דרושים Director Computing Infrastructure Program Management ב-אנבידיה ב-ארהב

What you will be doing:

• Drive strategic CSP partnerships, collaborate with keyhyperscaleCSPs to align project schedules, priorities, and technical roadmaps for next-generation data center platforms.

• Manage complex technical collaborations proactively, identifying and resolving critical issues before they impact customer deployments.

• Orchestrate internal stakeholder alignment ensuring CSP priorities are reflected across NVIDIA's engineering, product, and business.

• Create comprehensive customer program visibility through executive dashboards, status reports, and metrics tracking that provide real-time insights into CSP project health, risks, and milestone achievement.

• Lead large-scale deployment programs managing multi-rack, hyperscale infrastructure rollouts with complex technical dependencies, timeline coordination, and resource alignment across multiple internal teams.

What we need to see:

• Technical Expertise: Solid understanding of system software design, OS fundamentals, Linux kernel development, and hardware/software interfaces. Experience in GPU-based data center server architectures.

• Program Management: Proven ability to lead software development for rack-scale systems and data center servers, including complex hardware/software integration projects.

• Industry Collaboration: Experience partnering with hyperscalers to drive technical outcomes, manage dependencies, handle escalations, and communicate effectively at the executive level.

• Communication & Leadership: Exceptional ability to translate technical concepts for business stakeholders and align diverse teams toward common goals.

• BS or MS in Computer Engineering, Computer Science, or related field or equivalent experience.

• 8+ years of technical program management experience in HPC or data center server software development.

Ways to stand out from the crowd:

• Prior hands-on technology development experience in out-of-band manageability and observability solutions, system software/Linux kernel driver development, CUDA programming, or LLM/AI framework development.

What you’ll be doing:

• Lead communications strategy and execution for quantum computing, computer-aided engineering (CAE), simulation and modeling technologies

• Collaborate with business leaders, marketing leads and industry partners to develop and tell compelling stories

• Develop key messages that resonate with external audiences

• Pitch and manage stories with reporters to secure impactful press coverage

• Nurture strong long-term relations with general and technology media

What we need to see:

• 8+ years of PR/comms experience at leading tech companies/agencies and a bachelor’s degree or equivalent experience

• Experience leading media relations strategy and execution in a high-stakes environment

• Outstanding communication skills, including professional writing abilities and verbal communication

• Ability to uplevel technical messages into compelling narratives that are understandable to audiences of all types

• Demonstrate an eagerness to go above and beyond, seek out challenges, and anticipate needs before they arise

• Able to think outside of launches and announcements to keep PR momentum going through proactive opportunities

• Highly detail-oriented with outstanding project-management skills

• Proven ability to generate great media coverage for technology

• Creative, collaborative, and organized, with a knack for balancing multiple projects

Ways to stand out from the crowd:

• PR experience in AI, enterprise, quantum computing or CAE

• Voracious appetite for AI, enterprise, quantum computing and CAE news

• Strong relationships with technology reporters in the data center, quantum computing and CAE space

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.

What you'll be doing:

• Define the strategy and execution plans for successfully integrating complex AI model tech stacks in customer environments, fromevaluation/proof-of-concepttodesign/development/qualification/validation,to production launch

• Execute the plan you craft by: scoping the project, identifying and assembling the core support team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral/tools, leading engineering design reviews, ensuring the implementation of certain customer-required features, driving resolution of any blocking issues, and ensuring timely customer acceptance and production deployment

• Translate customer requirements into specific tasks and assign those tasks to relevant functional areas with ease. Collecting, prioritizing, tracking, and driving customer-reported issues to resolution/closure is a key focus of this role.

• Clearly and intelligently communicate issue status to the customer and internal (including executive) teams

• Work closely with engineering, product management, and sales teams to resolve technical issues, set correct expectations and keep the scope of the projects on track to successful execution

• Effectively organize and lead complex technicalengineering-to-engineeringdiscussions

• Correctly represent the urgency of issues and raise them (internally and/or externally) as appropriate

• Regularly communicate program status and key issues to management

• Develop a close working relationship with customer development teams and use creativity to find solutions to their issues

What we need to see:

• BS/MS Engineering or Computer Science (or equivalent experience)

• 8+ years in a high-tech electronics industry with a focus on program/project management

• Experience and therefore deep customer savvy born of running significant and complex software engagement programs, especially with strategic customers with large datacenter deployments

• Strong technical savvy, including software qualification and deployment on AI infrastructure in a datacenter OR Cloud

• Supreme leadership skills across broad and diverse functional teams

• Validated history of 5+ years of project/program management of software product solutions

• Strong technical background and experience working with customers in a clouddevelopment/deploymentand/or OEM environment

• Experience leading global projects

Ways to stand out from the crowd:

• Graphics, and/or cloud datacenterdevelopment/deploymentexperience desirable

• Comfortable defining and executing complex program schedules with intimate understanding of dependencies, critical paths, key and critical landmarks, and deliverables

• Consistent record of handling multiple customers and customer programs across worldwide geographies and time zones