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What You’ll Be Doing:
Lead the product strategy and execution for NVIDIA’s Omniverse Digital Twin platform focused on Digital Twin robotics and automation integration use cases. Drive cross-functional alignment and deliver features that enable scalable, Physical AI-powered simulation solutions.
Define and manage roadmap, use cases, and user journeys for industrial digital twins
Translate customer needs into clear, prioritized requirements
Partner with engineering to drive execution and technical trade-offs
Serve as a voice of the customer across development and GTM teams
Mentor and guide junior PMs to grow product leadership capacity
POR & One-page summaries of strategic intent
Product roadmap with quarterly milestones and long-term vision
PRDs with use cases, personas, and workflows
Capability and release launch plans in coordination with GTM and engineering
What We Need To See:
7+ years in product management, including experience owning sophisticated platform or developer-facing products.
BS or MS in Computer Science, Engineering, or equivalent experience.
Confident navigating cross-functional leadership and high-stakes decision-making, with the ability to lead product initiatives and drive alignment.
Background in robotics, automation, simulation, or digital twins — or a proven track record to ramp up quickly in highly technical domains.
A strategic and systems thinker, equally comfortable defining big-picture vision and execution details.
Experience in both startup and large enterprise settings; adaptable, pragmatic, and process-aware.
Ways To Stand Out From The Crowd:
Strong sense of purpose and ownership, with an ability to prioritize, deliver product, and encourage those around you.
Humble, collaborative, and curious, always seeking new ways to tackle problems and empower your team.
You will also be eligible for equity and .
These jobs might be a good fit

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What You Will Be Doing:
Bring new products and new technologies to high volume manufacturing
Deliver datamation solutions for enhanced decision making
Manage supplier performance evaluation matrix and keep it updated based on changing business needs
Drive continuous improvement in manufacturing yield, cycle time and product quality/reliability
Lead change control through qualification and notification
Lead non-conforming material disposition
Manage BOM supply chain and optimize sourcing solutions for best capacity and cost
What We Need To See:
Master’s degree or higher in Engineering or Science with emphasis on Mechanical, Materials Science, Chemical Engineering fields (or equivalent experience)
12+ years of validated experience in Flip Chip semiconductor packaging design, process and materials development. Direct experience in advanced assembly technologies such as 2.5D/3D packaging, Photonics packaging experience is desirable
Solid technical knowledge of materials, process, package design and equipment technologies in substrate, bumping, and chip assembly
Strong skills in project management and supplier management
Solid understanding of quality control, statistics process control, gage R&R and DOE techniques
Good knowledge of packaging industry and its supply chain
Excellent written and verbal communication skills
Experience working with multi-functional teams across the world
You will also be eligible for equity and .

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What you'll be doing:
Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research
Develop novel approaches to quantum error correction codes and their logical operations, including methods for implementation and logical operation synthesis
Research and co-design improved methods to achieve fault tolerance, such as techniques for logical operations, concatenation, synthesis, distillation, cultivation, or others
Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware
Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving
What we need to see:
Degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. preferred)
Extensive background in Quantum Information Science with 8+ overall years of experience in the Quantum Computing industry
A demonstrated ability to deliver high impact value in quantum error correction and fault tolerance
Ways to stand out from the crowd:
Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning
Experience with co-design of quantum error correction with quantum hardware or quantum applications
Experience with CUDA and NVIDIA GPUs
Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing
You will also be eligible for equity and .

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What You'll Be Doing:
Serve as a trusted technical consultant for developers implementing NVIDIA Physical Ai technology and World Foundation Models.
Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
Advise on technical enablement resources such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in Physical Ai with VLM’s and multimodal generative models.
Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.
Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Work closely with partner engineering teams, technical leaders, and decision-makers to uncover goals, tackle technical challenges, and endorse protocols for successful integrations.
Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
What We Need to See:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in Physical Ai, Generative Ai or Omniverse.
Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative Ai, applied machine learning, or physical AI development.
Strong foundation in deep learning algorithms, including hands-on experience with LLMs, VLMs, multimodal generative models and World Foundation Models.
Experience with model quantization and modern inference optimization techniques (e.g., KV cache, in-flight batching, parallelization mapping).
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers toexecutives.
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).
Ways to Stand Out from the Crowd:
Hands-on experience building or optimizing vertical-specific solutions such as deploying LLMs, VLMs, diffusion models, or World Foundation Models (WFMs) at scale in real-world applications, especially for robotics or autonomous vehicles.
Experience with data curation pipelines and tools like NVIDIA NeMo Curator for large-scale video data processing and model post-training.
Direct experience with NVIDIA Cosmos, Isaac Sim, Isaac Lab, or Omniverse platforms for synthetic data generation and physical AI simulation.
Proficient in building, optimizing, and deploying models using PyTorch or TensorFlow in production-grade environments.
Successful history of building and scaling developer communities and delivering impactful technical enablement
You will also be eligible for equity and .

