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High Performance Computing Hpc Engineer Jobs in Austin, TX

System Software Engineer, HPC Performance

Austin, TX · On-site

$171K - $203K/yr

Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine ...

Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine ...

HPC Operations Engineer

Austin, TX · Hybrid

$68K - $93K/yr

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you ...

HPC Operations Engineer

Austin, TX · Hybrid

$68K - $93K/yr

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you ...

Hudson River Trading's High Performance Computing (HPC) Network Engineering team designs and engineers the low-latency communications infrastructure that underpins our incredibly large GPU and CPU ...

NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage ... Join our customer success team as an HPC Customer Solutions Engineer . We are seeking a highly ...

... high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and ... What we need to see: * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ...

... high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and ... What we need to see: BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ...

Thermal Senior EngineerThe ISG Thermal Engineering team leads and delivers the development of ... High Performance Computing (HPC), Edge computing devices and enterprise networking, server and ...

Thermal Senior EngineerThe ISG Thermal Engineering team leads and delivers the development of ... High Performance Computing (HPC), Edge computing devices and enterprise networking, server and ...

Thermal Senior EngineerThe ISG Thermal Engineering team leads and delivers the development of ... High Performance Computing (HPC), Edge computing devices and enterprise networking, server and ...

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High Performance Computing Hpc Engineer information

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How much do high performance computing hpc engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for high performance computing hpc engineer in Austin, TX is $59.58, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.45 per hour, depending on experience, location, and employer.

What is a high performance computing HPC engineer?

A High Performance Computing (HPC) Engineer is a professional who designs, builds, maintains, and optimizes powerful computing systems used for complex computational tasks. These engineers work with clusters, supercomputers, and specialized software to solve problems in fields like scientific research, engineering, and data analysis. Their responsibilities include configuring hardware, optimizing software for parallel processing, managing storage systems, and supporting users. HPC Engineers play a critical role in enabling organizations to process large amounts of data quickly and efficiently.

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

To thrive as a High Performance Computing (HPC) Engineer, you need expertise in computer science, parallel programming, and systems architecture, often supported by a relevant degree and experience with large-scale computing environments. Familiarity with Linux/Unix systems, cluster management tools (like SLURM), scripting languages (Python, Bash), and HPC libraries (MPI, OpenMP) is typically required, along with certifications such as CompTIA Linux+ or relevant vendor credentials. Problem-solving abilities, teamwork, and effective communication are essential soft skills for collaborating with researchers and IT staff. These skills ensure efficient design, maintenance, and optimization of HPC systems that support complex computational workloads.

What are some common challenges faced by high performance computing HPC engineers in maintaining large-scale clusters?

HPC Engineers often encounter challenges such as ensuring cluster stability during software updates, managing hardware failures, and optimizing resource allocation to maximize performance. Additionally, troubleshooting complex parallel computing issues and maintaining security across multiple user groups can be demanding. Effective communication with researchers and IT staff is essential to address user needs and system requirements, making collaboration a key part of the role.

EDA Computing / HPC Infrastructure MTS

Austin, TX • On-site

GlobalFoundries
Manufacturing • 10K+ employees

$104K - $175K/yr

Full-time

Re-posted 19 days ago


GlobalFoundries rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz


Job description

About GlobalFoundries:
GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and gives customers the power to shape their markets. For more information, visit www.gf.com.
Summary of Role:
We are hiring an EDA Computing / HPC Infrastructure MTS or Senior MTS to provide advanced technical ownership for semiconductor design, verification, and tapeout computing environments. This hands-on senior technical role supports stable, high-performance, secure, scalable, and cost-effective compute, storage, scheduling, and EDA application services for engineering users.
Essential Responsibilities:
Provide senior-level support for EDA compute clusters used for simulation, physical verification, OPC, lithography, signoff, and tapeout workloads.
Operate, optimize, and troubleshoot IBM LSF and other batch scheduling environments for high-throughput engineering workloads.
Analyze job failures, hung jobs, queue bottlenecks, license constraints, compute node issues, and workload performance problems.
Provide technical ownership for hybrid EDA HPC platforms across on-premises infrastructure and AWS-based compute environments.
Support and optimize EDA storage services, including NFS, NetApp ONTAP, AWS FSx, S3, and related high-performance file services.
Design, develop, and maintain automation tools to improve EDA operations, observability, reliability, and support efficiency.
Own and resolve complex ServiceNow incidents, requests, problems, and changes related to EDA computing services.
Lead root-cause analysis, coordinate planned system changes, and provide concise technical status updates during critical incidents.
Other Responsibilities:
Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Other duties as assigned by manager.
Contribute to team meetings, knowledge sharing, documentation, cross-training, and continuous improvement activities.
Required Qualifications:
Education - Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
Experience - Minimum 8+ years of relevant experience for MTS, or 10+ years of relevant experience for Senior MTS, in EDA computing, HPC, Linux infrastructure, storage, cloud, or production engineering support.
Skills - Strong experience supporting EDA computing, HPC, or large-scale Linux production environments; hands-on experience with batch schedulers, preferably IBM LSF; strong Linux system administration skills on RHEL-based platforms; Bash scripting capability; and ability to analyze complex incidents, identify root causes, and implement sustainable technical solutions.
Travel - Up to 10%
Fluency in English Language - written & verbal.
Preferred Qualifications:
Education - Master's degree in Computer Science, Engineering, Information Technology, or related technical field preferred.
Experience - Experience supporting semiconductor design and tapeout flows, including Calibre, ASML Brion, Cadence, Synopsys, or similar EDA applications.
Skills - AWS or other cloud platform experience for HPC or engineering workloads; NetApp ONTAP, NFS, FSx, S3, or high-performance file storage experience; Python automation experience; and experience with monitoring, logging, dashboarding, capacity reporting, and operational analytics tools.
Project management skills - i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.
Strong written and verbal communication skills.
Strong planning & organizational skills.
Expected Salary Range
$104,000.00 - $175,000.00
The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

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