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Senior Hpc Infrastructure Engineer Jobs (NOW HIRING)

asrcfh

Senior HPC Engineer

Mountain View, CA

$123.30K - $168.70K/yr

ASRC Federal is looking for a Senior HPC Engineer, as ASRC Federal InuTeq provides High Performance ... Researches, deploys and manages networking and security infrastructure, including development of ...

ASRC Federal Holding

Senior HPC Engineer

Mountain View, CA · On-site

$123.30K - $168.70K/yr

ASRC Federal is looking for a Senior HPC Engineer, as ASRC Federal InuTeq provides High Performance ... Researches, deploys and manages networking and security infrastructure, including development of ...

asrcfh

Senior HPC Engineer

Mountain View, CA · On-site

$123.30K - $168.70K/yr

ASRC Federal is looking for a Senior HPC Engineer, as ASRC Federal InuTeq provides High Performance ... Researches, deploys and manages networking and security infrastructure, including development of ...

KLA Corporation

HPC Storage Engineer

Ann Arbor, MI · On-site

$105.90K - $180K/yr

... senior product technology process engineers. Central Engineering is KLA's largest engineering ... The Computational Solutions Infrastructure Group (CSIG) at KLA builds scalable, high-performance ...

Orbotech

HPC Storage Engineer

Ann Arbor, MI

$105.90K - $180K/yr

... senior product technology process engineers. Central Engineering is KLA's largest engineering ... The Computational Solutions Infrastructure Group (CSIG) at KLA builds scalable, highperformance ...

Kla

HPC Storage Engineer

Ann Arbor, MI · On-site

$105.90K - $180K/yr

... senior product technology process engineers. Central Engineering is KLA's largest engineering ... The Computational Solutions Infrastructure Group (CSIG) at KLA builds scalable, highperformance ...

Summa

HPC Platform Engineer

Houston, TX · Hybrid

$70 - $90/hr

Install, upgrade, and maintain HPC infrastructure * Configure and optimize parallel file systems ... Collaborate with engineering and scientific users * Support HPC environment upgrades and ...

KLA Corporation

HPC Storage Engineer

Ann Arbor, MI · On-site

$105.90K - $180K/yr

... senior product technology process engineers. Central Engineering is KLA's largest engineering ... The Computational Solutions Infrastructure Group (CSIG) at KLA builds scalable, highperformance ...

Xenon7

Engineer - HPC Platform

$110K - $144.30K/yr

The Cloud and Connectivity organization is seeking an engineer in HPC platforms. This role will ... You will play a crucial role in enabling HPC infrastructure and experiences. * Collaborate with ...

Biohub

Staff HPC Engineer

San Francisco, CA · Hybrid

Our infrastructure supports day-to-day AI researcher workflows. The team works at the intersection ... for a Senior Staff HPC Engineer $241,000-$300,000. New hires are typically hired into the lower ...

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Senior Hpc Infrastructure Engineer information

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$22.5K

$127K

$175.5K

How much do senior hpc infrastructure engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for senior hpc infrastructure engineer in the United States is $126,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior HPC Infrastructure Engineer, and why are they important?

To thrive as a Senior HPC Infrastructure Engineer, you need deep expertise in Linux system administration, networking, and distributed computing, typically backed by a degree in computer science or a related field. Familiarity with HPC cluster management tools (such as Slurm or PBS), scripting languages (like Python or Bash), and experience with high-speed storage systems and parallel file systems is essential. Strong problem-solving, communication, and project management skills enable effective collaboration and troubleshooting in complex, multidisciplinary environments. These skills are crucial for maintaining high system performance, reliability, and supporting the research or enterprise needs that depend on robust HPC infrastructure.

What are some typical challenges a Senior HPC Infrastructure Engineer faces when supporting large-scale computing clusters?

Senior HPC Infrastructure Engineers often encounter challenges such as optimizing system performance for diverse workloads, managing hardware failures quickly, and ensuring seamless integration of new technologies without disrupting ongoing research or operations. Additionally, they must balance user needs for high availability with scheduled maintenance and software updates, and frequently collaborate with researchers, IT teams, and vendors to troubleshoot complex issues. Effective communication and problem-solving skills are essential for navigating these multifaceted responsibilities.

What is a Senior HPC Infrastructure Engineer?

A Senior HPC (High Performance Computing) Infrastructure Engineer is an IT professional specializing in designing, implementing, and maintaining advanced computing systems and clusters used for scientific research, engineering, and data-intensive applications. They ensure the performance, reliability, and scalability of HPC environments by managing hardware, software, networking, and storage solutions. Their role often includes collaborating with researchers, troubleshooting complex issues, and optimizing system configurations to maximize computational efficiency.

What is the difference between Senior Hpc Infrastructure Engineer vs Hpc Systems Administrator?

