NVIDIA is seeking a Professional Services Engineer to join its infrastructure Specialist team, focusing on AI and HPC systems. The role involves working closely with customers, partners, and internal teams to implement, configure, and optimize the Run:ai platform for large-scale AI and machine learning operations.
What You'll Do
- Help customers with the installation and onboarding of the Run:ai software
- Help increase the value of the Run:ai software on a daily basis
- Help data scientists and ML engineers embed best practices in machine learning operations
- Configure Run:ai to match customer’s use case
- Integrate Run:ai into customer's existing ML ops environment including scripting
- Diagnose and solve customer issues in sophisticated cloud native environments
- Use existing profiling and analysis tools to find bottlenecks and low utilization of deep learning models
- Collaborate 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 and other Data Science tools
What We're Looking For
- 3+ years of experience working in a customer facing role at a B2B SaaS/On Prem Software Company
- B.Sc in Computer Science or equivalent experience
- 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
Nice to Have
- CKA
Technical Stack
Kubernetes, Docker, containers, Linux, Unix, GPU virtualization, Run:ai platform, HPC scheduler, cloud native environments, machine learning operations (MLOps), profiling and analysis tools, deep learning models
Team & Environment
infrastructure Specialist team
Benefits & Compensation
- Highly competitive salaries
- Extensive benefits package
- Work environment that promotes diversity, inclusion, and flexibility
- Opportunity to work with forward-thinking and hardworking professionals
- Be part of the best SW design team in the industry
- Exposure to breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization
Compensation: Highly competitive salaries
Work Mode
No location or work mode details provided.
As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.
