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.
Skills Required
- Bachelor of Science degree or equivalent experience in Computer Engineering, Computer Science, Electrical Engineering, or a related field
- 5+ years of hands-on software development lifecycle experience
- Advanced Python programming skills for optimized, efficient, and scalable hardware-interfacing software
- Understanding of networking protocols, including TCP/IP, InfiniBand, or Ethernet
- Experience with hardware-level interaction
- Strong familiarity with Linux environments, debugging tools, and system-level performance tuning
- Strong analytical and debugging skills
- Ability to collaborate effectively, work independently, and operate in a fast-paced environment
- Experience with performance profiling, optimization, and low-level hardware communication such as PCIe or I2C
- Background in C or C++, real-time embedded development, or Linux driver development
- Experience leading technical projects or mentoring team members
- Experience root-causing complex system-level issues and resolving customer-facing hardware challenges
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