AspectSenior Hpc Infrastructure EngineerHpc Systems Administrator
CredentialsBachelor's or higher in Computer Science, Engineering; certifications like Linux, HPC-specific certificationsSimilar credentials, often Linux certifications and relevant technical training
Work EnvironmentDesigning, deploying, and maintaining high-performance computing infrastructure in research or enterprise settingsManaging and supporting HPC systems, troubleshooting, and user support
Employer & IndustryResearch labs, universities, tech companies with HPC needsData centers, research institutions, universities
Search & Comparison IntentUnderstanding senior-level responsibilities and qualifications in HPC infrastructureOperational support and system management in HPC environments

The main difference is that Senior Hpc Infrastructure Engineers focus on designing and building HPC systems, while Hpc Systems Administrators handle daily system management and support. The senior role involves higher-level planning and architecture, whereas the administrator role emphasizes maintenance and troubleshooting.

Infographic showing various Senior Hpc Infrastructure Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $126,969 per year, or $61 per hour.
Senior HPC and Quantum Systems Engineer

Senior HPC and Quantum Systems Engineer

Nvidia Corporation

Westford, MA • On-site

$108.60K - $148.60K/yr

Full-time

Posted 23 days ago

Job description

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.
We are seeking a Senior HPC & Quantum Systems Engineer to help architect, deploy, and operate a first-of-its-kind Accelerated Quantum Computing Center in the Boston area! This role sits at the intersection of data center infrastructure, high-performance computing, and emerging quantum systems, and will be essential to turning experimental quantum hardware into a reliable, high-impact research platform. You will lead all aspects of the day-to-day technical ownership of a tightly coupled GPU supercomputing environment coordinated with multiple quantum modalities. This is not a pure research role nor a traditional HPC admin role-it is a systems engineering position dedicated to exploring quantum computing integration with classical systems. This role is ideal for someone who has built and operated production HPC environments, understands low-level systems and networking, and is excited to work hands-on with quantum hardware as it transitions from lab prototypes to operational infrastructure.
What you'll be doing:
Hybrid Quantum-HPC Platform Engineering
  • Build, deploy, and operate a hybrid computing platform combining large-scale NVIDIA GPU clusters with physical quantum processors (neutral atom, trapped ion, superconducting, and future modalities).
  • Integrate quantum control systems and access nodes with HPC infrastructure using APIs, middleware, and orchestration frameworks such as CUDA-Q, cuQuantum, NVQlink, and related toolchains.
  • Develop and refine hybrid execution workflows that coordinate GPU computation, quantum execution, and data movement across tightly coupled systems.

HPC Systems & Operations
  • Be responsible for the reliability, performance, and lifecycle management of the Quantum environment, including Linux systems, QPU hardware, job schedulers (e.g., Slurm), networking, and storage.
  • Work closely with networking and facilities teams to ensure power, cooling, timing, environmental controls, and low-latency connectivity meet quantum hardware requirements.

Vendor & Partner Collaboration
  • Serve as a technical interface to quantum hardware partners, collaborating on system bring-up, connectivity, control interfaces, and co-design opportunities.
  • Help define hosting, networking, and integration requirements for new quantum systems entering the facility.

Application Enablement & Performance
  • Partner with internal researchers and engineers to deploy, optimize, and benchmark hybrid workloads across simulation, quantum error correction, calibration, optimization, and machine learning.
  • Prototype and evaluate end-to-end workflows that demonstrate the capabilities of the platform.

Technical Leadership
  • Produce clear internal documentation, integration guides, and operational runbooks to enable broader adoption of the platform.
  • Represent the organization at technical workshops, conferences, and industry forums when appropriate.

What we need to see:
  • 12+ years of hands-on experience operating HPC or large-scale compute infrastructure in production environments.
  • Bachelor's degree or Master's degree with equivalent experience in Physics, Electrical/Computer Engineering, Computer Science, or equivalent practical experience (PhD a plus).
  • Strong background in Linux systems administration, job schedulers (Slurm or equivalent), and computing environments committed to reliable operation.
  • Proven experience working in data center environments, including networking, storage, power, and operational constraints.
  • Familiarity with quantum computing concepts and hardware architectures (neutral atom, trapped ion, superconducting, photonic).
  • Experience with or strong interest in quantum software environments including CUDA-Q, Qiskit, Cirq, PennyLane, Braket, or similar.
  • Solid understanding of GPU-accelerated computing and heterogeneous systems.
  • Proficiency in Python and/or C++ for automation, API integration, and workflow orchestration.
  • Comfort working across system boundaries: control systems, APIs, networking, and performance tooling.
  • Strong communication skills and the ability to work effectively with experimental scientists, systems engineers, and external partners.

Ways to Stand Out from the Crowd:
  • Direct experience integrating or hosting physical quantum hardware in a data center or HPC environment.
  • Deep knowledge of quantum-classical orchestration, low-latency data paths, or real-time control considerations.
  • Experience working with NVIDIA tools and frameworks.
  • Experience bridging experimental research teams and production infrastructure.

This position plays a central role in bridging quantum research and operational computing infrastructure. You will directly influence how quantum systems are coordinated, scaled, and made usable by researchers, crafting both internal capabilities and external partnerships. Your work will help transform quantum computing from experimental hardware into a dependable, accelerated computing resource. It will operate alongside one of the most advanced GPU platforms in the world! This will materially impact the future of scientific computing. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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