Santa Clara, California, United States · Hybrid
$184k–$357k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, driven by great technology and amazing people. We’re now tapping into the unlimited potential of AI to define t…
Skills: Kubernetes, Distributed Systems, Systems Performance, Golang, Python
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Front-end Transistor Integration, Electrical Characterization, Mask Design, Process Flow Design, Data Analysis
Santa Clara, California, United States · Hybrid
$168k–$311k/yr
NVIDIA's Silicon Co-design Group (SCG) sits at a rare intersection: we own the full product development lifecycle, from early architecture definition through silicon bringup to product release. Our ArchDev team is the hu…
Skills: Silicon Power Architecture, System-Level Design, Power/Performance Optimization, Digital Design, Low Power Design
Santa Clara, California, United States · Hybrid
$232k–$368k/yr
As one of the technology industry's most desirable employers, NVIDIA has been redefining accelerated computing, computer graphics, and leading the Artificial Intelligence revolution. NVIDIA's innovation is fueled by its …
Skills: Power Management, System Architecture, Power Modeling, Silicon Design, Data Analysis
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: ALD Coating Technology, Materials Engineering, Hardware Characterization, Surface Chemistry, Failure Analysis
Santa Clara, California, United States · On-site
$172k–$237k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: DRAM, 3D NAND, Memory Process Integration, Strategic Planning, Market Analysis
Santa Clara, California, United States · On-site
$172k–$237k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Memory Technology Roadmap, DRAM Integration, 3D NAND Integration, Market Analysis, Strategic Planning
Santa Clara, California, United States · Hybrid
$150k–$190k/yr
Thanks for your interest in Oklo! We are searching for an Integration Engineer to join our team. Position Description Oklo is transforming the future of energy, and we’re looking for a senior Integration Engineer to join…
Skills: Systems Engineering, Hardware Integration, Interface Management, Verification and Validation, Risk Management
Santa Clara, California, United States · On-site
Who is Anatomage? Founded in 2004, Anatomage is a world-leading health care technology company. As a market leader in medical virtualization technology, Anatomage enables an ecosystem of 3D anatomy hardware and software,…
Skills: Business Management, Product Roadmap Development, Strategic Planning, Decision Making, Communication
Santa Clara, California, United States · On-site
$150k–$230k/yr
Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We …
Skills: Python, Test Automation, Optical Networking, Linux, CMIS
Santa Clara, California, United States · On-site
$150k–$230k/yr
Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We …
Skills: Python, Test Automation, Optical Networking, Linux, CMIS
Santa Clara, California, United States · On-site
Job Summary: Operates magnetic resonance imaging equipment to produce cross-sectional images (photographs) of patients body for diagnostic purposes. Under the direction of the Chief of Radiology and the Imaging Services …
Skills: MRI Operation, Patient Care, Venipuncture, Patient Safety, Clinical Training
Santa Clara, California, United States · On-site
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in …
Skills: Application Engineering, System Debugging, Electrical Validation, Signal Integrity, Server Architecture
Santa Clara, California, United States · On-site
$90k–$180k/yr
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnost…
Skills: Regulatory Strategy, Premarket Submissions, Postmarket Compliance, Risk-Benefit Analysis, Labeling Review
Santa Clara, California, United States · On-site
$134k–$184k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Project Planning, Project Scheduling, Resource Coordination, Budget Management, Purchase Requisition Management
Santa Clara, California, United States · On-site
$161k–$221k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: High-speed Photonic Interconnects, CAD Modeling, Advanced Simulation, Semiconductor Manufacturing, Cleanroom Operations
Santa Clara, California, United States · Hybrid
$136k–$265k/yr
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More rec…
Skills: DFT Architecture, Scan Compression, Memory BIST, IO BIST, ATPG
Santa Clara, California, United States · On-site
$152k–$288k/yr
We are now looking for a Senior Infrastructure Software Engineer for Deep Learning Libraries! NVIDIA's Deep Learning Libraries Group is seeking excellent software engineers to enable the next wave of NVIDIA’s highest per…
Skills: Python, C/C++, Kubernetes, Jenkins, Docker
Santa Clara, California, United States · On-site
$152k–$288k/yr
NVIDIA's Isaac‑NuRec team is building neural reconstruction and Real2Sim systems that turn real‑world sensor data into high‑fidelity, simulation‑ready environments and objects for robotics simulation, learning, and deplo…
Skills: Neural 3D Reconstruction, Real2Sim Pipelines, Python, C++, ROS 2
Santa Clara, California, United States · On-site
$136k–$259k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: PCB Design, Python, C, C++, 3D Modeling
Santa Clara, California, United States • Hybrid
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Lead performance and scalability analysis across the Kubernetes-based accelerated runtime stack to optimize AI infrastructure. Design architectural changes for the Kubernetes control plane and contribute to open-source projects to enable hyperscale AI workloads.
