As a member of the team, you will be a part of a cutting-edge Python-based SW project using advanced techniques to solve complex issues. You will gain unique knowledge of how operating systems work, Linux kernel and how large scale networks are constructed. Teams utilize the latest software engineering methodologies and tools in an agile fashion to release on time. Are you ready for this challenge? The Networking Hardware Acceleration team develops a cutting-edge, high speed API for NVIDIAs Network Interface Cards (NICs). We power foundational projects like DPDK and DOCA-Flow, driving next-generation networking performance. Join us to gain deep insights into NVIDIAs hardware acceleration technology and make a meaningful impact on both software and hardware innovation.
What Youll Be Doing:
Learn new networking features, plan their verification strategy, and implement it on top of a Python-based in-house developed environment.
Design, develop, optimize, and maintain an OS/Kernel verification testing platform.
Collaborate with team members, architects, design, QA teams, and customers (both external and internal).
Innovate! We are always looking for new ways to make NVIDIA's Networking driver products shine in customers' eyes.
What We Need To See:
B.S. degree or equivalent experience in Engineering/Computer Science/related field.
+1 years of relevant experience
Strong technical abilities, problem-solving, design, coding, and debugging skills.
Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision.
Great teammate with strong interpersonal skills.
Ways To Stand Out Of The Crowd:
Proven experience in Python programming.
Knowledge in Networking protocols and Linux kernel.
Experience in software verification or validation.
