Senior HPC Engineer
Indexed description
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 to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
- Bachelor's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience.
- 4+ years providing in-depth support and deployment services, solving problems for hardware and software products.
- Knowledge and experience with AI Factory / HPC, including Linux System Administration, process management, task scheduling, kernel management, boot procedures, troubleshooting, performance reporting, and optimization.
- 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/multitask easily with limited supervision.
- Experience with Schedulers such as SLURM, LSF, PBS, etc.
- Industry-standard Linux certifications.
- InfiniBand or Ethernet Experience.
- Experience with GPU-focused hardware/software.
- Experience with MPI.
- Automation tooling background (Ansible, Salt, Puppet etc.).
NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all
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