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High Performance Computing Hpc Jobs in Pennsylvania

The Pennsylvania State University

$68K - $113K/yr

Design and implement secure, automated infrastructure solutions for high-performance computing environments thru Agile software development * The entry-level DevSecOps individual will work as part of ...

The Pennsylvania State University

Proficiency in R, Python, Linux/Unix, and high-performance computing environments. * Experience with single-cell genomics, functional genomics, statistical genetics, or large-scale consortium ...

TecTammina

Cloudera Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

Understanding of High performance computing and cloud scalability and understanding of cloud provisioning/broker platforms (ServiceMesh Agility, Rightscale, etc.) Demonstrated experience and ability ...

The Pennsylvania State University

Develop and deploy on-prem, external, and hybrid HPC (High Performance Compute) / cloud research ... HPC / Cloud computing platforms and services * AI development and integration * DevSecOps practices ...

The Pennsylvania State University

... HPC systems * Provide technical oversight of complex simulations and interface across the ... Expert-level knowledge of high-performance computing architectures and information systems

The Pennsylvania State University

... HPC systems * Provide technical oversight of complex simulations and interface across the ... Expert-level knowledge of high-performance computing architectures and information systems

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High Performance Computing Hpc information

See Pennsylvania salary details

$32.6K

$68.4K

$112.3K

How much do high performance computing hpc jobs pay per year?

As of Aug 9, 2026, the average yearly pay for high performance computing hpc in Pennsylvania is $68,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $83,200.00 per year, depending on experience, location, and employer.

What is the difference between High Performance Computing Hpc vs Data Scientist?

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are some common challenges faced by professionals working in high performance computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is high performance computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a high performance computing (HPC) specialist?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.
What are popular job titles related to High Performance Computing Hpc jobs in Pennsylvania? For High Performance Computing Hpc jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching High Performance Computing Hpc jobs in Pennsylvania look for? The top searched job categories for High Performance Computing Hpc jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for High Performance Computing Hpc jobs? Cities in Pennsylvania with the most High Performance Computing Hpc job openings:
High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $68,413 per year, or $32.9 per hour.

Senior Data Center Systems Engineer -- AI Infrastructure & Performance Optimization

Johnson Controls

New Freedom, PA • On-site

$99K - $135K/yr

Full-time

Re-posted 11 days ago

Johnson Controls rating

8.0

Company rating: 8.0 out of 10

Based on 407 frontline employees who took The Breakroom Quiz

134th of 537 rated manufacturers

Job description

Senior Data Center Systems Engineer -- AI Infrastructure & Performance Optimization
Job Description
Position Summary
Johnson Controls' Data Center Thermal Solutions team is seeking a Senior Data Center Systems Engineer for the Advanced Technology & Innovation group. This role bridges AI/HPC computing systems with data center infrastructure, focusing on optimizing the interdependencies between computing workloads and cooling efficiency. The ideal candidate will be highly self-driven, able to work independently with limited supervision, and bring deep expertise in GPU-based AI workloads combined with comprehensive understanding of data center infrastructure systems.
Key Responsibilities
  • Deploy, configure, and manage AI/HPC compute clusters running diverse workloads including LLM training and inference, VLM applications, HPC simulations, and stress testing scenarios.
  • Deploy and commission liquid cooling hardware including direct-to-chip cold plates, CDUs, immersion systems, and hybrid cooling solutions for high-density AI infrastructure.
  • Design and execute workload management strategies to evaluate thermal and power characteristics across CPU and GPU-based AI nodes under varied operational conditions.
  • Develop system-level digital twin simulations integrating IT telemetry with mechanical and electrical infrastructure data to model cooling and computing efficiency interdependencies.
  • Extract and analyze telemetry data from IT nodes, GPUs, CPUs, and thermal systems including chillers, cooling towers, pumps, and CDUs to optimize performance and energy efficiency.
  • Collaborate with thermal engineers and controls teams to validate cooling system performance under real-world AI/HPC workloads and support NPI development initiatives.
  • Integrate and leverage DCIM and BAS platforms for holistic infrastructure monitoring, predictive analytics, and operational optimization.
  • Author technical reports and industry white papers documenting research findings, best practices, and performance benchmarks for AI data center infrastructure.
  • Represent Johnson Controls at industry conferences, technical forums, and customer engagements to share innovations and establish thought leadership in AI infrastructure optimization.
  • Interface with hyperscalers, OEMs, and technology partners to align infrastructure solutions with evolving AI hardware and workload requirements.
  • Contribute to technical publications, patent filings, and industry standards related to data center systems optimization.

Qualifications
  • PhD or Master's degree in Electrical Engineering, Mechanical Engineering, or Computer Science.
  • 5-7 years of professional experience in AI/HPC infrastructure, data center operations, or related technical roles.
  • Prior experience working in data center environments strongly preferred.
  • Proven hands-on experience deploying and managing LLM, VLM, training, inference, and HPC simulation workloads on GPU-based AI infrastructure.
  • Deep understanding of AI hardware architectures (NVIDIA H100/H200, AMD MI300, etc.) and their thermal/power characteristics across diverse workloads.
  • Strong knowledge of data center mechanical systems (cooling distribution, heat rejection), electrical systems (power distribution, UPS), and networking architectures (InfiniBand, Ethernet fabrics).
  • Proficiency with DCIM platforms, BAS integration, and digital twin modeling tools for infrastructure simulation and optimization.
  • Experience with stress testing tools, workload orchestration platforms (Kubernetes, Slurm, etc.), and telemetry collection frameworks.
  • Demonstrated ability to work independently, manage complex projects, and deliver results with minimal supervision.
  • Track record of innovation and cross-functional collaboration in data center or AI infrastructure environments.
  • Strong technical communication and presentation skills for conference participation and white paper authorship.

Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

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About Johnson Controls

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Johnson Controls is a world leader in smart buildings, creating safe, healthy and sustainable spaces. For nearly 140 years, we’ve made buildings better and now we’re transforming them again with our award-winning digital technologies and services. We’re using artificial intelligence and data driven solutions to give you deeper insight into your building’s health, sustainability and performance. It’s changing the way we design, operate and maintain indoor environments and driving to a new era of autonomous buildings. We deliver the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, hotels, manufacturing and beyond through OpenBlue, our comprehensive suite of connected solutions. Johnson Controls offers the world’s largest portfolio of building technology, software and services. Supported by a team of more than 100,000 dedicated employees working across 150 countries, we’re helping customers achieve their sustainability goals and power their mission.

Industry

Machinery manufacturing, water transportation, public safety statistics centers and offices and manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

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