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.
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 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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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