Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field., At least 5 years of experience in a customer-facing role within B2B SaaS or software companies., Proficiency in Linux/Unix operating systems and Kubernetes., Hands-on experience with Docker, containerization, and software development..

Key responsibilities:

Assist customers with installation and onboarding of Run:ai software.

Configure and optimize Run:ai for customer use cases and integrate into existing MLops environments.

Diagnose and resolve complex issues in cloud-native environments.

Collaborate with internal teams to understand requirements and develop tools for better integration.

Job description

NVIDIA is looking for a Professional Services Engineer to join its infrastructure Specialist team. Academic and commercial groups around the world are using NVIDIA Runai platform to improve productivity and efficiency for data scientists. Our product provides a unique HPC scheduler, relies on advanced GPUs virtualization technology and Provides an easy access to GPU based environments for data scientist and ML engineers. Join the team building many of the largest and fastest AI/HPC systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic, customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners, and internal teams to analyse, define, and implement large-scale AI/HPC projects.

What you will be doing:

Help our customers with the installation and onboarding of the Run:ai software
On a daily basis to maximize to help increase the value of the Run.AI software. These includes:
Helping data scientists and ML engineers embed best practices in the world of machine learning operations.
Configuring Run:ai to match customer’s use case
Integrate run:ai into customer's existing MLops environment including scripting
Diagnosing and solving customer issues in sophisticated cloud native environments
Use existing profiling and analysis tools to find bottlenecks and low utilization of deep learning models.
Collaborates with internal stakeholders (e.g. Pre-Sales Solution Engineers, Account Managers, Account SAs, Product) in the post-sale stage by understanding business requirements and providing industry and technical input.
Develop new tools and scripts to help simplify integration between Run:ai to other Data Science tools.

What we need to see:

5 years of experience working in a customer facing role at a B2B SaaS/On Prem Software Company
Experience presenting to technical audiences and creating technical content for developers
Experience in Linux / Unix Operating Systems
Hands on experience with Kubernetes
Experience in containerization technologies like Docker, containers
Proven experience with software development
B.Sc in Computer Science or equivalent

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!

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

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