performance-sensitive for an off-the-shelf playbook to simply apply. That constraint is the job. You'll be an individual contributor on Infrastructure Security Engineering for EDA Clusters, the team that implements security controls across the compute, storage, and networking that NVIDIA's hardware engineers design silicon on - spanning on-prem data centers and multi-cloud. You will sit alongside the engineers who run these clusters 24x7, close enough to deploy a control, investigate a behavior, and change the running environment yourself.

This is hands-on build work, not control review. You'll decide where conventional tooling applies, where it actively cannot, and then engineer the alternative. If your depth is in large-scale compute, networking, or storage infrastructure at a hyperscaler, a security product company, or anywhere fleets and fabrics are the day job, and you've carried real accountability for the security properties of those systems, you're who we want to talk to. We don't expect fluency in every security product category. We expect you to own outcomes and pick up the remaining domain breadth fast. Security engineering here is engineering: code, instrumentation, and secure-by-default infrastructure - not tickets, exceptions, and spreadsheets.

What You'll Be Doing:

• Build and operate security controls and telemetry for EDA compute, storage, and networking - design, ship to production, then own them.
• Engineer around hard constraints. Protect multi-day, high-value compute jobs without degrading them. Where heavyweight in-node agents are not viable, build the workable answer instead.
• Make the network and platform the control plane. Protection can't depend solely on what runs inside the node.
• Instrument for detection. Collect and normalize security signals from the fleet into our SIEM, and build the detections and dashboards that turn it into something actionable. Log collection alone is not monitoring.
• Investigate and respond. Chase down EDA-specific threats and exposure, and execute containment and remediation hands-on with infrastructure and service owners.
• Automate enforcement and evidence. Infrastructure-as-code and policy-as-code so secure configuration is the default state, with compliance evidence produced as an engineering output rather than a manual exercise.
• Run the lifecycle of the security technologies you own: selection, rollout, operation, and eventual replacement.
• Work across boundaries. Partner directly with data center operations, IT storage and networking, network engineering, CSP teams, and NVIDIA's central security organization on shared outcomes.
• Think like an adversary. Threat modeling and mitigation planning across network, storage, and compute.

What We Need To See:

• 8+ years of hands-on infrastructure or infrastructure-security engineering across on-prem and cloud environments.
• Strong Linux depth - you are comfortable at the system level, not just the console level.
• Real experience operating or securing compute fleets at scale: provisioning, lifecycle, and the operational realities of long-running jobs.
• Working networking expertise applied to large compute environments.
• Programming/scripting fluency (Python, Go, or shell) used for automation, detection, and tooling you've shipped and maintained.
• Solid foundations in access control, authentication, segmentation, encryption, and vulnerability lifecycle.
• A track record of landing changes with partners who don't report to you.
• Clear written and verbal communication - credible with individual engineers and with leadership.
• A Bachelor's degree in a relevant engineering field or equivalent experience.

Ways To Stand Out from the Crowd:

• Security or platform engineering inside EDA, HPC, or large research-cluster environments.
• Breadth across security domains - IAM, EDR/XDR, CNAPP, CSPM, zero-trust architectures - or a demonstrated pattern of picking up new domains fast.
• Built or operated infrastructure security capabilities at a hyperscaler or a security product company - you engineered detection and enforcement systems rather than deploying someone else's.
• Experience with kernel- and fabric-level observability and enforcement - eBPF, in-line and out-of-band inspection, DPU/SmartNIC offload - as an alternative to heavyweight in-node agents.
• Contributions to open-source security or infrastructure tooling.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to outstanding growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Originally posted on Himalayas

As a Sr. Global Alliance Director, NVIDIA and AI Clouds at vCluster Labs, you aren't just managing a partner relationship; you are building the alliance that decides how the world's AI factories get built. NVIDIA is the center of gravity of the AI infrastructure ecosystem, and vCluster is the tenancy layer that turns raw GPU infrastructure into secure, isolated, sellable cluster products - raising GPU utilization, compressing time-to-tenant from weeks to minutes, and delivering hard Tenant Isolation without hard silos for AI Clouds, sovereign AI builders, and enterprises. You will own the NVIDIA alliance end to end, worldwide: the strategy, the executive relationships, the integrations, the co-sell engine, and the number. Deals close in the field - your job is to make sure there are more of them, they are bigger, and they move faster because NVIDIA and vCluster are joined at the hip.

As a Sr. Global Alliance Director, NVIDIA and AI Clouds, your role will include:

• Owning the global alliance strategy: You will serve as vCluster's dedicated alliance owner and primary point of contact for NVIDIA - strategy, executive alignment, program agreements, and business reviews. You will build trusted relationships across NVIDIA's GTM leadership, solutions architecture, product and engineering, partner programs, and field sales, and continuously monitor NVIDIA's roadmap, open-source initiatives, and organizational changes to spot opportunities and mitigate risk before anyone else does.

• Building the sell-to motion: You will champion vCluster's position inside NVIDIA's own AI infrastructure direction and platform stack - including NVIDIA's open-source AI factory frameworks and bare-metal tenancy initiatives, where vCluster and vMetal serve as the abstraction and experience layer - so vCluster becomes part of how NVIDIA builds and recommends AI factories.

