Jobs at Nvidia

NVIDIA is looking for a Senior AI Infrastructure Solutions Architect to join its Public Sector Continuous Bring Up team This person will be passionate about crafting an entire market and serving Public Sector customers during the AI transformation. The ideal candidate will have a strong technical background in accelerated computing technology and artificial intelligence. They will apply these skills to support government programs within the Public Sector market. They will collaborate closely with product, engineering, and customers to accelerate NVIDIA technology in the design to deployment of large-scale GPU infrastructure. A successful candidate will demonstrate skill in transcending boundaries, working effectively with product teams, account managers, field organization, and customers to drive success. You must be a U.S. Citizen to apply for this position. What you’ll be doing: * Working with NVIDIA Cloud Partners and OEMs in Public Sector on large data center GPU server and networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. * Become the primary technical driver for customers during the build, deployment, construction, integration, and production of GPU infrastructure and applications throughout the entire customer lifecycle. * Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions. * Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA. * Analyze and debug compute/network configuration and performance issues to deliver performant clusters. * Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications. * Lead communication with customers and NVIDIA Management. * Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools. What we need to see: The position requires solving complex multidisciplinary problems. Responsible for leading the resolution of technical issues across multiple engineering teams and coordinating the solutions with the customer. * BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience. * 6+ years supporting Solution Engineering (or similar Sales Engineering, Solution Architecture) including experience working directly with partners and customers. * Experience with high performance Networking or CPU/GPU application acceleration. * Background with schedulers such as SLURM, LSF, UGE, etc. * Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience. * An ability to travel to customer sites up to 20% of the time. Ways to stand out from the crowd: * Familiarity with NVIDIA GPUs, NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager. Experience building and/or integration artificial intelligence solutions. * Experience with bring up and deployment of large GPU clusters, including deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance. * Experience with MPI (Message Passing Interface). * Experience working with enterprise developers and strong customer-facing skills. * Active Security Clearance is highly desirable. 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, independent, and focused on serving the mission of the U.S. Federal Government, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 15, 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.

NVIDIA is building brand new accelerated computing platforms that know no boundaries. Our technology is essential for global innovators, scientists, researchers, and engineers, empowering them to transform their boldest concepts into tangible outcomes. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters. We seek a highly motivated and experienced Senior Software Architect specializing in Ethernet Switch ASICs software to join our expert team and help build the future of high-performance ML/AI computing. You will work on groundbreaking technologies and help drive innovation in next-generation networks. You will play a key role in defining switching software stacks and Linux kernel networking and help address new business opportunities in exciting areas. Our Architects represent NVIDIA in open-source projects, technical conferences, standard development organizations and lead customer engagements. What you'll be doing: * Explore networking features, protocols, hardware/software capabilities, and open-source drivers to build and improve networking platforms. * Identify and evaluate new innovations, initiatives, and software partners aligned with business needs and technology roadmaps. * Define robust embedded software architectures for next-generation Switch platforms optimized for AI/ML workloads and high-performance operations. * Lead R&D and Validation teams with technical guidelines, ongoing support, and thorough reviews of build and test plans. * Collaborate closely with architects across Chip Build, Firmware, Hardware Platforms, and System teams. * Partner with product marketing, program managers, and account managers to drive successful project execution. * Lead engagements with key customers in groundbreaking edge-technology fields. * Drive innovation through Proof-of-Concept (PoC) developments, patents, white papers, and active participation in industry forums and working groups. What we need to see: * B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience). * 8+ overall years in embedded networking software development, with 5+ years as a Software Architect accountable for major modules. * Expert-level knowledge of Ethernet/IP, network topologies, and networking features across data center, telco, or edge networks. * Strong foundation in embedded software development and operating system fundamentals. Innovation & Research: Proven track record of researching and integrating new technologies into practical applications. * Demonstrated project leadership, ownership, and accountability. Communication: Clear verbal and written English communication with a proven ability to build consensus across large organizations. * Strong critical thinking and problem-solving skills with the ability to thrive in a fast-paced, dynamic environment. Ways to stand out of the crowd: * Wide knowledge in Switch ASIC hardware, Software Development Kit (SDK), Network operating systems (NOS) * Deep understanding of the Linux kernel and networking. * Ability to prototype ideas, demonstrate their value, build initial implementations. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Due to outstanding growth, our world-class engineering teams are expanding rapidly. If you're a creative and independent engineer with a real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 2, 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.

