Senior Software Engineer developing high-performance diagnostic tools for NVIDIA’s networking platforms. Collaborating with teams for innovative solutions and ensuring hardware stability in high-performance computing environments.
Responsibilities
Architect and develop high-performance diagnostic tools and frameworks using Python.
Drive end-to-end development focusing on software that performs efficiently.
Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
Partner with hardware, firmware, and driver teams to address real-world challenges.
Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment.
Requirements
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.
Advanced programming skills in Python, with a focus on writing optimized, efficient, and scalable code for hardware interfacing.
Solid understanding of networking protocols (TCP/IP, InfiniBand, or Ethernet) and hardware-level interaction.
Strong familiarity with Linux environments, associated debugging tools, and system-level performance tuning.
Strong analytical and debugging skills.
A highly collaborative great teammate who is also self-motivated, well-organized, and capable of working independently in a fast-paced environment.
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