NVIDIA

Experience with secure coding practices and tooling, including static analysis tools such as Coverity and IKOS Checkmarx and dynamic analysis tools such as AFL, Peach, Bullseye, and LDRA.. You are an asset if you are familiar with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.). NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization.. In this role, you will work closely with the broader NVIDIA team to design and build Linux-based management agents, Kubernetes integrations, and end-to-end integration solutions that combine GPUs with the rest of the datacenter software management ecosystem.. We are focused on supporting NVIDIA products across HPC, cloud, and enterprise on both bare metal and virtualized platforms as the role of GPUs in all of these environments expands.

security engineer

NVIDIA is searching for a highly motivated, creative engineer with experience in system software and a background in security to join the Server Platform Software team. You will focus on offensive security efforts for our Data Center Systems, such as NVIDIA HGX, DGX, and MGX. What You’ll Be Doing <ul><li>Identify vulnerabilities in our Data Center Systems using both static and dynamic analysis</li><li>Fix bugs in close cooperation with our development teams.</li><li>Ensure the quality and robustness of our pre-release products</li><li>Evangelize tools, practices, and plans to increase product reliability and security </li></ul>What We Need To See <ul><li>BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience)</li><li>6+ years in a security engineering or vulnerability researcher role.4+ years of relevant software engineering experience</li><li>Exceptional C and assembly programming skills</li><li>Experience with software development lifecycle best practices, such as threat modeling, unit testing, regression testing, and code auditing.</li><li>Experience with secure coding practices and tooling, including static analysis tools such as Coverity and IKOS Checkmarx and dynamic analysis tools such as AFL, Peach, Bullseye, and LDRA.</li><li>Knowledgeable in modern server architecture, hypervisor security research, and firmware analysis</li><li>Effective written and verbal communication, regardless of audience or issue complexity</li><li>Ability to work collaboratively and remotely with others to accomplish complex goals </li></ul>Ways To Stand Out From The Crowd <ul><li>Experience in reverse engineering and exploitation. Experience with penetration techniques and tools. Experience and familiarity with GPU-accelerated computing systems</li><li>Experience decomposing and completing complex technical tasks. Published CVEs, security analysis, or related work samples</li><li>You are an asset if you are familiar with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.) </li></ul>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. NVIDIA is looking for outstanding software engineers to help us expand our enterprise GPU management and monitoring tools. In this role, you will work closely with the broader NVIDIA team to design and build Linux-based management agents, Kubernetes integrations, and end-to-end integration solutions that combine GPUs with the rest of the datacenter software management ecosystem. We are focused on supporting NVIDIA products across HPC, cloud, and enterprise on both bare metal and virtualized platforms as the role of GPUs in all of these environments expands. Your contributions will span many aspects of GPU system integration, including telemetry and metrics, health checks, diagnostics, configuration, and system management. These tools fill roles of both passive background monitoring and active online management with a core emphasis on operational transparency and seamless integration in customer environments. Your code will support single-node developer systems through large clusters with thousands of nodes. To succeed, you must have a strong Linux background, familiarity with modern distributed systems, and a proven work ethic. You will be expected to jump in quickly and provide valuable contributions from day one. This is a dynamic work environment with many exciting opportunities awaiting. NVIDIA GPUs are central to many hot enterprise, cloud, and datacenter trends. Come join us as we craft the future of accelerated computing and AI. The base salary range is 180,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse 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.

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