• Building the sell-with motion: You will design, launch, and scale repeatable co-sell plays targeting mutual customers across NVIDIA Cloud Partners (NCPs), GPU-specialized AI Clouds, sovereign AI programs, hyperscalers, and large enterprises building AI factories - driving account mapping, joint pipeline development, and field-to-field engagement, then connecting resulting opportunities to vCluster's regional sellers, channel partners, and OEM alliances to close.

• Driving technical and marketing alignment: You will represent NVIDIA's technology requirements - DPU/DPF and BlueField data paths, DGX and SuperPOD environments, NVL-class systems, NVIDIA AI Enterprise - inside vCluster Product and Engineering, drive joint validation through NVIDIA's ISV and certification programs, and build the enablement engine that makes vCluster the easiest "yes" in an NVIDIA seller's deal.

• Constructing multi-party ecosystem plays: You will build "4-in-a-box" plays that combine NVIDIA, vCluster, and OEM, storage, and GSI partners around real customer outcomes - joint reference architectures, co-marketing, and demand generation that NVIDIA sellers can run without us in the room.

• Owning the partnership number: You will report partner-sourced and partner-influenced pipeline, joint bookings contribution, integration and certification milestones, and field activation to vCluster leadership - with MEDDPICC on every joint opportunity and weekly pipeline inspection. Data over opinions. Process over heroics.

This role could be a fit for you if you bring:

• Alliance leadership at scale: 10+ years in strategic alliances, partner sales, business development, or ecosystem leadership in enterprise software or AI infrastructure, with a proven track record building a strategic technology alliance that produced significant, measurable partner-sourced and partner-influenced revenue.

• Deep NVIDIA ecosystem experience: You have managed an NVIDIA alliance, co-sold with NVIDIA field teams, or operated deeply within the NVIDIA Partner Network and GPU ecosystem - and you know how to navigate a massive, matrixed organization from senior technical decision-makers to GTM leadership.

• AI infrastructure fluency: Working understanding of NVIDIA's technologies and programs (GPUs, DGX, SuperPOD, networking/DPUs, AI Enterprise, NCP, ISV certification) and of Kubernetes, cloud-native platforms, and AI/ML infrastructure - enough to earn credibility with architects and translate it into business value, ROI, and outcomes for executives.

• Influence without authority: Demonstrated ability to mobilize cross-functional teams - Product, Engineering, Marketing, regional sales - on both sides of an alliance, without direct organizational control.

• Operating rigor: Consultative, outcomes-based style with disciplined qualification (MEDDPICC or equivalent), forecasting hygiene, and reporting discipline.

• Builder's instinct: Comfort operating in an ambiguous, high-velocity environment. You compress timelines rather than manage them - a builder, not a caretaker.

Bonus points for:

• Existing NVIDIA relationships: A live network across NVIDIA partner programs, solutions architecture, or field sales that shortens your ramp.

• Open-source ecosystem familiarity: Experience positioning open-source-born platforms inside large vendor ecosystems.

• Multi-party deal construction: History of building OEM, storage, or GSI plays around an anchor silicon partner.

• MBA or equivalent commercial depth: Useful for program structuring and executive business reviews.

About vCluster Labs

We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders. We're a venture-backed startup that's raised over $28M from top-tier investors including Khosla Ventures (first investor in OpenAI, GitLab, Stripe, and DoorDash), and we're in a hyper-growth phase looking for motivated people to join our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe with a remote-first culture.

We give AI Cloud providers and AI factories a hyperscaler-like experience on their own GPU infrastructure. Our platform runs the full stack an operator needs, from bare metal provisioning and node lifecycle management up through managed Kubernetes, Slurm, Ray, and inference clusters, so they can turn raw GPUs into cluster products they can sell in days instead of spending 12+ months building it themselves. Today we power over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies, backed by a team of 40+ infrastructure engineers who build alongside our customers rather than just shipping them software.

We're the company behind vCluster, the open source technology for tenant isolation on Kubernetes, with 11,000+ GitHub stars and 40M+ tenant clusters created since 2021. Open source is part of our DNA. At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI, a Kubernetes-native framework built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems.

Benefits

We offer the following benefits:

• Competitive Salary: We offer a competitive compensation package, including equity.

• Premium Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country).

• Flexible Working Schedule: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day.

• Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way.

Culture & Values

At vCluster Labs, we value and stand for:

1. Make it Happen: We have a relentless bias for action and the grit to push through obstacles. We do whatever it takes to figure it out, put in the work, and ruthlessly prioritize the actions that drive measurable impact for the business.

2. Own the Outcome: We understand that our responsibility doesn't end when a task is checked off; it ends when the value is delivered. We connect our daily individual actions to the broader success of the company and our customers.

3. Create Wow: We measure success by the experience we generate, both inside and outside the company. For our customers, this means impressive speed and intuitive experiences. For our team, this means going the extra mile to support one another and to continuously drive each other to new heights.

