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Senior Solution Architect, AI Compute Engineer - NVIS

AU02 NVIDIA Pty. Ltd

LocationAustralia
SenioritySenior
CompanyAU02 NVIDIA Pty. Ltd
Recently checkedOct 30
Compensation

Salary not listed

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Requirements and working style

Decision details from the source listing

Experience

5+ years stated

Education

BS, MS, PhD, or equivalent experience in Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or a related field

Schedule

unspecified

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WFH.team analysis

What this posting tells you

Senior AI/HPC infrastructure role supporting customers in Australia. Responsibilities include deploying and maintaining Linux-based systems, advising customers through implementation, and providing documentation and knowledge transfer. Requires 5+ years of support and deployment experience; a relevant degree or equivalent experience is requested.

Role lane

Customer success, Data, Design and creative, DevOps, Operations, Software, Customer support

Where you can work

Australia

Working hours

Timezone overlap is not stated.

Arrangement

Senior · full_time

Required signals
Linux system administrationAI/HPC infrastructure deployment and supportCluster managementScriptingAdvanced networking, routing, tuning, and monitoringPerformance optimization and troubleshootingCustomer support and communicationWorkload schedulers such as SLURM, LSF, or UGEIndustry-standard Linux certifications
Preferred signals
MPI (OpenMPI or MPICH)NCCLInfiniBand and high-speed EthernetAutomation tools such as Ansible, Salt, or PuppetKubernetes for AI/ML workloads and HPC environments
Confirm before applying
  • Required timezone overlap is not stated
  • Compensation is not listed
Market context

Customer success hiring on WFH.team

10,060active related roles
3,628new in the latest period
2817.9jobs per 100 candidates
$120kmedian of comparable listed ranges

Category counts come from WFH.team's latest published remote job market snapshot.

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Skills and signals
Linux system administrationAI/HPC infrastructure deployment and supportCluster managementScriptingAdvanced networking, routing, tuning, and monitoringPerformance optimization and troubleshootingCustomer support and communicationWorkload schedulers such as SLURM, LSF, or UGEIndustry-standard Linux certificationsMPI (OpenMPI or MPICH)NCCLInfiniBand and high-speed EthernetAutomation tools such as Ansible, Salt, or PuppetKubernetes for AI/ML workloads and HPC environmentsRemote in Australia
Job description

Senior Solution Architect, AI Compute Engineer - NVIS at AU02 NVIDIA Pty. Ltd

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

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! 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. The scope of these efforts includes a combination of Networking, System Design, and Automation, and being the face to the customer.

What you will be doing

  • 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.
  • 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 into internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see

  • 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).
  • Cluster management technologies.
  • Scripting proficiency.
  • Good 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.

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!

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.

Company context

Working remotely at AU02 NVIDIA Pty. Ltd

AU02 NVIDIA Pty. Ltd is hiring for 3 active remote roles, with remote-friendly openings, application links, and job details refreshed from the public remote job inventory.

Remote policy

Remote hiring signal is inferred from active confirmed-remote job listings.

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