Requires a degree in Engineering or Computer Science with 8+ years of experience in computer architecture and distributed accelerator systems. Expertise in Kubernetes, Golang/Python, and major public cloud providers is essential.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, driven by great technology and amazing people. We’re now tapping into the unlimited potential of AI to define the next era of computing, where our GPUs power computers, robots, and self‑driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll work in a diverse, supportive environment where people are encouraged to do their best work and grow their careers. We offer a preference for hybrid work while remaining open to remote arrangements, giving you flexibility in how you do your best work.
Come join the team and see how you can make a lasting impact on the world. The DGX Cloud organization at NVIDIA brings together cutting‑edge hardware and software innovation to deliver industry‑leading accelerated computing for the world’s most ambitious AI workloads. We are a group of forward‑thinking engineers tackling some of the globe’s toughest challenges, pushing progress, and positively affecting millions of lives. We’re searching for a Senior Systems Software Engineer with deep expertise in distributed systems, Kubernetes, containers, and systems performance and scalability. The ideal candidate brings broad, hands‑on experience across the stack, including GPU operators, device plugins, distributed inference serving, and major cloud platforms. You’ll own hard technical problems at large scale and help shape how AI infrastructure runs in production. In this key role, you will focus on scaling AI infrastructure while minimizing total cost of ownership, reducing cost per token and enabling future AI innovation and AI factories. Are you ready to be impactful?
Lead end‑to‑end performance and scalability analysis across the Kubernetes‑based accelerated runtime stack (control and data planes), including NVIDIA components such as GPU Operator, Network Operator, node-feature-discovery, topograph, dra-driver-nvidia-gpu, and nvsentinel, tracking issues from orchestration down to the metal.
Design and contribute upstream architectural changes to the Kubernetes control plane and related projects to enable reliable operation at hyperscale cluster sizes, doing in the open what today’s hyperscalers typically do privately.
Improve container startup and cold‑start latency to enable smooth, low‑latency inference scaling on Kubernetes across thousands of GPU nodes, ensuring the AI runtime stack scales without creating API server pressure or operational fragility.
Assess, improve, and contribute to open‑source projects that make Kubernetes an outstanding platform for AI workloads (for example, Grove and gateway-api‑inference‑extension), composing their architectures with scalability, resilience, and multi‑node training/inference in mind.
Advance scalability and performance of confidential containers (CoCo) on Kubernetes so encrypted inference workloads meet stringent efficiency and latency requirements in production.
Use DSX and related large‑scale simulation infrastructure to model full AI‑factory deployments and validate scalability across thousands of simulated GPUs, catching failures that emerge only at scale before hardware arrives.
Collaborate with AI researchers, developers, customers, and upstream communities to design automated, at‑scale workload tests (including replay of production agent traces), build monitoring/analysis tooling, and integrate continuous performance and scale testing into modern CI/CD workflows.
Document methods and results clearly and present findings internally and at industry events (for example, KubeCon, GTC), while actively engaging with upstream groups (Kubernetes SIG Scalability, CNCF, and NVIDIA OSS communities) to influence and validate AI workload performance and scalability directions.
Bachelor’s or Master’s degree in Engineering or equivalent experience, ideally in Electrical, Computer Engineering, or Computer Science
8+ years of experience in computer architecture, networking, storage systems, and accelerator‑based platforms
Expertise in Kubernetes and familiarity with the broader CNCF ecosystem
Deep experience with large‑scale, parallel, distributed accelerator systems and performance optimization of AI workloads
Experience with performance modeling and benchmarking for large‑scale systems
Proficiency in Golang and/or Python
Strong familiarity with the NVIDIA software stack across training and inference
Expertise with at least one major public cloud provider (for example, AWS, Azure, GCP, or OCI)
Strong operational experience with any one of the Kubernetes distributions
Prior experience scaling Kubernetes clusters to ultra-large node and object counts
Demonstrated history of working in the open-source community
Excellent communication and interpersonal abilities
PhD or equivalent experience in relevant areas
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
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.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
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