Find NVIDIA Staff Software Engineer software engineering jobs

World leader in accelerated computing, pioneering AI and digital twins technology to transform industries.

NVIDIA, the pioneering force behind the GPU and a leader in AI computing, is seeking a Senior Firmware Architect for their Server Manageability team. This role combines hardware expertise with software development, focusing on managing GPU-based AI servers and enterprise systems. The position offers an opportunity to work at the forefront of technological advancement, contributing to NVIDIA's mission of revolutionizing parallel computing and deep learning.

The role demands a unique blend of firmware development expertise and system architecture knowledge, requiring deep understanding of hardware-software interactions in enterprise server environments. You'll be working with cutting-edge technology, leading design initiatives for server manageability and security, while collaborating with global teams and partners.

The ideal candidate will bring 8+ years of experience in firmware development, with strong expertise in X86 or ARM platforms, and a graduate degree in Electrical Engineering or Computer Science. This position offers competitive compensation ranging from $184,000 to $356,500, plus equity, reflecting NVIDIA's commitment to attracting top talent.

Working at NVIDIA means joining a company that's driving innovation in AI, deep learning, and parallel computing. You'll be part of a team that's shaping the future of computing, with opportunities to contribute to open standards and work with industry-leading technologies. The role offers a hybrid work environment, combining the flexibility of remote work with collaboration opportunities at NVIDIA's Santa Clara location.

Senior Firmware Architect position at NVIDIA, focusing on server manageability and GPU-based AI servers, offering competitive salary and opportunity to work with cutting-edge technology.

Senior Firmware Architect - Server Manageability

NVIDIA is the world leader in accelerated computing, pioneering AI and digital twins technology to transform industries.

NVIDIA, a global leader in accelerated computing, is seeking a Staff Integration Engineer to spearhead the development of Enterprise Integration and API platforms. This role is crucial in building a developer-focused Unified Integration framework that enables self-service capabilities with a focus on AI application development. The position offers an opportunity to work on cutting-edge technologies in AI, autonomous vehicles, healthcare, and visual computing.

The role demands expertise in enterprise integration architecture, requiring 12+ years of experience in building scalable integration solutions. You'll be responsible for developing comprehensive integration frameworks, managing API ecosystems, and implementing sophisticated business processes across operations, finance, and supply chain domains.

Working at NVIDIA means joining one of technology's most desirable employers, known for innovation and forward-thinking approaches. The position offers a unique blend of technical leadership and hands-on development, requiring deep knowledge of integration patterns, security protocols, and modern development practices. You'll be working with multiple cloud platforms, SaaS solutions, and EDIs, particularly in the Hi-Tech/Semiconductor industry.

The ideal candidate will possess strong technical abilities in Java, integration frameworks like SAP CPIS or MuleSoft, and experience with CI/CD tools. This hybrid role in Pune, India, presents an excellent opportunity for those passionate about building enterprise-scale integration solutions that power NVIDIA's next-generation AI and computing initiatives.

Staff Integration Engineer position at NVIDIA, leading enterprise integration and API platform development for AI applications and autonomous vehicle systems.

Staff Integration Engineer

NVIDIA is the world leader in accelerated computing, pioneering GPU technology and AI solutions.

NVIDIA, the pioneer in GPU technology and accelerated computing, is seeking a Senior Software Architect to join their GPU Communications Libraries and Networking team. This role focuses on building crucial communication libraries like NCCL, NVSHMEM, and UCX that are essential for scaling Deep Learning and HPC applications.

The position offers an opportunity to work at the cutting edge of technology, designing and implementing next-generation data center platforms and scalable communications software. The role involves working with systems that operate at massive scales, handling workloads across tens of thousands of GPUs connected through high-speed interconnects like NVLink and InfiniBand.

As a Senior Software Architect, you'll be responsible for advancing the state-of-the-art in GPU communications, identifying and solving performance bottlenecks, and contributing to co-design efforts involving GPU, Networking, and Software architects. The role requires deep technical expertise in parallel programming, system architecture, and high-performance computing.

The position offers a competitive compensation package with a base salary range of $184,000 - $356,500 USD, plus equity and comprehensive benefits. This is an excellent opportunity for experienced professionals who want to make a significant impact on the future of AI and HPC computing infrastructure.

