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Hpc Performance Engineer Jobs in Texas (NOW HIRING)

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 ...

Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that ... Its engineers build critical infrastructure to eliminate friction in scientific research ...

They are seeking an HPC Systems Engineer to work in a large HPC enterprise environment, responsible ... in performance and manageability. • Ability to investigate, debug and diagnose system level ...

Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that ... Its engineers build critical infrastructure to eliminate friction in scientific research ...

Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that ... Its engineers build critical infrastructure to eliminate friction in scientific research ...

HPC Network Architect

Dallas, TX · On-site

$64 - $85.75/hr

... performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build ...

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 ...

HPC Network Architect

Dallas, TX · On-site

$64.25 - $86.25/hr

... performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build ...

HPC Network Architect

Dallas, TX · On-site

$64 - $85.75/hr

... performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build ...

Showing results 41-60

Hpc Performance Engineer information

What is an HPC performance engineer?

HPC Performance Engineers are specialists who focus on optimizing the performance of high-performance computing (HPC) systems and applications. They analyze system bottlenecks, tune software and hardware configurations, and work with researchers and developers to ensure applications run efficiently on supercomputers or large computing clusters. Their work is essential for maximizing computational resources and improving the speed and scalability of scientific, engineering, or data-intensive workloads.

What are the key skills and qualifications needed to thrive as an HPC performance engineer?

To thrive as an HPC Performance Engineer, you need a strong background in computer science or engineering, with expertise in parallel programming, high-performance computing architectures, and performance analysis. Familiarity with tools like MPI, OpenMP, profiling software (e.g., Intel VTune, GNU gprof), and experience with job schedulers and Linux systems are essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for identifying bottlenecks and collaborating with multidisciplinary teams. These skills are vital for optimizing computational workflows, maximizing resource utilization, and driving efficiency in complex HPC environments.

What are the typical challenges HPC performance engineers face when optimizing large-scale computational workloads?

HPC Performance Engineers often encounter challenges such as identifying bottlenecks in parallel code, managing resource contention, and optimizing data movement across distributed systems. They must balance maximizing throughput with minimizing latency, all while ensuring applications scale efficiently as cluster sizes grow. Collaboration with software developers, system administrators, and research teams is common to align application requirements with hardware capabilities and to implement effective performance improvements.

What is the difference between Hpc Performance Engineer vs Hpc System Administrator?

AspectHpc Performance EngineerHpc System Administrator
Primary FocusOptimizing HPC system performance and efficiencyManaging and maintaining HPC infrastructure
Skills & CertificationsPerformance tuning, parallel computing, Linux, scriptingSystem setup, network management, user support
Work EnvironmentResearch labs, data centers, high-performance computing facilitiesData centers, IT departments, research institutions
Common TasksPerformance analysis, bottleneck resolution, code optimizationSystem installation, user account management, hardware troubleshooting

The Hpc Performance Engineer focuses on enhancing system performance and efficiency, often working on optimization and tuning. In contrast, the Hpc System Administrator manages the day-to-day operation and maintenance of HPC systems. Both roles are essential in high-performance computing environments but serve different core functions.

What cities in Texas are hiring for Hpc Performance Engineer jobs?

Cities in Texas with the most Hpc Performance Engineer job openings:

Infographic showing various Hpc Performance Engineer job openings in Texas as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI/HPC Cluster Design Engineer

Austin, TX • On-site

Advanced Micro Devices, Inc
Computer and Electronic Product Manufacturing • 5 - 10K employees

$164K/yr

Full-time

Re-posted 24 days ago


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description


ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.



THE ROLE

We are seeking an experienced AI systems engineer to design scalable AI/HPC clusters with specific focus on compliance with customer and/or design requirements. This role involves reviewing and selecting compute, storage, networking, and power delivery components and solutions to optimize performance and reliability across global deployments. You will collaborate with cross-functional teams to deliver cutting-edge infrastructure for AI and high-performance computing workloads.

THE PERSON

An experienced systems engineer with a strong background in HPC, AI systems, and cluster engineering. You bring deep technical knowledge of compute, power, and networking components, a strategic mindset for system-level design, and the ability to collaborate across diverse technical domains. You thrive in fast-paced environments and are passionate about building efficient, scalable, and reliable compute platforms.

Key Responsibilities:

System Architecture & Design

  • Design scalable AI/HPC clusters including compute, storage, and networking
  • Evaluate and select CPUs, GPUs, accelerators, interconnects, and memory configurations for optimal cluster performance.

Network

  • Design network topologies to maximize overall cluster performance
  • Understand the network performance needs of different types of workloads
  • Understand advantages and performance trade-offs of network topologies for AI/HPC clusters

Storage

  • Design and optimize storage solutions to maximize AI/HPC cluster performance
  • Understand advantages and performance trade-offs of cluster storage solutions, e.g. Lustre, Ceph, etc.

Collaboration

  • Work across multiple organizations with subject matter experts from hardware, software, network, data center, and operations teams to deliver scalable, efficient, and reliable compute infrastructure.
  • Experience in HPC, AI systems/clusters, or data center engineering.
  • Strong understanding of rack and cluster design
  • Knowledge of GPU/CPU architectures, PCIe, UALink, InfiniBand, and Ethernet networking.
  • Familiarity with AI/ML frameworks and workload characteristics.
  • Excellent problem-solving, communication, and documentation skills.

Preferred Qualifications:

  • Experience in HPC, AI infrastructure, or data center systems engineering.
  • Experience designing power delivery solutions for racks and data centers
  • Contributions to open-source HPC or AI infrastructure projects.

Academic Credentials

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science or related field.

 This role is not eligible for Visa Sponsorship

#LI-KW1



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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