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High Performance Computing Software Developer Jobs in Austin, TX

Nvidia

GPU Performance Profiling Engineer

Austin, TX · On-site

Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers profile and analyze the performance of their applications using software and hardware ...

Nvidia

GPU Performance Profiling Engineer

Austin, TX · On-site

Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers profile and analyze the performance of their applications using software and hardware ...

Intel

CPU Performance Architect

Austin, TX · On-site

$165K/yr

... and software throughout the product life cycle. * Understands the CPU requirements and defines ... Engineering, or related computing discipline and experience listed below. * High performance micro ...

Intel Corporation

CPU Performance Architect

Austin, TX · On-site

$165K/yr

... and software throughout the product life cycle. * Understands the CPU requirements and defines ... Engineering, or related computing discipline and experience listed below. * High performance micro ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Responsibilities : • Design, develop, and maintain high-performance software applications using C ... scientific computing. • Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Responsibilities : • Design, develop, and maintain high-performance software applications using C ... scientific computing. • Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines ...

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All JobsHigh Performance Computing Software Developer JobsHigh Performance Computing Software Developer Jobs in Austin, TX

High Performance Computing Software Developer information

See Austin, TX salary details

$47.6K

$110.9K

$164.5K

How much do high performance computing software developer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for high performance computing software developer in Austin, TX is $110,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $128,900.00 per year, depending on experience, location, and employer.

What is a high performance computing software developer?

A High Performance Computing (HPC) Software Developer is a professional who designs, develops, optimizes, and maintains software applications that run on supercomputers or computing clusters. Their primary goal is to maximize computational efficiency and speed by leveraging parallel processing, distributed systems, and specialized hardware. HPC Software Developers often work closely with scientists, engineers, and researchers to solve complex computational problems in fields like physics, climate research, bioinformatics, and engineering simulation. They typically use programming languages such as C, C++, Fortran, and Python, and are skilled in technologies like MPI, OpenMP, and CUDA. Their work ensures that large-scale simulations and data analyses can be performed faster and more efficiently.

What are some common challenges high performance computing software developers face when optimizing code for large-scale systems?

HPC Software Developers often encounter challenges related to parallelization, memory management, and scalability when optimizing code for clusters or supercomputers. Balancing efficient use of compute resources with minimizing communication overhead between nodes is crucial. Additionally, developers must frequently update their skills to keep up with evolving hardware architectures and software libraries. Collaborating with domain scientists and IT staff is also common to ensure solutions meet both performance and scientific goals.

What are the key skills and qualifications needed to thrive as a high performance computing software developer, and why are they important?

To thrive as an HPC Software Developer, you need strong programming skills in languages like C, C++, or Fortran, a solid understanding of parallel computing concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with MPI, OpenMP, CUDA, and performance profiling or debugging tools is essential, along with experience using Linux-based systems and HPC clusters. Problem-solving ability, attention to detail, and effective teamwork make candidates stand out in this role. These competencies are vital for developing optimized, scalable software that maximizes the efficiency and capability of advanced computing resources.

What is the difference between High Performance Computing Software Developer vs Computational Scientist?

AspectHigh Performance Computing Software DeveloperComputational Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fieldMaster's or Ph.D. in Science, Engineering, or related field with programming skills
Work EnvironmentSoftware development teams, research labs, tech companiesResearch institutions, laboratories, academia
Employer & Industry UsageTech firms, government agencies, research centersUniversities, government research labs, scientific organizations
Common Search & Comparison IntentUnderstanding software development roles in HPCUnderstanding scientific computing roles

The main difference is that High Performance Computing Software Developers focus on designing and optimizing software for HPC systems, while Computational Scientists use these systems to perform scientific research and simulations. Both roles require programming skills, but their primary goals differ: one develops software, the other applies it to scientific problems.

Infographic showing various High Performance Computing Software Developer job openings in Austin, TX as of August 2026, with employment types broken down into 8% Internship, 74% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,862 per year, or $53.3 per hour.

