Santa Clara, California, United States · On-site
$320k–$489k/yr
NVIDIA DGX systems are the foundation of the world’s most advanced AI infrastructure—purpose-built servers, workstations, and personal AI computers that bring together GPUs, CPUs, NVLink, NVIDIA Networking, and a fully o…
Skills: Systems Firmware, Software Engineering, Engineering Leadership, SBIOS, BMC
Yokneam Ilit, North District, Israel · On-site
NVIDIA is looking for HW Mechanical Engineer to join the IC Product Engineering HW team and to lead the mechanical design and execution of test boards, CPO Optical products, system level testing mechanical interfaces and…
Skills: Mechanical Engineering, Hardware Design, Schematic Design, Orcad, Thermal Design
Santa Clara, California, United States · On-site
$152k–$288k/yr
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 hea…
Skills: C++, Python, System Debugging, Networking Fundamentals, TCP/IP
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're tapping into the unlimited potential of AI to define the next era of computing — where our GPUs ac…
Skills: C, C++, Embedded systems, System architecture, Linux kernel
Santa Clara, California, United States · On-site
$272k–$431k/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: Software architecture, Networking, AI applied research, Collective communication, Vertical co-development
Santa Clara, California, United States · On-site
$152k–$288k/yr
We are now looking for a Senior Software Engineer, Agentic AI! 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…
Skills: Agentic AI, Python, C++, Rust, Distributed Systems
Yokneam Ilit, North District, Israel · On-site
NVIDIA Networking System Product Engineering group is looking for an excellent Software Engineer. The position requires an understanding of HW and SW to provide stable, efficient, smoothly running production tests, to en…
Skills: Python, Software Development, Linux, Git, Hardware Integration
Shanghai, Shanghai, China · On-site
We are now looking for Senior Software Engineer of AV Infrastructure and MLOps team! NVIDIA is playing a significant role in AI and Autonomous Vehicles industry with its powerful GPU products, high-performance DRIVE plat…
Skills: Python, C++, CUDA, Deep Learning, Autonomous Driving
Yokneam Ilit, North District, Israel · On-site
The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. Th…
Skills: RTL Design, Verilog, SystemVerilog, Clocking Logic, Reset Synchronization
Yokneam Ilit, North District, Israel · On-site
The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. Th…
Skills: RTL Design, Verilog, SystemVerilog, Clocking Logic, Reset Synchronization
Santa Clara, California, United States · On-site
$168k–$322k/yr
NVIDIA is looking for a highly-motivated Technical Program Manager (TPM) to join our Applied Systems Engineering Team to drive datacenter integration for the next generation of NVIDIA AI supercomputing systems. This TPM …
Skills: Datacenter design, Systems integration, High-performance computing, GPU clusters, Technical program management
Santa Clara, California, United States · Remote OK
$152k–$288k/yr
We are in search of a curious and motivated Senior Solutions Architect to join our NVIDIA Infrastructure Specialists team. In this capacity, you'll support the creation, implementation, and verification of AI factories, …
Skills: Linux, HPC, AI/ML, NCCL, Python
Bengaluru, Karnataka, India · Hybrid
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial int…
Skills: Power Analysis, Power Architecture, Low Power Design, Power Aware Verification, UPF Methodologies
Santa Clara, California, United States · On-site
$152k–$288k/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: C, Python, Embedded software development, Linux kernel, Boot firmware
Santa Clara, California, United States · On-site
$196k–$368k/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: ASIC Verification, GPU, UVM, System Verilog, C++
Santa Clara, California, United States · On-site
$272k–$431k/yr
Principal Systems Software Engineer at NVIDIA is an engineering discipline to design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems …
Skills: Systems Engineering, Observability, Telemetry, Kubernetes, OpenStack
Santa Clara, California, United States · On-site
$200k–$322k/yr
We are looking for a highly skilled Senior Software Engineer to design and develop AIOps & Observability platforms at NVIDIA. The platforms are used by internal teams to monitor, diagnose, and optimize the products, mill…
Skills: AIOps, Observability, Cloud-native, Kubernetes, Go
Santa Clara, California, United States · On-site
$320k–$489k/yr
Distinguished Engineer, GPU Memory and Interconnect Simulation Architecture We are looking for a Distinguished Engineer to help define the future of GPU memory, on-chip interconnect, and architectural simulation at NVIDI…
Skills: GPU architecture, Memory systems, Interconnect design, Performance modeling, Architectural simulation
Bengaluru, Karnataka, India · On-site
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: C Programming, GPU Kernel Driver Development, Low-level Driver Experience, ARM Architecture, RISCV Architecture
Tel Aviv, Tel-Aviv District, Israel · On-site
As a chip design Engineer at NVIDIA Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state of the art Switch Silicon chips. In this position, you'll make a…
Skills: Chip Design, Verification, RTL Design, Switch Silicon, Reference Models
Santa Clara, California, United States • On-site
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The engineering leader will oversee the end-to-end delivery of DGX compute systems, ensuring seamless integration from firmware through the AI software stack. They are responsible for platform bring-up, architectural strategy, and maintaining production-quality standards across all hardware and software components.
