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Senior Software Engineer, Networking – Cybersecurity

US, CA, Santa Clara
Full Time On-site

Summary

Job Description

NVIDIA is looking for outstanding Software Development Engineers to join our outstanding Networking Software engineering team, developing driver, protocols and application to deliver high efficiency and lowest latency with low CPU utilization! Linux/QNX/Android/Windows is your calling then you have reached right place! If Security, Ethernet, WiFi and BT excites you then this is the best team to join. Come and take a significant part in architecting, crafting, developing and verifying innovating solutions. If you enjoy working in a relevant, growing and highly professional environment where you make a huge impact in a technology-focused company, we want to hear from you.

What you will be doing:

  • Architect and Craft: Design and implement the latest network driver and stack innovations, including zero-copy data transfers and kernel bypass network stacks to minimize latency and CPU utilization.

  • Security Lifecycle: Lead the processes involved in crafting software, specifically built to meet automotive safety and cybersecurity standards.

  • Threat Management: Develop comprehensive threat models, analyze open threats/vulnerabilities, and propose robust mitigation strategies.

  • Vulnerability Tracking: Proactively analyze and track open vulnerabilities, ensuring timely fixes and security patches are integrated into the codebase.

  • Automated Testing: Perform and automate fuzz testing across Linux and QNX operating environments using advanced frameworks to ensure system resilience.

  • Collaboration: Work with multi-functional teams to integrate secure socket programming into autonomous driving and robotics software suites.

 

What we need to see:

  • BS/MS in Computer Science, Computer Engineering, or equivalent experience.

  • 6+ years of relevant work experience in software development with a heavy focus on Cybersecurity.

  • Strong coding skills in C/C++, debugging, and performance tuning in embedded environments.

  • Familiarity with automotive cybersecurity standards, specifically ISO/SAE 21434.

  • Networking Expertise: Confirmed understanding of network protocols and advanced socket programming.

  • Security Tooling: Experience with vulnerability databases and automated fuzzing frameworks (e.g., AFL, libFuzzer, or specialized automotive tools).

  • Proficiency in the English language and the ability to communicate complex security risks to non-technical interested parties.

 

Ways to stand out from the crowd:

  • Kernel Expertise: Deep knowledge of Linux or QNX internals, specifically regarding driver development and memory management.

  • Advanced Networking: Experience with high-performance networking technologies like RDMA, DPDK, or PCIe optimizations.

  • Automotive Safety: Familiarity with functional safety standards such as ISO 26262.

  • Robotics: Prior experience working with ROS (Robot Operating System) or autonomous vehicle sensor data processing.

  • Security Certifications: Certifications such as CISSP, CSSLP, or niche automotive security credentials.

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.

Applications for this job will be accepted at least until December 22, 2025.

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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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