By submitting your resume, you acknowledge that your 2027 Developer and Performance Technology internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry-leading Deep Learning teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 8–12-month full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing a B.S. or M.S. degree within a relevant or related field. Potential Internships in this field include: Performance Engineering * Running performance, image quality, and power tests for Professional Visualization, AI, and LLM benchmark applications on various GPUs; Configuring computer systems with appropriate hardware and software to run benchmarks * Building automation scripts to benchmarking procedure and balancing configuration files; assembling computer hardware, developing and running automation scripts on applications, and designing tools * Course or internship experience related to the following areas could be required: Linux and Shell Scripting, GPU Accelerated Deep Learning Frameworks (TRT, Torch, DML), Python, Containers (Docker or Singularity), Embedded Platforms, 3D Graphics, GPU Programming (CUDA, OpenCL), Benchmarking, Image Quality and Power Testing, Scripting, Debugging, Low Level System Configuration (BIOS Configurations, Memory Timing, Controlling Cache Latency, Overclocking) Platform Performance and Power * Completing post-silicon performance and power benchmarking on NVIDIA and competitive GPU products; Compiling and analyzing data for internal software, hardware, sales, and marketing groups to inform decisions * Developing, implementing, and maintaining test systems by configuring hardware, operating systems, drivers, and software tools used for benchmarking and data collection; Implementing hands-on tests focused on performance and power for GPU platforms; Maintaining automation tools to improve testing efficiency * Course or internship experience related to the following areas could be required: Linux, Python Scripting, Debugging, Electrical Fundamentals (Power Measurement; Multimeters or Data Acquisition Tools), MMs, Agilent DAQs, National Instruments DAQs, GPU Programming (CUDA, OpenCL), Embedded Platforms, Benchmarking, Power Testing Deep Learning and High-Performance Computing (HPC) * Planning and executing GPU performance benchmarking across a wide range of HPC and DL Frameworks and Applications; Aggregating, analyzing, and generating written and visual reports with testing data for internal teams * Writing scripts to improve data gathering through automation, designing efficient processes for testing a wide variety of applications and hardware; Assisting with the development of tools and processes to improve performance of automated testing * Course or internship experience related to the following areas could be required: GPU-Enabled Deep Learning Frameworks (TensorFlow, PyTorch, MXNet, TensorRT), GPU-Enabled HPC Applications (LAMMPS, GROMACS, Amber, RTM), GPU/CPU Benchmarking (Coud Solutions i.e. AWS, GCP, Azure), GPU Programming (CUDA, OpenACC, OpenCL), Compilers (GNU, Intel Composer, PGI), Clusters (Slurm, Kubernetes) What we need to see: * Must be actively enrolled in a university pursuing a B.S. or M.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, for the full 8–12-month duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered. * Developer and Performance Internship Preferred Start Dates: February 2027 or May 2027 Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: * GPU Accelerated Deep Learning Frameworks (TensorFlow, PyTorch, MXNet, TensorRT, Torch, DML), GPU Programming (CUDA, OpenCL), HPC Applications (LAMMPS, GROMACS, Amber, RTM), Linux, Python/Unix Shell Scripting, Containers (Docker or Singularity) * 3D Graphics, Image Quality and Power Testing, Low Level System Configuration (BIOS Configurations, Memory Timing, Controlling Cache Latency, Overclocking), Electrical Fundamentals (Power Measurement; Multimeters or Data Acquisition Tools), Compilers (GNU, Intel Composer, PGI), Clusters (Slurm, Kubernetes), Embedded Platforms, Debugging, Benchmarking, Power Testing ​ Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. ​ Applications are accepted on an ongoing basis. 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.

