must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (HPC) clusters across the world. We are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware. What you'll be doing: Design & Implement: Architect and develop high-performance diagnostic tools and frameworks using Python, tailored for NVIDIA’s latest networking platforms. Performance Optimization: Drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and real-time monitoring without latency. System Diagnostics: Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics. Collaborative Problem Solving: Partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach. Autonomous Execution: Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments. What we need to see: B.Sc or equivalent experience in Computer Engineering, Computer Science, Electrical Engineering, or a related field. 5+ years of hands-on experience in the software development lifecycle, with a proven track record in performance-critical systems. Python Mastery: Advanced programming skills in Python, with a focus on writing optimized, efficient, and scalable code for hardware interfacing. Networking & HW Background: Solid understanding of networking protocols (TCP/IP, InfiniBand, or Ethernet) and hardware-level interaction. Linux Expertise: Strong familiarity with Linux environments, associated debugging tools, and system-l