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NVIDIA is seeking a Senior Technical Program Manager to lead the Infrastructure and Product Security and Compliance program for DGX Cloud. In this role, you will ensure our platforms and partner ecosystem meet the highest standards of trust, resilience, and governance.
As a Senior TPM focused on Cloud Security, you will own the design and execution of a DGXC-wide infrastructure security program that strengthens how DGXC operates with Cloud Service Providers (CSPs) and NVIDIA Cloud Partners (NCPs). You will drive security initiatives by embedding compliance controls, governance frameworks, and best practices across infrastructure, platform, and product teams. This role also ensures Product Security is integrated into product roadmap planning and the software development lifecycle, aligning product and infrastructure priorities. You will work closely with senior leaders and cross-functional teams in Security, Compliance, DevOps, and Engineering to continuously enhance and scale the DGX Cloud Security Posture.
What You’ll Be Doing:
Lead alignment across engineering, product, security, and partner teams to deliver against cloud security guidelines with CSP and NCP partners.
Drive programs that strengthen vulnerability management, access control, patching, and compliance readiness for SOC 2, ISO 27001, and related certifications.
Operate DGXC-wide security engineering forums and processes, establishing security KPIs, dashboards, and “run safe” SRE practices.
Partner with the CISO organization to define and assess emerging cloud providers against DGX Cloud security requirements, driving measurable improvements and action plans.
Implement and evolve security controls frameworks (e.g., SSH hardening, IAM, secret rotation) in CI/CD pipelines to ensure continuous compliance.
Lead certification readiness and audit cycles, including SOC 2 Type 1 & 2 and ISO 27001, from control mapping through evidence collection and remediation.
Chair the DGX Cloud Security & Compliance Working Group, managing governance reviews, risk dashboards, and executive reporting on posture and metrics.
Develop training programs to build security and compliance awareness across Product, DevOps, and Engineering teams.
Create playbooks and automation frameworks that streamline certification renewals, patching cycles, and vulnerability management workflows.
Maintain and continuously improve technical compliance documentation, including system diagrams, process flows, and control mappings.
What We Need to See:
12+ years of Program Management experience driving the planning and execution of large programs, software engineering projects in a fast paced environment.
Consistent track record delivering successful Security, Risk, and/or Compliance programs, particularly in cloud IaaS and SaaS environments, resulting in full certification of a suite of products and services.
Experience leading efforts related to SOC2 (Type 1 and Type 2) audits and readiness, including leading control implementation (e.g., access controls, change management, vulnerability management).
Experience operationalizing vulnerability management, patch management, SSH key governance, and access controls across distributed systems.
Ability to think strategically and tactically and to build consensus in making programs successful; ability to resolve technical issues and resource constraints across cross-functional teams.
Demonstrated ability to define metrics, dashboards, and risk indicators that measure posture improvement and audit readiness.
Proficiency with tools like JIRA, to comfortably guide engineering teams on execution in an Agile/scrum manner and ensure accurate governance artifacts are delivered.
Excellent executive communication and presentation skills able to distill complex technical and compliance topics for senior leadership
MS EE or CS degree, or equivalent experience.
Ways to Stand Out from the Crowd:
Highly motivated with strong interpersonal skills, with proven track record to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies.
Experience implementing security features in a multi-cloud environment.
Experience with sophisticated compliance programs, such as FedRamp, SCO2, or ISO certification efforts.
Solid understanding of tier 1 cloud technologies (AWS, GCP, Azure, OCI).
Experience with productivity tools and process automation.
You will also be eligible for equity and .