Working at NVIDIA means joining a company at the forefront of artificial intelligence, high-performance computing, and visualization technology. The company culture emphasizes innovation, technical excellence, and collaborative problem-solving in a multi-national environment.

Senior Software Architect role at NVIDIA focusing on Deep Learning and HPC Communications, building crucial communication libraries for scaling AI and HPC applications.

Senior Software Architect - Deep Learning and HPC Communications

NVIDIA is the world leader in accelerated computing, pioneering AI and digital twins technology.

NVIDIA, the pioneer in accelerated computing and inventor of the GPU, is seeking a Senior Software Architect for their GPU Fabric Networking team. This role sits at the intersection of high-performance computing, AI, and system architecture, focusing on next-generation communications standards and products building on NVLink and NVSwitch technology.

The position offers an opportunity to shape the future of GPU interconnect technology at a company that's leading groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. You'll be responsible for defining and driving the architecture of next-generation fabric software, with emphasis on performance, security, and resiliency in large-scale GPU systems.

The ideal candidate brings 10+ years of system architecture experience, deep expertise in software/hardware interfaces, and strong programming skills in C/C++. You'll work with cutting-edge technology, collaborating with world-class teams across research, hardware, firmware, and software domains. The role offers competitive compensation between $184,000 - $356,500 USD, plus equity and benefits.

This is an exceptional opportunity for an experienced architect who wants to make a significant impact on the future of AI and high-performance computing infrastructure. You'll be working at NVIDIA's Santa Clara headquarters or remotely, contributing to technology that powers everything from artificial intelligence to autonomous vehicles. The position offers both technical leadership and mentorship opportunities, making it ideal for someone who wants to grow their career while working on groundbreaking technology.

Senior Software Architect position at NVIDIA focusing on GPU Fabric Networking, offering $184K-$356.5K salary plus equity, requiring 10+ years of system architecture experience.

Senior Software Architect - GPU Fabric Networking

NVIDIA is the world leader in accelerated computing, pioneering GPU technology and revolutionizing parallel computing and AI.

NVIDIA, the pioneering force behind GPU technology and AI computing, is seeking a Senior Architect for GPU and SoC Modelling to join their Architecture Modelling group. This role sits at the intersection of graphics, parallel computing, and high-performance computing, where you'll work alongside world-class architects to advance GPU architecture and maintain NVIDIA's market leadership.

The position involves sophisticated modeling and analysis of graphics and SOC algorithms, working across different modeling teams to develop and validate architectural features. You'll be responsible for implementing features in both functional and performance models, developing comprehensive test plans, and ensuring code quality through coverage analysis.

This is an opportunity to shape the future of GPU architecture at a company that revolutionized PC gaming, modern computer graphics, and parallel computing. Since inventing the GPU in 1999, NVIDIA has evolved to become "the AI computing company," powering breakthrough innovations in AI, robotics, and self-driving vehicles.

The role offers competitive compensation ($184,000 - $356,500 base salary) plus equity and benefits. You'll be working in Santa Clara, CA, in an environment that values innovation, technical excellence, and collaborative problem-solving. NVIDIA is known for being one of the technology world's most desirable employers, offering the chance to work on cutting-edge projects that define the future of computing.

The ideal candidate will bring strong programming skills in C++ and C, experience with build systems and toolchains, and a solid background in computer architecture. This role provides an excellent opportunity to work on next-generation GPU architectures while mentoring others and driving technological innovation.

Senior Architect position at NVIDIA focusing on GPU and SoC modeling, requiring expertise in computer architecture and strong programming skills in C++ and Python.

Senior Architect, GPU and SoC Modelling

NVIDIA, a pioneer in computer graphics and accelerated computing for over 25 years, is seeking a Senior Networking Security Research Architect to shape the future of data center network security. This role represents a unique opportunity to work at the intersection of networking, security, and cutting-edge technology at a company that's leading the AI revolution.

The position involves leading research and implementation of next-generation security features for data centers' networks, working with diverse teams across NVIDIA and external partners. You'll be responsible for architectural modeling, validation, and developing proof-of-concepts for secure platforms, while researching network telemetry to ensure platform security.

As an NVIDIAN, you'll join a company that's transforming industries through AI and GPU technology, working on projects that define the future of computing. The role requires deep expertise in network security, with opportunities to publish research in top security conferences. You'll work with state-of-the-art technology in areas including RDMA networking, machine learning, and hardware-software systems codesign.

