Technical Product Management Intern Cuda - Fall jobs at Nvidia

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.

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:

• Define and Prove: Collect insights and build market analysis that provides the data to enter or change new markets through a clear value proposition for physical AI reasoning capabilities

• Market intelligence: Understand robotic, autonomous vehicle, and industrial automation developers, partners, and the physical AI ecosystem

• Build and Deliver: Collaborate with research and engineering to promote the customer's needs through setting feature priorities across roadmaps

• Sense and Respond: Work closely with customers, build surveys, present at conferences, understand product quality and supervise critical features, improvements, and bugs.

• Marketing content creation: Work with marketing to define positioning that enables the creation of technical content, including blog posts, webinars, developer tutorials, and more to communicate the product value proposition

• Product launches: Define the go-to-market strategy and provide guidance to the cross-functional implementation of the plan across marketing, public relations, and sales.

What we need to see:

• BS or MS in Computer Science, Engineering, or other technical field (or equivalent experience).

• 12+ years of product management, or similar, experience at a technology company

• Passionate about working at the intersection of ground breaking research and practical product development, driving teams to translate breakthrough innovations into shippable software, services, libraries, and SDKs.

• Proven track record of collaboration across teams, customers, and partners

• Extensive experience working in highly matrixed environments, able to lead through influence and corral and align many teams on a common vision

• Outstanding interpersonal and public communication skills with a shown ability to articulate a value proposition to technical and non-technical audiences.

Ways to stand out from the crowd:

• Experience working with multimodal Large Language Models, specifically with curating data, training or fine-tuning, and using reinforcement learning

• Thorough understanding of physics, robotics and/or autonomous vehicles

• Extensive knowledge of 3D graphics, computer vision, spatial computing pipelines, and related tools/ecosystems (e.g., game engines, VFX tools, simulation platforms)

• Background in motion capture, virtual production, or real-time rendering workflows

What you’ll be doing:

• Lead positioning, messaging and launches for key data science and processing products

• Develop technical content such as blogs, videos, and presentations to help data scientists embrace NVIDIA’s SDKs

• Support go-to-market for NVIDIA hardware platforms for data processing as part of cross-functional team

• Conduct competitive and ecosystem analysis to develop positioning and focus promotion

• Engage with the data science community directly and present key technologies at events

• Derive insights from customer adoption trends and share with internal teams

What we need to see:

• 8+ years’ experience with launching, go-to-market and scaling technical product adoption for data scientists or developers.

• Bachelors degree in a scientific or technical field (or equivalent experience).

• Knowledge of data science packages and machine learning frameworks.

• You love and thrive in a cross-functional organization, by collaborating with peers across teams and functions.

• Excellent written and spoken communication skills.

• Experience presenting at meetings, conferences, and webinars.

• Strong grasp of content marketing and social media methodologies.

• Comfortable reviewing Python code used in presentations, demos, and articles.

Ways to stand out from the crowd:

• Clearly communicate your understanding of NVIDIA’s strategy and technology.

• Measurable impact (metrics, awards, key accomplishments) you can share.

• Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.

What you’ll be doing:

• Agentic Workflow Design: Build autonomous agents that handle the full TPRM lifecycle.

• Employ Generative AI Technology like embeddings, RAG, or LLM agents for summarizing vendor responses.

• Continuous Monitoring Automation: Build event-driven integrations (webhooks, serverless functions) to react to vendor risk score changes or asset discovery events.

• NLP and ETL Automation: Use Natural Language Processing (NLP) for extracting structured data from vendor documents and maintain pipelines for ingesting and correlating vendor risk data, findings, and compliance metrics.

• Integration Architecture: Design modular, API-based pipelines connecting TPRM tooling (LogicGate/OneTrust) with Databricks, Jira, and data warehouses.

• Domain Alignment: Apply deep understanding of the TPRM Lifecycle (onboarding, risk tiering, assessment, remediation) and ensure security relevance based on frameworks such as NIST CSF 2.0, ISO 27001, SOC 2, and CMMC mappings.

• Risk Modeling: Integrate knowledge of Risk Scoring Models (e.g., BitSight scores) into inherent and residual risk calculations.

What we need to see:

• API Engineering: Experience integrating data from security and GRC systems such as BitSight, LogicGate, ServiceNow, or Jira.

• Workflow Automation Tools: Understanding of orchestration and automation systems such as Tines, n8n, Cortex XSOAR for prototypes).

