Senior Software Engineer – Networking Platforms, Diagnostics Tools and Perf at NVIDIA

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

12 Jul, 26

Salary

0.0

Posted On

13 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Networking Protocols, TCP/IP, InfiniBand, Ethernet, Linux, Hardware Diagnostics, Performance Optimization, Debugging, System-level Performance Tuning, Software Development Lifecycle, Hardware Interfacing, Performance Profiling, PCIe, I2C, C/C++

Industry

Computer Hardware Manufacturing

Description

The NVIDIA Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person 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-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. Ways to stand out from the crowd: Performance Tooling: Experience with performance profiling, optimization, and low-level hardware communication (e.g., PCIe, I2C). Low-Level Knowledge: Background in C/C++, RT embedded development, or driver development within a Linux environment. Technical Leadership: Experience leading technical projects or mentoring team members in a dynamic setting. Problem Solving: Confirmed experience in root-causing complex system-level issues and solving customer-facing hardware challenges. At NVIDIA, we value diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We provide reasonable accommodations to ensure all individuals can participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Join us and be part of a team that's pushing the boundaries of technology and making a real impact in the world. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Architect and develop high-performance diagnostic tools and frameworks for networking platforms using Python. Collaborate with hardware, firmware, and driver teams to ensure system stability and optimize performance for high-throughput data.