US, VA, Remote US, GA, Remote US, DC, Remote US, NC, Remote US, FL, Remote US, MA, Remote Full time JR2025230 NVIDIA is seeking a high-performing Account Manager to grow its business with state and local government organizations. This role is ideal for a consultative technology sales professional who is energized by AI, accelerated computing, public-sector innovation, and helping government agencies address complex mission and technology challenges. As NVIDIA’s leader in AI and accelerated computing, we work with state and local government agencies to modernize services, improve operational resilience, strengthen public safety, and advance data-driven decision-making. We are looking for an Account Manager to build strategic relationships with State and Local customers, lead growth across a defined territory, and help agencies adopt NVIDIA’s technology platform. In this full-time role, you will partner closely with NVIDIA solution architects, developer relations, product teams, business units, and channel partners. You will own the sales process from prospecting through close, develop account strategies, and translate agency priorities into clear, differentiated NVIDIA solutions. You must be a U.S. Citizen to apply for this position. What you’ll be doing: + Meet or exceed assigned sales quota across state and local government accounts. + Build and execute territory and account plans that create sustainable revenue growth. + Develop trusted relationships with agency executives, IT leaders, program owners, technical teams, procurement stakeholders, and partner organizations. + Own the end-to-end sales cycle, including prospecting, discovery, presentations and demonstrations, proposal development, negotiation, forecasting, and closing. + Partner with solution architects, developer relations, product management, business units, and other internal teams to advance customer opportunities and support adoption of NVIDIA platforms. + Collaborate with technology channel partners, system integrators, resellers, and other ecosystem partners to expand market coverage and grow sales. + Accurately forecast pipeline, revenue, and deal progress to sales leadership. + Navigate public-sector procurement processes, contracting vehicles, budget cycles, and stakeholder environments. What we need to see: + 5+ years of quota-carrying technology sales experience, with responsibility for the full sales cycle. + Experience working with strategic smart space ISVs + Demonstrated experience selling to state and local government organizations or other public-sector customers. + Experience working with technology industry channel partners, system integrators, and resellers to build go-to-market strategies. + Strong consultative selling, negotiation, communication, presentation, and closing skills. + Exceptional customer relationship-management skills and the ability to engage effectively with technical, operational, procurement, and executive stakeholders. + Bachelor’s degree or equivalent experience + Willingness to travel minimum 25% Ways to Stand out from the Crowd: + Experience supporting public-sector initiatives involving AI, data analytics, smart infrastructure, transportation, public safety, emergency response, healthcare, education, or citizen services. + Familiarity with data science workflows, modern machine learning, AI trends, and high-performance or accelerated computing. + Understanding of state and local government contracting vehicles and cooperative purchasing agreements. + A self-directed, resilient approach to operating in a dynamic, evolving technology market. + Strong listening skills, creativity, and the ability to influence diverse customer and partner stakeholders. At NVIDIA, you will work alongside talented, driven people who are shaping the future of AI and accelerated computing. You will help state and local governments apply transformative technology to improve public services, advance mission outcomes, and better serve their communities. Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 148,000 USD - 235,750 USD. You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . Applications for this job will be accepted at least until September 20, 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA .

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you ready to shape the future of AI infrastructure across Canada? NVIDIA’s accelerated computing platform powers the world's most sophisticated AI factories, cloud data centers, and enterprise solution ecosystems. We are looking for a highly motivated Senior Account Manager to join our fast-paced Americas NVIDIA Cloud Partner (NCP) organization. This role bridges physical data center infrastructure, advanced compute architectures, and financial frameworks to drive the commercial adoption of NVIDIA technology!

What you will be doing:

• Drive Revenue & Demand: Achieve regional sales targets by creating and delivering joint go-to-market plans with NVIDIA Cloud Partners (NCPs) and data center operators across Canada.

• Optimize AI Infrastructure: Connect land, power, and shell (LPS) capacity with NVIDIA Reference Architectures (RA), collaborating with NVIDIA Infrastructure Specialists (NVIS) to accelerate partner data center readiness.

• Orchestrate Ecosystem Demand: Secure long-term partner success by connecting cloud providers with enterprise compute offtakers to improve hardware utilization.

• Structure Complex Deals: Partner with financial institutions and internal collaborators to evaluate and navigate deal financing frameworks required for large-scale AI factory deployments.

• Work closely with various cross-functional teams within NVIDIA (including Account Manager, SA, PM, and R&D teams) to develop strategies that drive the growth of each NCP.

• Drive engagement across NVIDIA’s broader partner ecosystem and build new business opportunities through collaboration with NVIDIA’s global partners.

• Ensure NCPs have a clear understanding of NVIDIA’s product portfolio and strategy, and work with them to establish and complete business plans optimized for the Canadian market.

• This job will require a minimum of 50% travel to across the Canadian market.

