Senior AI Compute Ingenieur — NVIDIA (ufficio Zurich)

NeuCHF 101'500 - 154'000

NVIDIA (ufficio Zurich) · Zürich (ZH)

Categoria: Ingegneria Contratto: full-time Salario: CHF 101'500 - 154'000

LohnCHF 101'500 - 154'000

Today, we’re tapping into the unlimited potential of AI to define the next era of computing.

An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world.

Doing what’s never been done before takes vision, innovation, and the world’s best talent.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world.
Primary responsibilities will include deploying, managing, and maintaining AI infrastructure for new and existing customers.
Be the domain expert with customers during planning calls through implementation.

Primary responsibilities will include deploying, managing, and maintaining AI infrastructure for new and existing customers.
Be the domain expert with customers during planning calls through implementation.
Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!
Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see:
Bachelor’s degree in computer science, Electrical Engineering, or a related field, or equivalent experience.
8+ years providing in-depth support and deployment services in data centers, solving problems for hardware and software products.
Knowledge and experience with Linux Operating System, administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging.
Knowledge and experience with Data center network products and protocols.
Knowledge and experience with Data center monitoring solutions.
Good interpersonal skills with the ability to maintain and deliver resolutions for customer-blocking issues as they arise.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Please contact us to request accommodation.
Your base salary will be determined based on your location, e

Strong organizational skills and ability to prioritize/multi-task easily with limited supervision. Ways to stand out from the crowd:
NVIDIA Certification like: AI Infrastructure and Operations/AI Infrastructure/AI Operations or equivalent.
Kubernetes Experience.
Experience with AI-focused hardware(GPUs) or software(Training/Inferencing). Scripting/Automation tooling background
Industry-standard data center certifications.
NVIDIA is 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.
Are you a creative and autonomous manager who loves a challenge?
Are you ready to become the staff member you always wanted to be?
Come and be part of the best SW design team in the industry!

The scope of these efforts includes a combination of Networking, System Design and Automation while being the face to the customer. What you will be doing:
Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see:
Strong organizational skills and ability to prioritize/multi-task easily with limited supervision. Ways to stand out from the crowd:
Experience with AI-focused hardware(GPUs) or software(Training/Inferencing). Scripting/Automation tooling background

The scope of these efforts includes a combination of Networking, System Design and Automation while being the face to the customer.
What you will be doing:
Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
What we need to see:
Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
Ways to stand out from the crowd:
Experience with AI-focused hardware(GPUs) or software(Training/Inferencing).
Scripting/Automation tooling background

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