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Lead Systems Engineer, High-Performance Computing - job 18 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

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

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

As the Lead Systems Engineer for High-Performance Computing at our Ashburn location, you’ll be playing a pivotal role in our IaaS Systems and Storage & Engineering team within the Operations & Infrastructure technology organization. You will lead the charge in designing and automating server infrastructure that underpins our mission to deliver cutting-edge technology solutions. Your expertise in GPU as a Service and high-performance compute platforms will be critical in optimizing advanced computational workloads. With your extensive data center experience, you’ll manage complex IT infrastructures, ensuring they are both high-performing and secure. You’ll be working closely with technology domain experts to maintain high availability and robustness of our operations. Your profound knowledge of x86 technologies, server components, and advanced operating systems makes you an ideal candidate for this role, where you will be responsible for orchestrating and executing strategic technology initiatives. Additionally, your capabilities in infrastructure management and automation by utilizing tools like Ansible will pave the way for streamlined operations. This hybrid position provides flexibility, allowing you to blend remote work with in-office collaboration, ensuring high productivity while fostering team connectivity. We’re excited about the potential you bring to innovate and contribute to our vision of establishing a secure and efficient technological landscape that can drive both business success and technical advancement.

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

The Lead Systems Engineer for High-Performance Computing is primarily responsible for designing and automating server infrastructure. This role involves deploying GPU as a Service, managing complex IT systems, and ensuring high availability and optimal performance across various environments. Additionally, you’ll work on hardware lifecycle management and provide technical support to enhance operational efficiency.

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What qualifications do I need to apply for the Lead Systems Engineer position in High-Performance Computing?

Candidates for the Lead Systems Engineer position should possess advanced technical knowledge of high-performance computing systems, especially in x86 technologies, and have hands-on experience in data center management. Certifications in relevant technologies, along with a solid understanding of server components and experience in scripting languages like PowerShell and Python, are highly desirable.

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What is the work environment like for the Lead Systems Engineer in High-Performance Computing?

As a Lead Systems Engineer, you will be in a hybrid work environment. This means you can alternate between working remotely and being in the office 2-3 days a week. The flexible schedule allows for both independent work and collaboration with the team to ensure we meet our business needs effectively.

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What is the significance of GPU as a Service in the Lead Systems Engineer role?

GPU as a Service is a crucial aspect of the Lead Systems Engineer's responsibilities as it supports advanced computational workloads. The role involves optimizing and managing these high-performance platforms, which are essential for tasks requiring significant computational power, thus enhancing our service offerings and overall system performance.

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How does scripting proficiency contribute to the role of Lead Systems Engineer in High-Performance Computing?

Scripting proficiency is vital for the Lead Systems Engineer as it enables automation of infrastructure tasks, streamlines deployment processes, and enhances operational efficiency. Utilizing languages like PowerShell and Python, you can implement solutions that improve system reliability and performance in our high-performance computing environments.

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Common Interview Questions for Lead Systems Engineer, High-Performance Computing
What are your experiences with managing high-performance computing systems?

In your response, highlight specific projects or systems you have managed, detailing your role in ensuring high availability and performance. Discuss the challenges you faced and how you overcame them, showcasing your technical skills and problem-solving abilities.

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Can you explain your familiarity with GPU as a Service?

Discuss your understanding of GPU as a Service, including how you have deployed, managed, or optimized GaaS platforms in your previous roles. Provide examples that illustrate your expertise and the impact of your work on system performance.

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Describe your approach to infrastructure management and automation.

Share your strategies for infrastructure management, including any specific tools you've used like Ansible. Discuss how automation has improved operational efficiency in your past experiences and provide measurable outcomes where possible.

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What is your experience with scripting languages like PowerShell or Python?

Discuss specific instances where you've used PowerShell or Python to automate tasks or enhance system performance. Highlight your proficiency and any notable scripts you've developed that contributed to operational efficiency.

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How do you ensure security and compliance in high-performance computing environments?

Outline your procedures for maintaining security in high-performance environments, including implementing robust security measures, conducting audits, and your knowledge of compliance standards relevant to computing infrastructure.

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Can you provide an example of how you've mentored junior staff in a technical setting?

Share a specific example illustrating your mentoring approach, focusing on how you supported junior staff in developing their skills. Highlight the impact of your mentoring on their professional growth and team dynamics.

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What kind of performance benchmarking have you conducted in past roles?

Discuss the performance benchmarking practices you have employed, including the metrics you used, the tools for evaluation, and the outcomes of your assessments in enhancing system capabilities.

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How do you handle troubleshooting in highly complex environments?

Share your strategies for troubleshooting, focusing on systematic approaches you’ve adopted to identify and resolve complex IT issues. Providing examples of successful resolutions will enhance your answer.

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What is your philosophy regarding team collaboration and independent work?

Explain how you balance independent tasks with teamwork, emphasizing your communication strategies and how collaboration has led to successful project outcomes in your past roles.

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How do you stay updated with emerging technologies in high-performance computing?

Detail your methods for continuous learning and staying updated with the latest trends and technologies, including resources like conferences, online courses, and professional networks that contribute to your expertise.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 2, 2025

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