NVIDIA is looking for a Senior AI/HPC Engineer to join its infrastructure Specialist team. The role involves working on a dynamic, customer‑focused team, interacting with customers, partners, and internal teams to analyze, define, and implement large‑scale AI/HPC projects. The scope includes networking, system design, and automation, serving as the face to the customer.

What You Will Be Doing

- Deploy, manage, and maintain AI/HPC infrastructure in Linux-based environments for new and existing customers.
- Serve as the domain expert with customers during planning calls through implementation.
- Provide hand‑over documentation and perform knowledge transfers to support customers as they roll out sophisticated systems.
- Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What We Need To See

- BS/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, and advanced networking.
- Cluster management technologies.
- Proficient scripting.
- Positive interpersonal skills with the ability to maintain and deliver resolutions for customer‑blocking issues as they arise. 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.

Ways To Stand Out From Crowd

- Demonstrated hands‑on experience with MPI (e.g., OpenMPI, MPICH), proficient in distributed communication programming and cluster debugging.
- In‑depth understanding of NCCL principles and applications, with expertise in collective communication optimization for NVIDIA GPU clusters.
- Experience in deploying and optimizing high‑speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance.
- Familiarity with automation tools (Ansible, Salt, Puppet, etc.), 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.

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.

JR

#J-18808-Ljbffr

📌 Senior Solution Architect, AI Compute Engineer - NVIS (City of Sydney)
🏢 Nvidia
📍 City of Sydney