NVIDIA

NVIDIA

Posted via Workday

Distinguished Engineer, System Software Integration

Posted Aug 12, 2026

Role at a glance

Salary
$320K – $488.8K/yr
Location
Remote - US - California
Work arrangement
Remote
Employment
Full-time
Education
BS/MS or higher or equivalent experience in systems / software engineering, or related engineering fields

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Role Summary

AI-generated

This technology leadership role defines the DGX Cloud strategy for full-stack integration across accelerated hardware and software. The role architects control- and data-plane systems for bare-metal and virtualized computing across enterprise, sovereign, neocloud, and high-security datacenter environments, and guides the product roadmap and technical strategy.

What You'll Do

  • Define and drive the technical implementation of DGX Cloud full-stack integration systems across hardware, firmware, and system software...
  • Drive integration of shared memory, storage, and networking capabilities through IaaS and PaaS layers.
  • Guide technical delivery across neocloud, enterprise, sovereign, and high-security private datacenters.
  • Collaborate with customers, infrastructure providers, and partners on performance and availability.
  • Lead software and system lifecycle activities from ideation and architecture through development, deployment, operations, and continuous...

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

15-20+ years in technical roles focused on low-level systems integration; 7-10+ years of leadership experience; experience with hardware, firmware, operating systems, virtualization, secure highly available IaaS and PaaS layers, multi-tenant datacenter and cloud-native architectures, and bare-metal and virtualized compute, storage, and networking; BS/MS or higher or equivalent experience in systems/software engineering or related engineering fields.

Required

  • Low-level systems integration across hardware, firmware, operating systems, and virtualization
  • Secure, highly available IaaS and PaaS layers
  • Multi-tenant datacenter and cloud-native architectures
  • Bare-metal and virtualization across compute, storage, and networking
  • Resource utilization, performance, and operational insights
  • Architecture and design across cross-functional teams
  • Collaboration and influence with peers, partners, and customers

Preferred

  • Building systems to support AI/ML workloads
  • Designing, developing, delivering, and operating secure, highly available, scaled-out systems in enterprise and cloud environments
  • Creating scalable processes and extensible systems for cross-functional collaboration and operations at scale
  • Open source infrastructure ecosystems and projects, including Linux, Kubernetes, CAPI, KubeVirt, and Kata
  • Open source project governance

Original job description

Content provided by the employer

NVIDIA is leading the industry in delivering accelerated computing in cloud and enterprise environments. We’re a team of innovative engineers dedicated to solving some of the world’s biggest challenges, constantly driving advancements, and impacting millions of lives worldwide!

As a technology leader at NVIDIA, you will lead the development of DGX Cloud strategy for full stack integration. Specifically, architecting the seamless interface between accelerated hardware and software stacks to deliver bare metal and virtualized accelerated computing hardware to users. You will define and drive the technical strategy across multiple datacenter environments (enterprise, sovereign, neocloud). Including defining and developing the control and data plane systems that enable full stack integration (on-demand, scalable, metered) for accelerated computing hardware. You will work with NVIDIA leadership, cross-organizationally and cross-functionally, to establish the product definition, roadmap, and technical strategy to deliver full stack accelerated computing at scale.


What You’ll Be Doing:

  • Various Architectural Work: Hardware-software boundary engineering, define and drive the technical implementation for DGX Cloud full stack integration systems, focusing on the interface between hardware, firmware, and system software layers.

  • Collaborate on Cross Domain Disciplines: Layered stack integration, drive the technical strategy and integrations for shared memory, storage, and networking systems, extending these capabilities through the IaaS and PaaS layers.

  • Infrastructure Delivery: Guide the technical delivery across varied environments including neocloud, enterprise, sovereign, and high security private datacenters, ensuring robust full stack connectivity.

  • Engage Stakeholders: Collaborate with customers, infrastructure providers, and partners to ensure NVIDIA’s solutions set the industry standard for performance and availability. 

  • Full Software and System Lifecycle: From ideation to architecture, design, development, deployment, operations, and full lifecycle management, lead all technical aspects of planning and continuous evolution of software, integrations, and operations.


What We Need to See:

  • 15-20+ overall years in technical roles with a focus on low-level systems integration, including hardware, firmware, operating systems, and virtualization. Expertise in defining the abstractions and building the systems to deliver secure, highly available IaaS and PaaS layers.

  • 7-10+ years of leadership experience

  • BS/MS or higher or equivalent experience in systems / software engineering, or related engineering fields 

  • Technical proficiency in multi-tenant datacenter and cloud-native architectures, with a deep understanding of full stack connectivity for bare metal and virtualization across compute, storage, and networking.

  • Proven success delivering high-impact technically complex solutions that achieve high levels of transparency into resource utilization, performance, and operational insights.

  • Technical Leadership: Ability to synthesize cross-functional needs into architecture and design while guiding internal execution across diverse teams.

  • Communication and Teamwork: Strong collaboration and influence skills, capable of leading engineering engagement, communicating with peers, partners, and working with high performance and accelerated computing customers.


Ways to Stand Out from the Crowd:

  • Application of Artificial Intelligence: Real world experience building the systems to support AI/ML workloads. 

  • Industry Expertise: Direct experience in designing, developing, delivering and operating secure, highly available, scaled out systems in enterprise and cloud environments.

  • Engineering Enablement: Demonstrated history of creating scalable processes and extensible systems that facilitate cross-functional collaboration and operations at scale.

  • Open Source Collaboration: Familiarity with open source ecosystems and projects in the infrastructure space (Linux, Kubernetes, CAPI, KubeVirt, Kata, …). Ability to collaborate and influence in open source project governance to represent NVIDIA, customers, and partners interests in technical alignment and direction.
     

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you!

With competitive salaries and a generous benefits package (www.nvidiabenefits.com), we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 15, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.