Software Engineering Manager Ai Infrastructure Services - Dgx Cloud jobs at Nvidia

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.

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

What you’ll be doing:

• Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.

• Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.

• Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.

• Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

• Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.

• Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

• 7+ years of Solutions Engineering (or similar Sales Engineering roles) experience.

• Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI

• Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.

• Effective time management and capable of balancing multiple tasks.

• Ability to communicate ideas clearly through documents, presentation, etc.

Ways to stand out from the crowd:

• AWS, GCP, Azure or OCI Professional Solution Architect Certifications

• Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)

• Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.

• Solid working knowledge of Python

• System-level experience, specifically GPU-based systems

You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.

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.

What you’ll be doing:

• Develop and test sample applications for chemistry and materials discovery using artificial intelligence.

• Help develop AI first workflows using NVIDIA technology and popular deep learning frameworks.

• Create clear, practical examples and documentation for developers and researchers.

What we need to see:

• Pursuing a PhD in Chemistry, Materials Science, Computer Science, or a related field.

• Familiarity with AI/ML concepts and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow).

• Basic understanding of chemistry or materials science principles.

Ways to stand out from the crowd:

• Experience with GPU programming or CUDA and machine learning frameworks such as PyTorch.

• Contributions to open-source projects related to AI or scientific computing.

• Coursework or projects involving AI for scientific applications.

You will also be eligible for Intern