4. Open Source, Open Mind: We are actively contributing to and maintaining open-source projects. Internally, we foster meritocracy — the strongest ideas win, no matter who or where they come from.

5. Build Tomorrow’s Standards, Intentionally: We don't just ship software; we define the state-of-the-art of tomorrow. We are fearless in tearing down old approaches to build something better, but we are disciplined in how we do it because we know our users rely on our technology to run mission-critical infrastructure platforms.

Compensation Range: $225K - $280K

Originally posted on Himalayas

We’re hiring a Senior Solutions Architect to drive technical engagement with NVIDIA partners, OEMs, and customers across NVIDIA AI Factory solutions, focusing on on-premises enterprise solutions. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you!

What you’ll be doing:

• Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
• Co-design advanced, scalable architectures with NVIDIA integration partners, select OEMs, and key end customers, defining technical direction, integration milestones, and deployment plans.
• Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer success.
• Identify gaps between customer and partner needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities.
• Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs.
• Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
• Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
• Become an authority who builds and shares knowledge and infrastructure insights for NVIDIA platforms.
• Act as a resource to help tailor on-premises solutions to specific environments and workloads while balancing risk, performance, and supportability needs.
• Be hands-on, and a voice of experience. This role is for those who thrive by gaining real experience and using that to help accelerate others.

What we need to see:

• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 3-5+ years of direct, hands-on experience in compute, networking, and storage hardware and software platforms.
• Deep technical expertise in system management software, operating systems, system firmware, and all the hardware infrastructure that goes with it when deployed at scale, with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
• Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.
• Strong problem-solving skills, intellectual curiosity, and a commitment to helping customers succeed.
• A track record of balancing empathy for partner and customer needs with the ability to drive complex product decisions through trusted relationships.
• Hands-on experience with deploying, using, and operating on-premises AI-focused solutions, including system architectures, rack-scale firmware, cluster management software, workload management software, and the associated hardware that underlies it. If you are motivated by sharing how hardware, firmware, and software all work together to build a platform, this is the role for you.

Ways to Stand Out from the Crowd:

• A hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges.
• History of enabling customers and/or partners to successfully adopt NVIDIA technologies and platforms.
• A technical vision that influences product and engineering decisions and drives production outcomes.
• Real-world experience with cluster management tools (e.g., NVIDIA Base Command Manager, MaaS), workload orchestration software (e.g., Slurm, Kubernetes).
• Practical knowledge of system and rack-scale hardware, such as BMCs, PCIe communication, network topologies, and how they all interact.

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Originally posted on Himalayas

NVIDIA Networking product security team is looking for an outstanding technical security architect with hands-on experience to help us improve the security posture of NVIDIA networking products. In this role you will partner with firmware, hardware, and architecture teams on the security architecture, to reduce risk, threats, and vulnerabilities while driving new security features that affect millions of devices all over the world!

What you'll be doing:

• Be involved in the security architecture of NVIDIA Networking firmware — trust boundaries, privilege separation between firmware domains, device identity and key storage, secure boot and chain of trust, and secure update and anti-rollback flows.
• Perform security threat modeling of firmware and embedded subsystems across NVIDIA Networking products.
• Analyze complex firmware and hardware/firmware interactions to identify security weaknesses, including boot flows, privileged execution environments, and host- and network-facing management interfaces.
• Define security features and mitigations spanning the full device lifecycle — provisioning, attestation, debug authorization, runtime hardening, and field update. Guide the engineering teams throughout the implementation.
• Translate threat models into actionable security requirements and architectural decisions, and review designs and implementations against them.
• Partner with hardware and ASIC architects to specify the security primitives firmware depends on, and define how they are used across the product line.
• Drive secure development practices for firmware — memory-safe coding patterns in C, static analysis, and fuzzing of firmware-exposed interfaces — and make sure development processes meet security and coding standards.

What we need to see:

• Academic degree in computer science, electrical engineering, or related field (or equivalent experience).
• Demonstrated experience of 8+ years in product security, firmware security, or security research, including hands-on work with embedded or firmware codebases.
• Experience defining security policy models — authorization schemes, RBAC, and administrative role separation — including how policy is expressed, enforced, and administered in production.
• Familiarity with applied cryptography (including secure boot, code signing, and attestation), threat modeling, common attack vectors, and mitigation techniques.
• Ability to work independently, and collaboratively in a constantly evolving environment.
• Excellent communication and interpersonal skills.

Ways to stand out from the crowd:

• M.Sc. or PhD in computer science, electrical engineering, or related technical field.
• Experience with hardware/software interfaces in networking devices — register and MMIO programming models, DMA, mailbox and doorbell mechanisms, PCIe configuration and management interfaces, and the firmware that drives them.
• Experience with hardware roots of trust and hardware-enforced isolation (MPU/MMU, secure enclaves, fuse/OTP-based provisioning) in SoCs or ASICs.
• Hands-on experience with networking software — device drivers, control plane, management interfaces, or embedded network operating systems — and an understanding of how these components interact with firmware.
• Familiarity with high-scale deployment, the data center security ecosystem and its operational challenges.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Originally posted on Himalayas