The ideal candidate combines strong technical skills in network protocols and security with excellent communication abilities and a collaborative mindset. This position offers the chance to make a lasting impact on world-class technology while working alongside some of the industry's best talents in an encouraging, diverse environment.

Lead network security research architect position at NVIDIA, focusing on developing next-generation security features for data center networks, requiring 5+ years of experience and advanced degree.

Senior Networking Security Research Architect

NVIDIA is the world leader in accelerated computing, pioneering solutions in AI and digital twins.

NVIDIA, the world leader in accelerated computing, is seeking a Senior GPU Architect to join their prestigious GPU Architecture group. This role represents a unique opportunity to work at the cutting edge of graphics and parallel computing technology. The position involves developing innovative GPU architectures that advance the state of the art in graphics features, performance, and parallel computing capabilities.

As a Senior GPU Architect, you'll collaborate with world-class architects and researchers to design and validate new features that maintain NVIDIA's leadership in the industry. The role combines deep technical expertise in computer architecture with hands-on development of simulators and infrastructure. You'll be responsible for pushing the boundaries of parallel processing algorithms and programming models while working with cutting-edge technology.

The position offers an exceptional opportunity to impact the future of computing technology at a company widely recognized as one of the technology world's most desirable employers. You'll be working in a creative, autonomous environment that encourages innovation and technical excellence. The role comes with a competitive salary range of $184,000 - $356,500 USD, plus equity and comprehensive benefits.

This is an ideal position for someone with strong technical skills in computer architecture, graphics algorithms, and parallel processing, combined with extensive programming experience in languages like C++, Python, and Perl. The role requires both strategic thinking in architectural design and hands-on capability in development and validation. If you're passionate about advancing the state of GPU technology and want to work with some of the industry's brightest minds, this role offers an exceptional opportunity to make a significant impact in the field of accelerated computing.

Senior GPU Architect position at NVIDIA focusing on developing innovative GPU architectures and parallel processing solutions, requiring 8+ years of experience in GPU/CPU architecture.

Senior GPU Architect

NVIDIA is seeking a senior or principal engineer to join their Generalist Embodied Agent Research (GEAR) group, focusing on Project GR00T - their ambitious initiative for developing foundation models and technology for humanoid robots. This role combines cutting-edge AI infrastructure development with robotics research, working alongside a team that has produced influential works like Eureka, VIMA, Voyager, and MineDojo.

The position requires deep expertise in distributed systems and machine learning infrastructure, with responsibilities spanning from designing large-scale training systems to optimizing GPU cluster performance. The ideal candidate will have extensive experience (10+ years) in MLOps and AI infrastructure, with strong programming skills in Python and C++, and deep knowledge of GPU acceleration and cluster management.

NVIDIA, recognized as one of technology's most desirable employers, offers a competitive compensation package including a base salary range of $224,000 - $356,500 USD, plus equity and comprehensive benefits. The role is based in Santa Clara, CA, placing you at the heart of NVIDIA's innovation center.

This is a unique opportunity to contribute to groundbreaking research in robotics and AI, working with state-of-the-art technology and infrastructure. The position combines technical leadership with hands-on development, requiring both deep technical expertise and the ability to collaborate with researchers to implement cutting-edge architectures.

Join NVIDIA's mission to advance general-purpose robots and large-scale foundation models, working with some of the most forward-thinking professionals in the industry. The company's commitment to diversity and inclusion, coupled with their position at the forefront of AI and accelerated computing, makes this an exceptional opportunity for experienced engineers looking to make a significant impact in the field of AI and robotics.

Senior Research Engineer role at NVIDIA focusing on building infrastructure for large-scale foundation model training in robotics, offering competitive compensation and the opportunity to work on cutting-edge AI technology.

Senior Research Engineer, Foundation Model Training Infrastructure

NVIDIA is the world leader in accelerated computing, pioneering solutions in AI and digital twins that transform industries.

NVIDIA is seeking an exceptional Advanced Software Developer to pioneer innovative solutions in networking and distributed computing for data center environments. This role sits at the intersection of High-Performance Computing, Cloud, Storage, and Software-Defined Networking, offering a unique opportunity to shape the future of data center technology.

The position is part of NVIDIA's networking advanced development group, which is dedicated to researching and incubating cutting-edge technologies that will revolutionize data center and supercomputer performance. As an Advanced Developer, you'll be working on proof-of-concept implementations, developing sophisticated software stacks and APIs, and optimizing network control and data planes.

