NVIDIA seeks an experienced and innovative Test Engineer to join the System Product Engineering sustain team (SPE). You will work with the entire SPE team, HW and SW teams to debug, develop, and maintain our tests. That will enable our company to achieve strategic and tactical business goals.
As a Sustain Test Engineer, you will be part of a team that is responsible for maintaining all sustained activities as part of the SPE team. You will take responsibility for performing test time reduction (TTR), end-of-life (EOL) support, bug resolution and deployment, Test infrastructure, HW second source modifications, and engineering change orders (ECOs) to support SPE’s activities.
What you'll be doing:
Optimization, integration, and maintenance of our production tests from definitions until the end of the life cycle.
Yields stabilization and enhancements, increase test coverage, reduce test time, and consequently the products’ costs.
Maintain stable, efficient, smoothly running production tests, to enable higher capacity while ensuring the best quality of the network DPU/Adapters/Switch products that are being shipped to our customers.
Work in a Continuous Deployment environment – fast development/deployment cycles.
Troubleshooting and full root cause analysis for production test matters.
You will thrive in a fast-paced, dynamic work environment, emphasizing technical excellence and innovative thinking.
What we need to see:
Bachelor’s degree in computer science, Electrical Engineering, or a related field or equivalent experience
Minimum of 5+ years of relevant experience in Software development or HW test platform development.
Proven experience in C++, Perl, or Python programming languages.
Knowledge of Unix/Linux OS and Linux shell scripting.
Knowledge of high-speed electrical designs in the networking field.
Excellent interpersonal and communication skills in English
Ways to stand out from the crowd:
Data analysis experience, preferably in JMP and other DA techniques.
Strong problem-solving ability.
Experience in product engineering, failure analysis/debugging, or HW design.
Experience with manufacturing environment and large-scale mass production.
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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.”
