Director Strategic Sourcing – Hardware Infrastructure jobs at Nvidia

What you’ll be doing:

• Design, build, and run cloud infrastructure services in scope to meet our business goals performing integrations, migrations, bringups, updates, and decommissions as necessary.

• Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy.

• Eliminate toil or automate it where the ROI of building and maintaining automation is worth it.

• Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation.

• Consult with and provide consultation for peer teams on systems design best practices.

• Participate in a supportive culture of values-driven introspection, communication, and self-organization

What we need to see:

• Proficiency in one or more of the following programming languages: Python or Go

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.

• 5+ years of relevant experience in infrastructure and fleet management engineering.

• Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems at scales requiring fully automated management and under active customer consumption in production.

• A track record demonstrating a mix of initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others.

• In-depth knowledge in one or more of the following: Linux, Slurm, Kubernetes, Local and Distributed Storage, and Systems Networking.

Ways to stand out from the crowd:

• Demonstrating a systematic problem-solving approach, coupled with clear communication skills and a willingness to take ownership and get results such as experience driving a build / reuse / buy decision.

• Experience working with or developing bare metal as a service (BMaaS) associated systems. For example, vending BMaaS, or Slurm running on containers, or vending Kubernetes clusters. Experience working with or developing multi-cloud infrastructure services. Experience teaching reliability engineering (e.g. SRE) and/or other scale-oriented cloud systems practices to peers and/or other companies (e.g. CRE). Experience in running private or public cloud systems based on one or more of Kubernetes, OpenStack, Docker or Slurm.

• Experience with accelerated compute and communications technologies such BlueField Networking, Infiniband topologies, NVMesh, and/or the NVIDIA Collective Communication Library (NCCL).

• Experience working with a centralized security organization to prioritize and mitigate security risks. Prior experience in a ML/AI focused role or on a team matching specific keywords is welcome but not required.

As a senior manager in our global IT PMO team, you will be accountable for critical infrastructure programs supporting Compute platforms and IT Automation. As a leader of these initiatives, you will drive the operating model, scaling approach and playbooks with delivering programs at scale.

What you'll be doing:

• Lead, mentor, and develop a diverse team of Technical Program Managers, fostering professional growth and a culture of accountability and innovation.

• Serve as a force multiplier across the organization by enabling effective coordination of cross-functional initiatives and managing complex interdependencies.

• Promote collaboration in a fast-paced, dynamic environment while guiding teams through uncertainty with clarity, technical insight, and a results-oriented mindset.

• Establish and maintain best-in-class program management practices to optimize delivery efficiency, mitigate risk, and ensure consistent execution excellence.

• Drive continuous improvement by implementing data-driven feedback mechanisms and leveraging metrics to identify and act on opportunities for optimization.

• Own and manage the Infrastructure program portfolio, ensuring alignment with organizational goals, strategic priorities, and resource capacity.

• Lead quarterly portfolio planning sessions to align stakeholders on dependencies, risks, and prioritization of initiatives. Deliver clear, data-driven updates to senior stakeholders, tracking progress against key performance indicators and strategic objectives.

• Evaluate and prioritize new program requests based on strategic value, business impact, and available capacity. Monitor and assess portfolio performance, identifying improvement areas and providing actionable recommendations to leadership.

What we need to see:

• Bachelor's Degree in computer science, other related technical field or equivalent experience.

• 12+ overall years of IT experience.

• 7+ years of experience successfully leading technical programs in a fast paced, multifaceted, enterprise environment.

• In depth technical knowledge of IT infrastructure within Automation, platforms, SW development and observability, and Compute Systems such as OpenShift.

• Deep understanding of infrastructure standards and methodologies to optimize for quality and efficiency. Experience with various continuousintegration/deploymentmodels for large organizations will be important, as well as a foresight towards how to adopt and integrate such practices into a very dynamic infrastructure environment.

• Certified Scrum Master or Certified Scrum Trainer certification or equivalent preferred.

• Proven history of continuous improvement to enable higher performingprogram/organizationsand/or teams with improved business and customer outcomes.

• Consistent track record of delivering critical infrastructure builds, while navigating a fast-paced environment with frequent shift in priorities.

• Effective communication skills both written andverbal/presentations.Ability to bridge from high-level objectives to project details and vice-versa.

• Willingness to work with distributed team members across different time zones.

What you'll be doing:

• Building and maintaining infrastructure from first principles needed to deliver TensorRT LLM

• Maintain CI/CD pipelines to automate the build, test, and deployment process and build improvements on the bottlenecks. Managing tools and enabling automations for redundant manual workflows via Github Actions, Gitlab, Terraform, etc

• Enable performing scans and handling of security CVEs for infrastructure components

• Improve the modularity of our build systems using CMake

• Use AI to help build automated triaging workflows

• Extensive collaboration with cross-functional teams to integrate pipelines from deep learning frameworks and components is essential to ensuring seamless deployment and inference of deep learning models on our platform.

What we need to see:

• Masters degree or equivalent experience

• 3+ years of experience in Computer Science, computer architecture, or related field

• Ability to work in a fast-paced, agile team environment

• Excellent Bash, CI/CD, Python programming and software design skills, including debugging, performance analysis, and test design.

• Experience with CMake.

