NVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. we are focused on building supercomputers and AI clusters based on groundbreaking technologies. We are looking for an outstanding engineer, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.
What you will be doing:
Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting
Manage Linux job/workload schedules and orchestration tools
Develop and maintain continuous integration and delivery pipelines
Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources
Deploy monitoring solutions for the servers, network and storage
Perform troubleshooting bottom up from bare metal, operating system, software stack and application level
Being a technical resource, develop, re-define and document standard methodologies to share with internal teams
Support Research & Development activities and engage in POCs/POVs for future improvements
What we need to see:
A degree in Computer Science, Engineering, or a related field and 8+ years of experience
Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software
Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
Experience with multiple storage solutions such as Lustre, GPFS, Weka.io. Familiarity with newer and emerging storage technologies.
Python programming and bash scripting experience.
Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef
Deep knowledge of Networking Protocols like InfiniBand, Ethernet
Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)
Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)
Ways to stand out from the crowd:
Knowledge of CPU and/or GPU architecture
Knowledge of Kubernetes, container related microservice technologies
Experience with GPU-focused hardware/software (DGX, Cuda)
Experience with RDMA (InfiniBand or RoCE) fabrics
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, sex, gender, gender expression, 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.
Skills Required
- A degree in Computer Science, Engineering, or a related field
- 8+ years of experience in HPC and AI solution technologies
- Experience with job scheduling and orchestration tools such as Slurm, K8s
- Excellent knowledge of Linux networking and internals
- Experience with storage solutions like Lustre, GPFS, Weka.io
- Python programming and Bash scripting experience
- Familiarity with automation and configuration management tools
- Deep knowledge of Networking Protocols and experience with virtual systems
- Familiarity with cloud computing platforms
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
