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Lead Systems Engineer, High-Performance Computing - job 12 of 20

IaaS Systems and Storage & Engineering (ISSE) team is part of the Operations & Infrastructure technology organization. Distributed Compute engineering (DCE) is part of ISSE and High-performance compute platform engineering is part of DCE. Our vision, mission and purpose are summarized as following:

Vision: To become a leading technical engineering professional, pioneering in the design and automation of server infrastructure. We envision creating highly secure and efficient operations environments that drive business success and technological advancement.

Mission: Our mission is to deliver high-quality server infrastructure design and automated implementation. We are committed to operating in complex, highly secure, and highly available environments, while maintaining rigorous operations, security, and procedural models.

Purpose: The purpose of this role is to utilize strong hands-on technical engineering skills to design and automate the implementation of server infrastructure based on business requirements. This role will interact with technology domain experts to maintain high security and availability in complex operational environments, thereby driving business efficiency and security.

Essential Functions:

  • GPU as a Service and High-Performance Compute Platform Support: Expertise in deploying, managing, and optimizing GPU as a Service (GaaS) and high-performance compute platforms to support advanced computational workloads.
  • Extensive Datacenter Experience: Proficient in managing complex, geographically distributed IT infrastructures to ensure high availability and performance.
  • Advanced Technical Knowledge: Profound understanding of high-performance, highly available, and secure computing systems utilizing x86 technologies and protocols (NVME, GPU, PCI-E).
  • Enterprise Server and Component Expertise: In-depth knowledge of server components (storage/network controllers, HBA, SSDs) and their functionalities, essential for maintaining high-performance compute environments.
  • Processor and GPU Systems Proficiency: Strong grasp of Intel/AMD architectures, GPU systems, memory hierarchy, and hardware-level security to enhance system performance and reliability.
  • Out-of-Band, UEFI, and BIOS Expertise: Comprehensive understanding of out-of-band management, UEFI, BIOS settings, and their impact on system performance and security in high-performance computing environments.
  • Hardware Lifecycle Management: Experienced in hardware lifecycle management, including firmware and OS driver certifications, to ensure the longevity and reliability of compute resources.
  • Infrastructure Management and Automation: Proficient in installing, configuring, supporting, and maintaining compute infrastructure management tools, with skills in Ansible for automation to streamline deployment and operational tasks.
  • Performance Benchmarking and Tech Evaluation: Capable of running performance benchmarks and evaluating new technologies for various platforms (Linux, Windows, containerized, and virtualized) to ensure optimal performance.
  • Scripting Proficiency: Advanced skills in scripting languages such as PowerShell and Python to automate and optimize infrastructure tasks.
  • Team and Independent Work: Highly motivated, excellent team player, capable of working independently, with strong analytical and troubleshooting abilities to resolve complex issues and mentor junior staff.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead Systems Engineer, High-Performance Computing, Visa

Join our team at a leading company in Ashburn as a Lead Systems Engineer specializing in High-Performance Computing! At our IaaS Systems and Storage & Engineering (ISSE) team, we're driven by a vision to pioneer server infrastructure design and automation that ensures secure and efficient operations environments. As the Lead Systems Engineer, you will play a vital role in our mission to deliver high-quality server infrastructure design and automate its implementation, all while ensuring we thrive within complex and highly secure operational frameworks. Your expertise in deploying and managing GPU as a Service (GaaS) and high-performance compute platforms will directly support advanced computational workloads, making a tangible impact on our business efficiency. You’ll work closely with technology domain experts to uphold stringent security protocols while managing complex, distributed IT infrastructures. Bringing extensive knowledge in advanced computing systems, you will navigate the intricacies of server components, Intel/AMD architectures, and various management tools including Ansible. This hybrid position invites you to balance your time between remote work and our office, fostering collaboration while providing the flexibility many appreciate in today’s work environment. With your advanced scripting skills in languages like PowerShell and Python, you will automate tasks, optimize performance, and mentor junior staff members. Ready to take on this challenge and contribute to a thriving technical team? We can't wait for you to join us!