What we need to see:

• 12+ overall years of sales, business development, or channel management experience within cloud infrastructure or data center environments.

• Bachelor’s degree or equivalent experience.

• Previous work experience in one of the following domains: LPS (Land, Power, Shell), Datacenter ecosystem, Server (GPU, CPU), Cloud Computing (Required).

• Consistent track record of leading complex, multi-million-dollar deal negotiations and strategic alliances.

• Strong network of executive-level relationships with regional NCPs, colocation operators, or financial collaborators in the tech sector.

• Excellent communication skills with the ability to lead initiatives across diverse, multi-country teams.

Ways to stand out from the crowd:

• Multilingual Capabilities: Professional fluency in French

• AI-Powered Productivity: Proficiency in applying modern Generative AI productivity and research tools to optimize business execution and market analysis.

• Deep understanding of accelerated computing, AI factories, and liquid-cooled data center deployment challenges.

• Experience working with public sector entities or navigating regional sovereign AI regulations within the Canadian territory.

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!

Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 290,000 CAD - 340,000 CAD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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NVIDIA DGX Cloud is the AI supercomputing-as-a-service substrate designed to power the next generation of AI and industrial-scale breakthroughs. As a Security Engineer within our Infrastructure Security Engineering organization, you will not just help "secure" our platform—you will architect and build the foundational security primitives that protect massive-scale GPU clusters. You will design automated, resilient security systems that help ensure the integrity of our omni-cloud and on-premise AI infrastructure.

What You Will Be Doing

• Security Engineering: Design, build, and integrate production-grade security services. You will focus on the engineering of security products—transforming third-party and open-source tools into seamless, API-driven components of the DGX Cloud security stack.
• Automated Policy Enforcement: Shift security "left" by developing Infrastructure as Code and Policy as Code to automate security enforcement and compliance at the speed of cloud-scale deployment.
• Orchestration Security & Guardrails: Architect and implement the security control plane. You will engineer automated guardrails, controllers, and runtime security policies that validate and enforce the integrity of tenant boundaries.
• Security-as-a-Service Approach: Designing and operating security services as a scalable platform. Building "self-service" security primitives (e.g., Identity-as-a-Service, automated secrets management, and real-time scanning APIs) that allow developer teams to move fast.
• Security Tooling & Lifecycle: Develop internal security frameworks and automated response systems. Responsible for the full software development lifecycle (SDLC) of the security tools, including testing, deployment, and maintenance.
• Threat Modeling & System Design: Conduct deep-dive threat models on complex distributed systems and the DGX Cloud stack, identifying architectural gaps in security and engineering the solutions to close them.
• Multi-Functional Collaboration: Partner with DGX Cloud platform teams, broader NVIDIA security teams, and product engineering to understand their needs and build paved paths that seamlessly embed security into the CI/CD pipeline and the hardware lifecycle.

What We Need To See

• Infrastructure Engineering: Experience (typically 8+ years) in SRE, Software Engineering, and Infrastructure Security. You focus on building systemic solutions rather than performing manual operations or "tool administration."
• Production-Grade Coding: A strong software engineering background with the ability to write clean, maintainable, and well-tested code. You should be comfortable building and maintaining production service at scale.
• Distributed Systems Expertise: Understanding of cloud-native architecture, container orchestration (Kubernetes), and the security challenges inherent in high-throughput, low-latency environments.
• Platformizing Security: Transform complex security requirements into consumable internal services. You will focus on the "Developer Experience" of security, ensuring that our infrastructure security controls are delivered as robust, API-first platforms that integrate seamlessly with NVIDIA’s internal engineering workflows.
• Security Product Integration: Proven track record of taking complex security products (AuthN/AuthZ, Vaulting, Scanning, IDS) and integrating them into an automated infrastructure via APIs and custom glue-code.
• Linux Internals: Strong hands-on experience with Linux systems security, including kernel-level primitives (eBPF, AppArmor, or SELinux).
• Foundation: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

Ways To Stand Out From The Crowd

• HPC/AI Security: Experience securing high-performance computing environments, RDMA-based networks, or GPU-specific security challenges.
• Cloud-Native Identity: Expertise in workload identity frameworks (e.g., SPIFFE/SPIRE) and hardware-root-of-trust (TPM/HSM) integration.
• Open Source Impact: Notable contributions to security-focused open-source projects or a track record of engineering-focused security research. How have you represented and helped advance the industry?