The role combines deep technical expertise with significant influence, as you'll be representing NVIDIA in open-source projects, conferences, and standard bodies. You'll be working on everything from application behavioral analysis and algorithms to implementing OS subsystems and device drivers. The position requires a blend of independent work and collaboration, including customer engagements and academic research partnerships.

NVIDIA, recognized as one of technology's most desirable employers, offers a competitive base salary range of $148,000 - $287,500, along with equity and comprehensive benefits. The company's commitment to innovation in AI and accelerated computing makes this an exciting opportunity for someone who wants to be at the forefront of technological advancement.

The ideal candidate will have 5+ years of relevant experience, advanced education in Computer Science or Electrical Engineering, and a proven track record in Hardware/Software/Firmware integrations. Experience with Ethernet/IP technologies, innovative network projects like SONiC/SAI and P4, and a demonstrated ability to prototype and implement new technologies will set you apart.

This role offers the chance to have real impact in a research-focused team at a dynamic company that's transforming the world's largest industries through AI and digital twins. If you're passionate about advanced technology and want to work on groundbreaking solutions that will define the future of computing, this position at NVIDIA represents an exceptional opportunity.

Advanced Software Developer role at NVIDIA focusing on networking and distributed computing research for data center environments.

Software Advanced Developer

NVIDIA, the world leader in accelerated computing, is seeking a Staff Systems Software Engineer to join their server technology team. This role presents an exciting opportunity to work at the forefront of AI and digital twins technology, developing innovative solutions for high-performance servers.

The position involves leading the development of critical security and resiliency features in firmware and driver software stacks, requiring deep expertise in embedded systems and server architecture. You'll be working with cross-functional teams across different geographical locations, debugging sophisticated system-level issues, and driving technical excellence through mentorship and leadership.

As a Staff Engineer, you'll play a crucial role in shaping the technical direction of the team, ensuring alignment with NVIDIA's broader mission of transforming industries through accelerated computing. The ideal candidate brings 12+ years of embedded systems experience, outstanding C/C++ programming skills, and a proven track record of delivering high-quality software solutions.

This role offers the opportunity to work with cutting-edge technology at one of the world's most desirable employers. You'll be part of a team that values innovation, quality, and collaboration, working on products that are pushing the boundaries of what's possible in AI and computing. NVIDIA's commitment to diversity and inclusion creates an environment where different perspectives are valued and contribute to the company's continued success.

The position is based in Taiwan (Taipei or Hsinchu), offering the chance to work with global teams while contributing to NVIDIA's mission of solving challenges no one else can. If you're passionate about system software, security, and building reliable, high-performance computing solutions, this role provides an excellent opportunity to make a significant impact in a leading technology company.

Staff Systems Software Engineer position at NVIDIA focusing on server firmware and driver development with emphasis on security and resiliency features.

Staff Systems Software Engineer- Server

NVIDIA, the world leader in accelerated computing, is building innovative data centers at the forefront of the AI industry. As a Senior Network Algorithms Architect, you'll be instrumental in developing cutting-edge networking solutions that power AI infrastructure. The role combines deep technical expertise in network algorithms with hands-on architecture design for NICs and DPUs. You'll work on critical components like congestion control, routing, and packet loss recovery, while collaborating directly with customers to ensure optimal integration. NVIDIA offers the opportunity to work with some of the most talented individuals in technology, in an environment that values creativity and autonomy. The position requires strong algorithmic skills, networking expertise, and the ability to drive innovation in a fast-paced setting. With NVIDIA's leading position in AI and accelerated computing, this role offers unique opportunities to shape the future of data center networking. The company's commitment to diversity and inclusion creates a welcoming environment for all professionals to contribute to groundbreaking technological advancements.

Senior Network Algorithms Architect position at NVIDIA focusing on developing advanced networking solutions for AI infrastructure, requiring 8+ years of experience and strong algorithmic expertise.

Senior Network Algorithms Architect

NVIDIA is the world leader in accelerated computing, pioneering solutions for AI and digital twins that transform industries.

NVIDIA, the world leader in accelerated computing, is seeking an exceptional Senior Deep Learning Performance Architect to join their team. This role sits at the intersection of deep learning and computer architecture, focusing on developing cutting-edge processor and system architectures that push the boundaries of machine learning acceleration.