• Background with Security best practices for releasing libraries.

• Experience in administering, monitoring, and deploying systems and services on GitHub and cloud platforms. Support other technical teams in monitoring operating efficiencies of the platform, and responding as needs arise.

• Highly skilled in Kubernetes and Docker/containerd. Automation expert with hands-on skills in frameworks like Ansible & Terraform. Experience in AWS, Azure or GCP

Ways to stand out from the crowd:

• Experience contributing to a large open-source deep learning community - use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.

• Experience in defining and leading the DevOps strategy (design patterns, reliability and scaling) for a team or organization.

• Experience driving efficiencies in software architecture, creating metrics, implementing infrastructure as code and other automation improvements.

• Deep understanding of test automation infrastructure, framework and test analysis.

• Excellent problem solving abilities spanning multiple software (storage systems, kernels and containers) as well as collaborating within an agile team environment to prioritize deep learning-specific features and capabilities within Triton Inference Server, employing advanced troubleshooting and debugging techniques to resolve complex technical issues.

• Be an integral part of the team defining, developing, and delivering system-level methodologies and RTL to measure performance on the industry's leading GPUs and SOCs

• Define, develop, and automate flows and methodologies to efficiently build, deliver, and support a system-level IP

• Deliver IP and support projects by applying the performance monitoring system

• Run and debug RTL checks to ensure design quality (e.g., cross clock domains (CDC), clocks, reset, latency, and more)

• Design and implement RTL features (microarchitecture and RTL)

• Work with architects, designers, and software engineers to accomplish your tasks

• BS or equivalent experience in Electrical Engineering, Computer Engineer, or related degree required, advanced degrees (MS, PhD) a plus

• 3+ years of relevant industry experience and strong coding skills in Perl/Python or other industry-standard scripting languages

• Experience in RTL design (Verilog), verification (SystemVerilog), System-On-Chipdesign/implementationflow, and design automation

• Good understanding of SOC architecture, including CDC, multiple-power domains, performance analysis, latency, and data flow

• Excellent debugging and analytical skills

• Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB)

• Great communication and collaboration skills to interact within the team and with cross-functional teams

• Hands on experience in object-oriented programming

• Prior design on system level IP (Clocks/DFT/Resets)

• Experience developing methodologies used by others

• Hands- on silicon debug is a plus.

• Exposure to physical design

What you'll be doing:

• Develop and deploy in-house tools and workflows to support engineering business units across NVIDIA.

• Take ownership of tools that verify common design blocks used in all products at NVIDIA.

• Act as a "DevOps" engineer for automated RTL generation by developing new features and maintaining efficient operations for existing users.

• Build new workflows and methodologies to ensure smooth integration into various IP development environments.
  

What we need to see:

• Bachelor’s or Master’s degree in Electrical Engineering or Computer Engineering (or equivalent experience).

• 3+years of proven experience preferred.

• Solid understanding of fundamental digital design concepts with hands-on experience in Verilog.

• Proficiency in scripting using modern Python and/or Perl.

• Experience with Unix/Linux shell scripting and Makefiles.

• Strong ability to collaborate with multi-functional teams and effectively communicate technical details.

Ways to stand out from the crowd:

• Prior experience in ASIC verification.

• Knowledge of Clocks/Resets design and verification.

• Exposure to CDC related design/verification flows.

• Exposure to backend flows (Synthesis, Timing, etc).

What you'll be doing:

• Onboard new repair partners and manage day-to-day repair operations across our sites, ensuring all facilities achieve turnaround time and quality targets.

• Lead daily operational reviews with repair partners to track key operational metrics, resolve bottlenecks, and enforce accountability for on-time delivery and repair commitments.

• Function as the key intermediary between repair partners and NVIDIA internal teams — Engineering, Quality, Procurement, Logistics, and Planning — to set shared goals and overcome barriers to meeting targets.

• Drive continuous improvement in repair processes, capacity utilization, yield, and quality through structured root-cause and corrective-action initiatives.

• Coordinate repair commit performance (planned vs. actual), monitoring metrics such as on-time completion rate, FA/bonepile recovery time, turnaround time, and test yield.

• Evaluate capital expenditures and repair expenses, and hold quarterly business meetings with repair collaborators.

• Partner with Engineering and Quality to implement repair process controls, engineering change management, and compliance audits.

• Work with Planning and Procurement to ensure supply chain readiness for new service offerings and ongoing repair builds.

• Champion operational excellence by ensuring sites meet quality and delivery commitments, improving metrics.

What we need to see:

• Bachelor’s degree in Engineering, Operations, Supply Chain, or equivalent experience.

• 15+ overall years of hands-on operations experience managing technology repair, refurbishment, or production environments.

• 8+ years ofmanagement/leadershipexperience in reverse logistics or repair operations, including managing multiple sites and vendors (domestic and international).

• Established record of managing daily factory performance, tracking critical metrics, and ensuring vendor accountability.

• Strong understanding of OEM server, PCBA, and system test processes.

• Experience implementing process improvements, capacity planning, and inventory control systems at repair or manufacturing facilities.

• Demonstrated ability to lead cross-functional teams (Engineering, Quality, Planning, Procurement) and deliver measurable performance gains.

• Data-driven decision maker with excellent problem-solving, communication, and vendor management skills.