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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NVIDIA DGX Cloud is the AI supercomputing-as-a-service substrate designed to power the next generation of AI and industrial-scale breakthroughs. As an Engineering Manager within our Infrastructure Security Engineering organization, you will enable the engineers who secure a GPU fleet numbering in the hundreds of thousands. Your team does not write reports about risk. It engineers whole classes of risk out of existence, and delivers the result as paved roads the rest of DGX Cloud will happily take.

What You Will Be Doing

• Grow the Team: Manage, coach, and develop a distributed team of senior security and infrastructure engineers. You own hiring, growth, and performance, and you build a bench deep enough that our capability never rests on one person. Heroics signal a system that needs fixing, so you protect sustainable pace.
• Set Technical Direction: Partner with your engineers on the roadmap for our security control plane, our foundational security services, and the path toward autonomous security operations. Leadership owns the mission and the strategy; the team owns the execution.
• Deliver Outcomes, Not Tickets: Run a lightweight planning rhythm where the team commits to a result and the reason it matters, then reflects openly on what to change next. We are measured by the risks we eliminate, not the tickets we close.
• Assemble Teams Around the Work: Staff each effort with the smallest group who can deliver it, and a clear owner accountable for landing it. Teams form around the work and dissolve when it's done. Make that motion fast, fair, and a real growth opportunity.
• Raise the Engineering Bar: Hold a high standard for what "done" means: tested code, observability, operational readiness, and documentation someone who didn't build the system can operate from. AI-assisted work ships with real human ownership behind it.
• Communicate Risk Upward: Translate a complex, fast-moving risk picture into something executives can act on. Declare the unknowns honestly, turn risk assessment into measurable themes, and make trade-offs legible to the people funding them.
• Multi-Functional Collaboration: Build the partnerships that make the work land. We operate horizontally across vertically organized teams, with influence rather than authority. Your credibility with DGX Cloud platform, SRE, networking, and broader NVIDIA security partners is a delivery mechanism, not a nicety.

What We Need To See

We are looking for high-caliber engineering leaders with deep spikes of expertise in a few of these areas and the intellectual curiosity to dive into the rest. If your experience aligns with the core of this role—building and growing teams that engineer risk out of existence—and you can show us how, we want to hear from you!

• Engineering Management: Experience (typically 7+ years) managing engineers, within a broader career (typically 14+ years) across software engineering, SRE, infrastructure, or security. You have grown people, not only shipped projects.
• Technical Credibility: Enough hands-on depth in infrastructure, distributed systems, or security engineering to earn the trust of senior engineers. You can review a design honestly and recognize when an estimate doesn't add up. You don't need to be the best engineer in the room; you need to build the room.
• Hiring and Developing Talent: A history of attracting, hiring, and growing excellent engineers, including people far more expert than you in their domain. You build interview and calibration practices that make hiring repeatable and fair.
• Delivery Under Ambiguity: You can take a high-stakes, loosely defined mandate and turn it into sequenced, measurable delivery. You are comfortable proving a model on a few systems first, then using that success to expand.
• Cloud-native and Security Fluency: Working understanding of cloud-native architecture, container orchestration (Kubernetes), identity and access, policy enforcement, and vulnerability management—enough to build it and ask the questions that matter.
• Influence Without Authority: Experience delivering through partner teams you do not own, in environments where relationships, not org charts, determine whether the work ships.
• Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

Ways To Stand Out From The Crowd

• HPC/AI Infrastructure: Experience running teams that secure or operate high-performance computing environments, large GPU fleets, or multi-tenant platforms at cloud scale.
• Security as an Internal Product: You have delivered security or infrastructure capabilities with real adoption metrics, where teams took the paved road because it was the easiest path.
• Building a Function from Scratch: Experience standing up a team, a practice, or an engineering culture where none existed—charter, agreements, rituals, and all.
• Scaling Without Dilution: A history of growing a team quickly while the bar went up rather than down. How have you scaled a team and raised the standard at the same time?

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 245,000 CAD - 295,000 CAD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

#J-18808-Ljbffr

Headquarters: Remote
URL: https://www.nvidia.com/en-us/

 

To apply: https://weworkremotely.com/remote-jobs/nvidia-global-immigration-specialist