Senior AI/ML Solution Architect

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. 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 brains 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. NVIDIA is looking for a Senior AI/HPC Engineer to join its infrastructure Specialist team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! This role will be interacting with customers, partners, and internal teams to analyse, define, and implement large-scale AI/HPC projects. The scope of these efforts includes a combination of Networking, System Design, and Automation, and being the face to the customer.
Primary responsibilities will include deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers.
Be the domain expert with customers during planning calls through implementation.
B S/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.

• 5+ years providing in-depth support and deployment services, solving problems for hardware and software products.
• Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing/advanced networking (tuning and monitoring).
• Excellent verbal and written English skills.
• Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
• Industry-standard Linux certifications.
• Experience with Schedulers such as SLURM, LSF, UGE, etc.

Demonstrated hands-on experience with MPI (e.g., OpenMPI, MPICH), proficient in distributed communication programming and cluster debugging.
Experience in deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance
capable of implementing batch configuration and operational automation for GPU clusters and LLM deployment environments.
knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.
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!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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.