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NVIDIA is searching for a world-class researcher in generative AI to join our research team. You will be conducting original research for generative AI applications, including image generation, video generation, 3D generation, and audio generation. You will be working with a team of world-class researchers eager to make great impacts with generative AI models. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.
What you'll be doing:
Conduct original research in the space of generative AI
Implement and train large-scale generative AI models for various content creation applications
Collaborate with other research team members, a diverse set of internal product teams, and external researchers
Have a broader impact through the transfer of the technology you've developed to relevant product groups
What we need to see:
Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
5+ years of relevant research experience.
Excellent collaboration and interpersonal skills
Excellent python/C++ programming skills
Great knowledge of common deep-learning frameworks
Experience in processing or curating large-scale datasets
Excellent knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics
Track record of research excellence or significant product development
You will also be eligible for equity and .

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What you'll be doing:
Lead sophisticated programs focused on improving the quality and efficiency of data center infrastructure, hardware, and software domains with multi-year strategic roadmaps and cross-
Drive technical execution from requirements gathering through production launch, including writing technical specifications, coordinating release schedules, and ensuring operational readiness across multiple team dependencies
Own server hardware development, testing, and integration efforts for computing products, working closely with original design manufacturers and contract manufacturers on new product introductions at global manufacturing scale
Partner with software development teams to build automation programs for large-scale infrastructure testing and develop solutions that enhance operational performance across highly concurrent, high-throughput distributed systems
Guide enterprise network infrastructure and data center operations initiatives covering servers, storage, networking, power, and cooling systems while serving as domain leader for manufacturing test infrastructure
Lead continuous improvement initiatives for engineering processes, quality management, and operational excellence while leading risk mitigation strategies and critical path oversight
Build trusted partnerships across hardware teams, security professionals, supply chain, operations, and product management to drive technical decisions and resolve sophisticated multi-functional dependencies
What we need to see:
Bachelor's degree in Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or related technical field, or equivalent experience
12+ years working directly with engineering teams with demonstrated technical program management experience
More than 7 years of practical program or project management expertise being responsible for intricate technology ventures involving teams with multifaceted strengths
5+ years of software development experience with proficiency in programming languages.
5+ years leading hardware product development and new product introduction on a global manufacturing scale
Deep technical expertise in server, network, or storage product architecture and manufacturing test development
Strong understanding of large-scale distributed systems, data center infrastructure, and enterprise network architecture
Experience with Linux/Unix or Windows system administration, database management, and infrastructure automation
Demonstrated ability to lead programs across multiple teams, handle project scope, schedule, budget, and quality, and maintain executive-level relationships
Ways to stand out from the crowd:
8+ years directly leading sophisticated technology projects with experience designing and architecting highly reliable, scalable systems
Track record launching AI or ML server products with new technology enablement such as Liquid Cooling
Experience leading manufacturing test engineering teams within the server, network, or storage sector with expertise in Design for Excellence methodologies
Knowledge of security engineering, cryptography, quality management systems, and supply chain operations
Demonstrated single-threaded ownership of strategic programs with demonstrated ability to deliver groundbreaking systems independently in fast-paced, ambiguous environments
You will also be eligible for equity and .

Share
What You’ll Be Doing:
Lead the product strategy and execution for NVIDIA’s Omniverse Digital Twin platform focused on Digital Twin robotics and automation integration use cases. Drive cross-functional alignment and deliver features that enable scalable, Physical AI-powered simulation solutions.
Define and manage roadmap, use cases, and user journeys for industrial digital twins
Translate customer needs into clear, prioritized requirements
Partner with engineering to drive execution and technical trade-offs
Serve as a voice of the customer across development and GTM teams
Mentor and guide junior PMs to grow product leadership capacity
POR & One-page summaries of strategic intent
Product roadmap with quarterly milestones and long-term vision
PRDs with use cases, personas, and workflows
Capability and release launch plans in coordination with GTM and engineering
What We Need To See:
7+ years in product management, including experience owning sophisticated platform or developer-facing products.
BS or MS in Computer Science, Engineering, or equivalent experience.
Confident navigating cross-functional leadership and high-stakes decision-making, with the ability to lead product initiatives and drive alignment.
Background in robotics, automation, simulation, or digital twins — or a proven track record to ramp up quickly in highly technical domains.
A strategic and systems thinker, equally comfortable defining big-picture vision and execution details.
Experience in both startup and large enterprise settings; adaptable, pragmatic, and process-aware.
Ways To Stand Out From The Crowd:
Strong sense of purpose and ownership, with an ability to prioritize, deliver product, and encourage those around you.
Humble, collaborative, and curious, always seeking new ways to tackle problems and empower your team.
You will also be eligible for equity and .
These jobs might be a good fit