Senior Confidential Computing Software Engineer (Kubernetes & Virtualization)

Austin, TX • On-site

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

$122K/yr

Full-time

Posted 13 days ago

Key responsibilities

  • Develop and upstream AMD SEV-SNP enablement for KubeVirt, including confidential VM configuration, libvirt/QEMU integration, guest launch flows, node feature discovery, and end-to-end validation

  • Implement confidential VM and attestation functionality across KubeVirt, VirTEE, Trustee, and related components, including secure workload launch, policy enforcement, evidence handling, and secret-release flows

  • Support confidential container enablement where it intersects with VM-based trusted execution environments, including Kata Containers and Confidential Containers integration points

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

28th of 162 rated electronics manufacturers

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we'll advance your career.
THE ROLE:
AMD's SW Ecosystem Security Engineering Team is seeking a software engineer to deliver confidential computing enablement for AMD EPYC platforms, with primary emphasis on Kubernetes and KubeVirt-based confidential virtual machine support. The role focuses on making AMD SEV-SNP capabilities usable through open source virtualization and confidential computing stacks such as KubeVirt, OpenShift Virtualization, Kata Containers, Confidential Containers, VirTEE, Trustee, and related attestation components. The developer will work across host, guest, hypervisor, orchestration, and container runtime layers to help turn AMD platform security features into production-ready software, validation, documentation, and partner-facing enablement. Success in this role requires strong systems software fundamentals, open source execution, and the ability to collaborate with upstream communities, OS vendors, and internal AMD stakeholders on technically rigorous solutions for confidential VMs, confidential containers, and AMD EPYC platform enablement.
THE PERSON:
The ideal candidate is a hands-on systems engineer who can move comfortably between architecture, implementation, debug, test, and upstream review. They should be able to reason deeply about confidential VM behavior in KubeVirt-based environments, including guest-owner trust boundaries, firmware and hypervisor interactions, attestation evidence, policy enforcement, secret handling, and the practical integration work required to expose AMD SEV-SNP capabilities through open source virtualization stacks. This person communicates clearly with maintainers, OS vendor partners, and internal stakeholders; identifies practical gaps in evolving upstream projects; and converts ambiguous platform enablement needs into accepted designs, working code, reliable tests, and clear technical guidance.
KEY RESPONSIBILITIES:
  • Develop and upstream AMD SEV-SNP enablement for KubeVirt, including confidential VM configuration, libvirt/QEMU integration, guest launch flows, node feature discovery, and end-to-end validation.
  • Implement confidential VM and attestation functionality across KubeVirt, VirTEE, Trustee, and related components, including secure workload launch, policy enforcement, evidence handling, and secret-release flows.
  • Support confidential container enablement where it intersects with VM-based trusted execution environments, including Kata Containers and Confidential Containers integration points.
  • Debug integration issues across Linux, KVM, QEMU, libvirt, KubeVirt, guest firmware, attestation services, container runtimes, and platform configuration.
  • Create and maintain CI coverage, hardware-backed validation, functional tests, interoperability tests, and demonstrations for AMD confidential computing features.
  • Collaborate with upstream maintainers, OS vendors, partner teams, and internal AMD stakeholders through design reviews, community discussions, roadmap alignment, and technical issue resolution.
  • Develop AMD EPYC platform-aware, such as Kubernetes, enablement where NUMA locality, cache hierarchy, CCD/CCX organization, SMT placement, CPU pinning, or device locality affect confidential VM performance, placement, or deployment predictability.
  • Produce technical documentation, planning material, usage guidance, and proof-of-concept support for confidential VM deployment and related confidential computing workflows.

PREFERRED EXPERIENCE:
  • Systems software development experience in Rust, Go, Python, and Bash for Linux, virtualization, or cloud-native infrastructure projects.
  • Technical proficiency with Kubernetes, Linux, KVM, QEMU, libvirt, guest firmware, VM lifecycle management, and debugging across host, guest, hypervisor, and containers.
  • Hands-on experience with KubeVirt, OpenShift Virtualization, Red Hat OpenShift Virtualization, or comparable open source virtualization environments.
  • Experience with confidential computing technologies such as AMD SEV-SNP, SEV, SEV-ES, confidential VMs, confidential containers, trusted execution environments, or guest-owner trust models.
  • Working knowledge of attestation concepts and components, including attestation evidence, VCEK handling, policy configuration, and secret-release workflows.
  • Track record contributing code, tests, documentation, design proposals, or reviews to upstream open source projects.
  • Experience developing CI, end-to-end tests, hardware-backed validation, demos, or technical guides for virtualization or platform enablement features.
  • Experience collaborating with OS vendors, software partners, ISVs, customers, or upstream engineering teams on deployment guidance, proof-of-concept enablement, or production-readiness.
  • Understanding of x86 or AMD EPYC architecture concepts relevant to confidential VM placement and performance, including memory encryption, NUMA topology, cache hierarchy, CPU pinning, SMT placement, and device locality.

ACADEMIC CREDENTIALS:
  • Bachelor's or Master's degree in Computer or Electrical Engineering or equivalent

LOCATION:
Austin, TX or Santa Clara, CA
This role is not eligible for visa sponsorship.
#LI-AG1
#LI-HYBRID
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.

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