• Data Modeling & Pipelines: Ability to design and maintain data models for vendor metadata, risk scores, and control test results.

• Proficient in using tools like Cursor, Claude, Gemini, or similar frameworks to develop agentic automations for data analysis and workflow execution.

• Observability & Metrics: Ability to implement logging, monitoring, and metrics dashboards (e.g., PowerBI) for TPRM automation health.

• 8+ years of proven experience in cybersecurity with a focus on automation, security engineering, or architecture.

• Communication & System Thinking: Strong cross-functional communication. System thinking to translate policy/compliance goals into technical automation design.

• Leadership: Innovation mindset: Ability to propose and prototype emerging AI approaches responsibly; Excellent Documentation & Knowledge-sharing skills of automation architecture, runbooks, and control mappings.

• Minimum bachelor’s degree or equivalent experience in a technology or relevant scientific field required.

Ways to stand out from the crowd:

• Certifications in one or more of the following areas: CIPP, CISSP, CISA, CISM, CRISC.

• Proficiency in using third-party risk management platforms such as OneTrust, RSA Archer, or similar tools.

• Hands-on experience with developing and maintaining metrics dashboards for Cybersecurity programs.

• Demonstrated ability to manage and mitigate risks associated with a large and diverse portfolio of third-party vendors.

What you’ll be doing:

• Understand and Supervise Our Performance Measurement Needs: Work with customers, sales and field to understand key established and potential workloads for our Accelerated platforms, and areas and market segments that need to be more competitive. Translate these to

• Become an Expert on Performance Comparison: Advise performance teams on how to develop like-for-like workload comparisons. Ensure methodologies are robust, accurate, and relevant, leading to reliable performance benchmarks.

• Tell Our Story, from Marketing to R&D: Work with technical marketing and develop internal reporting content that effectively communicates performance outcomes. Ensure content is clear, accurate, and tailored to the audience, whether it be internal partners or potential clients.

• Understand Our Customers and Help Them Succeed: Effectively engage with key customers and engineers to conduct performance and workload studies. Work closely with customers to understand their needs and provide insights and solutions based on performance data.

• Help the Team Grow and Scale: Supervise current performance measurement and collection processes. Advise on and implement strategies to make these processes more scalable and efficient, ensuring they can adapt to evolving workload demands and technology changes. Keep data fresh and current.

• Understand the Competitive Landscape: Stay informed of competing products and SKUs, modeling their KPIs. Keep a pulse on industry trends and advancements in silicon technology, compilers, software, libraries, and performance measurement. Use this knowledge to advise strategies and practices within the team.

• Keep Our Projects Running Efficiently: Prioritize resources throughout the company in use for performance measurement, and identify gaps in coverage.

• Share Your Knowledge: At the intersection of compilers, tools, silicon, and platform architecture, build detailed technical documentation to address common performance concerns and optimizations.

What we need to see:

• Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent experience.

• 10+ years of Product Management or Product-adjacent supporting experience.

• Organized and methodical; able to define key product metrics, structure and track them, and keep business data up-to-date.

• Ability to produce clear, concise communication appropriate to various audiences: break down sophisticated technical performance summaries to brief updates for management, customer stories for marketing usage, or deep analysis to inform engineering changes.

• Proven understanding of software optimization, profiling, and performance analysis.

• Experience in engaging with customers for proof-of-concept and pre-sales activities.

• Strong project management skills with an emphasis on scalability and organization.

• Excellent communication and teamwork skills, with the ability to translate technical concepts for a non-technical audience.

• Strong analytical abilities.

What you'll be doing:

• Create products to help researchers and production model builders

• Develop product strategy, roadmaps, and go-to-market plans

• Collaborate with internal and external customers to build product-based roadmaps for training/post training software

• Work with leadership to align with and drive company strategy

What we need to see:

• Experience with training/post training and optimization software (ex. PyTorch distributed, torchtitan, VeRL, Nemo Framework, etc.)

• Demonstrable knowledge of GenAI or machine learning concepts, particularly around model training, performance optimization, and software development and delivery

• Experience with large scale distributed systems

• BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience)

• 15+ years of technical product management, or similar, experience at a technology company

• Strong communication and interpersonal skills

Ways to Stand Out from the crowd:

• Experience leading GenAI/RecSys research to production at scale

• Working on Open Source & Github-first developer products with deep customer interactions

• Knowledge of GPU architecture, HW/SW co-design, and performance profiling