Senior System Software Performance Automation Engineer

Posted 12 Days Ago
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Tel Aviv
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior System Software Performance Automation Engineer at NVIDIA, you will build automated systems for testing and improving performance of software, analyze defects, and collaborate with engineering teams.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We seek an SW Automation Senior Engineer to join our performance verification team. As a Performance Automation Engineer at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for Ethernet AI solution and gain a deep understanding of NVIDIA products and technologies.

What you’ll be doing:

  • Participate in an international team of software engineers working on products for testing NVIDIA products

  • Build automated verification environment for high-end hardware and software which is at the forefront of innovation

  • Identify, analyze, and report software defects, inconsistencies, and other quality issues.

  • Drive improvements for performance, quality, stability around SW acceleration solutions.

  • Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

What we need to see:

  • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field

  • 4+ years of experience as a Software Engineer

  • Experience in developing modern Software Verification System/QA automation and contribution with a real passion for automation.

  • Strong programming skills in Python

  • Expertise in networking & compute infrastructure (servers, switches, routers, TCP/UDP).

  • Knowledge of how to tune environment for the best performance and deploy infrastructure based on innovate technologies and high-end hardware.

  • Strong technical abilities, problem-solving skills, coding, and design skills

  • Ability to lead feature development, take full ownership and deliver independently

  • Linux knowledge: have a general understanding of Linux operation system concepts

Ways to stand out from the crowd:

  • Knowledge in performance testing scenarios and creation of performance reports.

  • Proven experience in a leadership role, with a track record of successfully leading scrums and projects

  • Strong communication and interpersonal skills, with the ability to motivate and inspire others.

  • Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols

  • Prior software testing experience, with an understanding of Software Testing Tools and Methodologies and Python expertise

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

Top Skills

Linux
Networking
Python
Tcp
Udp
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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