The position offers a unique opportunity to shape the future of AI computing at a company that has transformed from a graphics pioneer to "the AI computing company." You'll be working on NVIDIA's GPU architecture, which has evolved from rendering virtual worlds to becoming the backbone of AI and deep learning applications worldwide.

As a Senior Deep Learning Performance Architect, you'll be responsible for crafting high-performance, energy-efficient system architectures that advance the state of the art in deep learning. Your work will involve prototyping key algorithms, analyzing complex performance trade-offs, and collaborating with various teams across NVIDIA to guide the direction of machine learning initiatives.

The role requires a blend of technical expertise in computer architecture, deep learning fundamentals, and programming proficiency. You'll need at least 4 years of relevant experience and advanced education in Computer Science or related fields. Your experience with GPU computing, parallel programming, and performance analysis will be crucial in developing next-generation AI computing platforms.

NVIDIA offers a competitive compensation package with a base salary range of $148,000 to $287,500, plus equity and comprehensive benefits. The company is known for its forward-thinking culture and is consistently ranked as one of the technology world's most desirable employers. This is an opportunity to join a team that's driving innovation in AI computing and making a meaningful impact across industries.

Senior Deep Learning Performance Architect role at NVIDIA focusing on developing advanced processor architectures for AI acceleration, offering competitive compensation and the chance to shape the future of machine learning.

Senior Deep Learning Performance Architect

NVIDIA, a pioneer in computer graphics and accelerated computing for over 25 years, is seeking a Network Security Research Architect to define, research, and implement next-generation security features for data centers' networks. This role combines cutting-edge security research with practical implementation in a company that's leading the AI revolution. The position offers a unique opportunity to work with diverse teams across NVIDIA and external partners, focusing on innovative security solutions for networking products.

The ideal candidate will lead security architecture initiatives, working at the intersection of hardware and software to develop secure networking platforms. This role requires deep expertise in network security, threat modeling, and programming, with opportunities to influence the future of secure data center architectures. The position involves both theoretical research and hands-on implementation, making it perfect for someone who enjoys bridging the gap between academic research and practical applications.

NVIDIA offers a collaborative environment where innovation is encouraged, and impact is tangible. The company's work in AI and digital twins is transforming major industries, making this an exciting opportunity to contribute to groundbreaking technological advances. The role combines the challenge of security research with the resources and reach of a global technology leader, offering a chance to make lasting contributions to the field of network security.

Working at NVIDIA means joining a diverse, encouraging environment where everyone is motivated to do their best work. The company's commitment to innovation, combined with its significant impact on various industries, makes this an exceptional opportunity for a security professional looking to work on cutting-edge technology while making a meaningful impact on the world.

Lead network security research architect position at NVIDIA, focusing on developing next-generation security features for data centers' networks, requiring 5+ years of experience and advanced degree.

Network Security Research Architect

NVIDIA, a global leader in accelerated computing and AI technology, is seeking a Senior GPU Low Power Architect to join their Hardware Team. This role sits at the intersection of cutting-edge GPU technology and energy efficiency, focusing on developing hyper-efficient GPU and SOC architectures for AI, Automotive, Graphics, and Mobile products. The position offers the opportunity to work with world-class engineers on emerging GPU and AI technologies.

The role involves architecting and innovating low power solutions for NVIDIA's Desktop, Notebook, and server platforms. You'll be responsible for developing energy-efficient features, conducting architectural studies, and creating accurate power and performance models. Working cross-functionally with System/SW Architects and Product engineers, you'll drive critical decisions that impact product performance and energy efficiency.

NVIDIA's commitment to groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization makes this an exciting opportunity for someone passionate about pushing the boundaries of technology. The position offers competitive compensation, including a base salary range of $136,000 - $264,500 USD, plus equity and benefits.

The ideal candidate will bring strong technical expertise in low power architectures, experience with industry tools like SystemVerilog RTL and Python, and a deep understanding of hardware/software interactions. This role represents a unique opportunity to impact the future of GPU technology while working at one of the technology world's most desirable employers.

Senior GPU Low Power Architect role at NVIDIA focusing on developing energy-efficient GPU architectures for AI, automotive, and graphics applications.

NVIDIA Staff Software Engineer Software Engineering Jobs

Find NVIDIA Staff Software Engineer software engineering jobs