Frequently Asked Questions (FAQs) for Lead Systems Engineer, High-Performance Computing Role at Visa
What are the primary responsibilities of a Lead Systems Engineer at High-Performance Computing in Ashburn?

The Lead Systems Engineer at High-Performance Computing in Ashburn is primarily responsible for designing and automating server infrastructure according to business requirements. This includes maintaining high security and availability in complex environments, optimizing GPU as a Service (GaaS) deployments, and managing geographically distributed IT infrastructures.

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What qualifications are needed to become a Lead Systems Engineer in the High-Performance Computing sector?

To become a Lead Systems Engineer in High-Performance Computing, candidates should possess extensive technical knowledge in high-performance computing systems, advanced experience with Intel/AMD architectures, and be skilled in scripting languages such as PowerShell and Python. A strong background in hardware lifecycle management and infrastructure automation is also essential.

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How does the Lead Systems Engineer role support business success at High-Performance Computing?

The Lead Systems Engineer supports business success by ensuring that server infrastructure is designed and implemented to meet stringent operational requirements. Their expertise helps in delivering optimized performance, high availability, and security, enabling advanced computational tasks that drive technological advancement and efficiency.

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What is the work environment like for a Lead Systems Engineer working in Ashburn?

A Lead Systems Engineer in Ashburn will experience a dynamic hybrid work environment, alternating between office and remote work. They will collaborate with a team of experts while having the flexibility to work independently on various technical challenges in high-performance computing.

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What tools and technologies does a Lead Systems Engineer use in High-Performance Computing?

In High-Performance Computing, a Lead Systems Engineer utilizes tools for infrastructure management and automation, such as Ansible. They work with advanced hardware components, performance benchmarking tools, and programming languages like PowerShell and Python to optimize and streamline computing environments.

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Common Interview Questions for Lead Systems Engineer, High-Performance Computing
Can you explain your experience with GPU as a Service (GaaS) in high-performance computing?

When answering this question, provide specific examples of your experience with deploying and optimizing GaaS environments. Discuss the challenges you've faced, how you overcame them, and any positive outcomes that resulted from your work.

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What strategies do you use for managing complex, distributed IT infrastructures?

Highlight your experience in managing geographically distributed infrastructures. Discuss specific strategies and tools you employ to ensure high availability and the methodologies you follow to maintain performance across multiple locations.

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How do you approach scripting for infrastructure tasks?

Share your familiarity with scripting languages like PowerShell and Python, emphasizing specific scripts you've written to automate tasks. Mention the effects of automation on efficiency, consistency, and error reduction in infrastructure management.

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Describe your understanding of UEFI and BIOS settings in high-performance computing.

Explain the role of UEFI and BIOS in system performance and security. Discuss your experience in managing these settings and how they impact the deployment and performance of high-performance compute environments.

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What experience do you have with hardware lifecycle management?

Articulate your experience in overseeing the hardware lifecycle, including firmware and driver certifications. Share how you ensure the reliability and longevity of computing resources in your previous roles.

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What is your experience with performance benchmarking for various platforms?

Discuss the tools and methodologies you've used for performance benchmarking across Linux, Windows, and virtualized environments. Provide examples of benchmarks you've conducted and the decisions that were influenced by the results.

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How do you ensure security within high-performance compute environments?

Discuss specific security measures you've implemented in past roles, including systems you’ve designed to enforce operational security. Share how you stay updated with industry best practices and integrate them into your work.

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What challenges have you faced while mentoring junior staff?

Talk about specific mentoring experiences, emphasizing how you approach challenges such as communication gaps or varying skill levels. Highlight successful outcomes that demonstrate your effectiveness as a mentor.

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Can you provide an example of a complex problem you've solved in high-performance computing?

Select a relevant example that showcases your analytical and troubleshooting skills. Describe the problem, the steps you took to resolve it, and the ultimate impact of your solution on the team or organization.

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Why is it important to automate deployment tasks in infrastructure management?

Discuss the benefits of task automation, such as increased efficiency, reduced error rates, and the ability to focus on larger strategic initiatives. Provide examples of how automation has improved processes in your experience.

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DATE POSTED
April 3, 2025

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