Candidates must possess a BS or MS in Computer Science, Electrical Engineering, or a related field with at least 12 years of experience in systems firmware/software engineering. A minimum of 5 years in engineering leadership and a proven track record of delivering complex server or data center platforms are required.
NVIDIA DGX systems are the foundation of the world’s most advanced AI infrastructure—purpose-built servers, workstations, and personal AI computers that bring together GPUs, CPUs, NVLink, NVIDIA Networking, and a fully optimized AI software stack.
We are seeking an engineering leader responsible for end-to-end delivery of every DGX compute system—from firmware through the AI stack to customer deployment. You will ensure each DGX product ships as a production-ready system where firmware, OS, drivers, CUDA, networking, and AI applications work together seamlessly, while driving architecture and roadmap for next-generation platforms.
End-to-End Stack Readiness: Ensure every DGX platform is ready for the full NVIDIA software stack—firmware, DGX OS, GPU drivers, CUDA toolkit, DCGM, DOCA/OFED, and management tools—as a validated, production-quality product. Own the GA SW/FW release process delivering firmware bundles, BaseOS ISOs, and release notes to OEM/OSV partners. Ensure platforms support AI agents like NemoClaw, Hermes agents, NIM microservices, and workloads customers expect out of the box.
Platform Firmware Development: Lead development of the manageability firmware stack (BMC, BIOS) for all DGX platforms. Ensure firmware from partner teams (GPU, CPU, networking) integrates correctly at system level. Manage 3rd-party vendors and drive platform requirements (NVPOR) across all firmware areas.
Validation Strategy: Define validation strategy proving each DGX platform is production-ready: end-to-end system validation including firmware regression, NVQual certification, DL workload performance, OS/CUDA stack testing, multi-user scenarios, power/thermal validation, and field upgrade reliability. Establish quality gates and zero ship-stopper discipline.
Platform Bring-Up & Architecture: Drive platform bring-up for each new DGX system—coordinating first boot across new silicon (CPU, GPU), board design, and firmware teams. Own architectural strategy for next-generation platforms including firmware update mechanisms, system security posture, and AI application readiness.
Customer Deployment & Enablement: Ensure firmware release flows meet CSP and enterprise deployment requirements. Represent DGX platform readiness in executive reviews and strategic planning with VP/SVP leadership. Engage with industry standards bodies (DMTF Redfish, OCP).
Product Delivery Lifecycle: Own the complete DGX delivery lifecycle—system architecture, firmware development, integration, full-stack validation, GA release, and customer deployment—for every DGX product.
Cross-Org Alignment: Serve as single point of accountability for DGX platform readiness across NVIDIA—aligning GPU, CPU, networking, security, OS, and AI software teams to deliver on schedule.
Quality & Vendor Management: Own RCCA processes for field issues. Manage external vendor partnerships (AMI for SBIOS, BMC contributors) with clear quality gates and program tracking.
Team Leadership: Build and lead a world-class engineering organization. Mentor and develop leaders. Foster a culture of technical excellence, intellectual honesty, and customer obsession.
BS or MS in Computer Science, Electrical Engineering, or related field or equivalent experience.
12+ overall years in systems firmware/software engineering, with 5+ years in engineering leadership.
Deep expertise in server system stack including SBIOS, BMC, OS, applications and system-level integration of complex multi-component products.
Proven track record delivering multi-generation server or data center platforms from architecture through customer deployment.
Experience managing engineering organizations across multiple geographies in a matrix environment.
Strong understanding of server hardware: CPU, GPU, interconnect, memory, PCIe, power delivery.
Experience owning end-to-end product quality—from firmware validation through full-stack system testing to field deployment.
Experience with NVIDIA DGX, or GPU-accelerated server platforms.Track record driving server bring-up for new silicon and system architecture redesigns.
Familiarity with DMTF Redfish, OCP standards, and server manageability ecosystems.
Experience with AI/DL workload validation and performance optimization at the platform level.Demonstrated ability to operate at VP/SVP level, influencing cross-BU strategic decisions.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. 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! 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.
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.
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
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
