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Required Senior Software Engineer, Data Center Workloads - Infrastructure
We are pioneers in innovation, transforming computer graphics, PC gaming, and accelerated computing for over 25 years. Our team is driven by powerful technology and outstanding people who expand the limits of whats achievable. Now, we are unlocking the potential of AI to usher in the next era of computing.
As part of our engineering organization, you will play a key hands-on role in developing and executing software-driven characterization workflows on our rack-scale systems. This role is focused on running AI workloads across the full stack to analyze, characterize, and optimize power, performance, and drive behavior at system level. This is an opportunity to work at the intersection of software, infrastructure, silicon, and large-scale AI platforms, with direct impact on next-generation systems.
What youll be doing:
Develop and run software tools, automation, and workloads to characterize power, performance, and drive behavior across our rack-scale systems.
Execute AI and system-level workloads to stress and evaluate behavior across the stack, including GPUs, CPUs, networking, storage, firmware, drivers, and system software.
Build automated frameworks for data collection, telemetry, validation, correlation, and analysis of characterization results.
Investigate system behavior under different workloads and operating conditions to identify bottlenecks, anomalies, and optimization opportunities.
Work closely with hardware, firmware, driver, system software, performance, and validation teams to define characterization methodologies and debug cross-stack issues.
Support bring-up, validation, and readiness activities for new rack-scale platforms and AI infrastructure.
Create clear documentation, test flows, and repeatable processes to improve coverage, efficiency, and reproducibility.

We are looking for a Senior HPC & AI Operation Engineer to join the Networking clusters solutions HPC/AI Infrastructure team. We are building supercomputers and AI clusters based on groundbreaking technologies. We are looking for a system administrator to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing
You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. Does this sound like you? If so, we would love to hear from you!
What you will be doing:
Deploy, manage and maintain large scale HPC/AI clusters
Managing Linux job/workload schedules and orchestration tools
Support and maintain continuous integration and delivery pipelines
Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level
Supporting Research & Development activities and engaging in POCs/POVs for future improvements.

We are seeking a highly motivated and experienced Senior Tools/Regression Engineer to join our Qualification Hardware Group. We are looking for a dynamic individual who excels in complex software and hardware environments, brings innovation to the table, and is passionate about driving product excellence. In this role, you will collaborate closely with cross-functional teams, including hardware (HW), firmware (FW), and software (SW), to deliver high-impact solutions. You will be expected to take initiative, support team-wide goals, and develop tools, automation, and regression frameworks with a forward-thinking mindset.
What Youll Be Doing:
Take ownership of hardware setups and develop tools and applications to verify hardware projects, ensuring maximum coverage and automation of auxiliary systems.
Collaborate with multiple teams across software and hardware to define, plan, and deliver end-to-end solutions.
Take ownership of software regression, ensuring the delivery of robust tools and applications.
Contribute to large-scale SW/HW projects in a cross-platform environment.
Participate in the full software lifecycle - from architecture and design to bring-up and production.

Required Software Advanced Development Engineer
The Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading our devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.
What youll be doing:
Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware
Work on impactful projects involving state-of-the-art high-performance computing hardware and software
Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology
Collaborate with NVIDIA partners and customers

We are looking for an excellent highly motivated Senior SW Verification Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with a strong quality-oriented mindset, the ability to thrive in an environment with complex software and hardware designs, and a passion for deep-dive verification of key DPU components. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.
What youll be doing:
Design and implement comprehensive verification plans and automated environments, using Python, to validate high-end hardware and software which is at the forefront of innovation
Lead end-to-end feature validation, from architectural review to final system integration, ensuring robust HW-SW interoperability
Identify, analyze, and report software defects, inconsistencies, and other quality issues
Make better product quality by improving tests coverage
Take an active part in development, integration and verification with R&D
Drive improvements for performance, quality, stability around SW acceleration solutions
Stay up to date with industry best practices, new technologies, and emerging trends in software verification.

Required Senior Software Engineer - Networking
We are building state-of-the-art accelerated computing platforms that know no boundaries. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters. We are looking for a highly motivated and experienced SW networking senior software engineer to join our SAI development team.
This is an outstanding opportunity to join our high performance multi-site team and to work on some of the most pioneering technologies, implement and lead cutting-edge networking features for cloud, HPC and AI networks. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.
What youll be doing:
Develop first tier features, with groundbreaking multi-protocol networking technology.
Lead features from planning through design and development, until delivery to the customer.
Work closely with other development teams, arch and verification to ensure features delivery on time with high quality.
Gain deep understanding of our products and technologies.

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works.
We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play.
What you'll be doing:
Developing a highly optimized inference framework
Running on the worlds largest supercomputers and data centers.
The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features.

We are looking for a Senior Software Engineer to join the SDK Verification team. The SDK enables developers to rapidly create applications and services on top of our data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of our DPUs.
What you'll be doing:
Support DevOps initiatives by developing and maintaining CI/CD pipelines to automate build and deployment processes, and by improving monitoring and observability across services
Contribute to maintaining both physical and cloud-based infrastructure, including troubleshooting and resolving hardware and system-level issues
Debug and analyze complex system-level issues to identify root causes and drive timely resolution
Contribute to the development of verification infrastructure, tackling complex technical challenges to enhance coverage, scalability, and robustness of DOCA services
Engage in the full software development lifecycle of verification components, from design and architecture through implementation and validation
Develop automation to simulate real-world environments and design tests to validate the functionality and performance of the DOCA platform.

We are hiring exceptional software engineers to build and optimize the core inference infrastructure for large language models. Join the TensorRT‑LLM team - the group defining how generative AI performs at global scale on our GPUs. Were looking for engineers who love squeezing every drop of throughput, memory efficiency, and scalability out of modern model runtimes. Your work will directly shape the frameworks behind state‑of‑the‑art LLM inference used across the company and the AI community. Join us to redefine what fast means for LLM inference - building the frameworks that power the next generation of generative AI at scale.
What you'll be doing:
Design, implement, and optimize high‑performance inference pipelines for large language models running on GPUs
Profile and tune model execution across the stack - from scheduler design to kernel fusions and everything in-between
Design and experiment with memory management strategies for improved memory bandwidth optimization and cache efficiency
Innovate and Implement cutting-edge techniques such as Speculative Decoding, Context Caching, and FP8/INT4 quantization to push the boundaries of tokens-per-second-per-watt
Develop and maintain benchmarking and testing systems that quantify latency, utilization, and efficiency.

Our Networking System Product Engineering organization is looking for a Senior Data & AI Solutions Engineer - high-agency, self-directed Data & AI Solutions Engineer to partner with engineering teams and transform data, BI, automation and agentic AI into measurable engineering productivity gains.
What youll be doing
Work closely with engineers, managers, and cross-functional teams to understand complex engineering domains, identify bottlenecks, and build practical solutions that improve decision-making, execution speed, and operational quality.
Develop and deliver production-grade tools, automated workflows, and agentic AI solutions from concept through deployment.
Run fast, high-quality proof-of-concepts on emerging AI and agentic technologies, and productize successful ones.
Implement data flywheels that continuously improve quality through telemetry, benchmarking, automated evaluation, and structured feedback loops.
Collaborate and contribute ideas and code to Product Engineering's evolving data infrastructure.
Improve data quality, integrity, governance, metric definitions, and usability across engineering domains.
Train and enable engineers, managers, and stakeholders to use data, BI, and AI tools effectively.