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Hpc Engineer Jobs (NOW HIRING)

Rescale

HPC Engineer, Services

$100K - $150K/yr

Develop and implement processes and best practices associated with HPC services and support. * Advocate customer needs internally and working collaboratively with the sales, product and engineering ...

Institute of Foundation Models

HPC Engineer

Sunnyvale, CA

$150K - $300K/yr

Experience • 2+ years in Linux systems administration, SRE, DevOps, cloud operations, HPC, or infrastructure operations. • Strong Linux troubleshooting skills. • Experience with scripting using ...

Intelliswift Software

HPC Engineer

Milpitas, CA · On-site

Job ID: 21-13197 Design and implementation of high-performance compute clusters Solid knowledge on the HPC cluster systems, including scalable/robust storage, high-bandwidth inter-connects, CPU / GPU ...

Institute of Foundation Models

HPC Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

Experience • 2+ years in Linux systems administration, SRE, DevOps, cloud operations, HPC, or infrastructure operations. • Strong Linux troubleshooting skills. • Experience with scripting using ...

Rescale

Senior HPC Engineer, Services

$100K - $150K/yr

We're solving complex challenges that traditional HPC can't-and we're seeking passionate, curious minds to help build the next wave of breakthroughs We are seeking an HPC Engineer to join our team!

Baylor Genetics

Sr HPC Engineer

Houston, TX · On-site

$96K - $132K/yr

JOB SUMMARY We are seeking a Senior HPC Engineer with deep hands-on experience in high-performance computing (HPC), hybrid cloud infrastructure, and large-scale genomic data platforms. This role will ...

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How much do hpc engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for hpc engineer in the United States is $107,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $133,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $300,000 or more annually, especially with senior roles, leadership positions, or in high-demand industries. Skills in cloud computing, machine learning, or cybersecurity, along with advanced certifications, can contribute to reaching this salary level.

Does HPC pay well?

HPC (High Performance Computing) engineers typically earn competitive salaries due to their specialized skills in system architecture, parallel processing, and software optimization. Salaries vary based on experience, location, and industry, but generally, HPC roles offer above-average compensation compared to other engineering fields.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $500,000 or more annually, especially with senior roles, leadership positions, or in high-demand industries like technology or finance. Achieving this level often requires advanced skills, certifications, and extensive experience.

What are the key skills and qualifications needed to thrive in the Hpc Engineer position, and why are they important?

To thrive as an HPC Engineer, you need a solid background in computer science, mathematics, or a related field, with expertise in parallel computing, Linux systems, and high-performance cluster management. Proficiency with job schedulers (like SLURM or PBS), programming languages such as C/C++ or Python, and experience with distributed file systems are highly valuable, and certifications in relevant areas can enhance your qualifications. Strong problem-solving, collaboration, and communication skills help you work efficiently within technical teams and explain complex concepts to non-experts. These skills and qualities are essential for ensuring high performance, reliability, and scalability of computing systems in scientific and enterprise settings.

What are some of the common challenges faced by HPC Engineers in their day-to-day work?

HPC Engineers often encounter challenges such as optimizing performance for complex workloads, troubleshooting system failures, and efficiently managing large-scale infrastructures. You may be required to balance the needs of multiple users and projects, quickly address hardware or software issues, and stay ahead of evolving technologies. Collaboration with researchers, IT staff, and software developers is key to designing robust solutions. Overcoming these challenges helps improve computational efficiency and supports critical research and business objectives.

What does an HPC Engineer do?

An HPC (High-Performance Computing) Engineer designs, deploys, and optimizes high-performance computing systems used for intensive computational tasks. They work with parallel computing, cluster management, and performance tuning to ensure efficient processing of large-scale simulations, data analysis, and scientific research. Their role often involves configuring hardware, optimizing software, and troubleshooting issues to maximize system performance.

What does an HPC engineer do?

An HPC (High-Performance Computing) engineer designs, develops, and maintains large-scale computing systems used for complex data processing and scientific simulations. They optimize hardware and software performance, troubleshoot system issues, and often work with parallel computing tools and programming languages like MPI or CUDA to ensure efficient operation of supercomputers and clusters.
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Hpc Engineer jobs near you
Infographic showing various Hpc Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $107,956 per year, or $51.9 per hour.
HPC Engineer, Services

HPC Engineer, Services

Rescale

Remote

$100K - $150K/yr

Full-time

Re-posted 5 days ago

Job description

Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we're transforming how products are developed-through intelligent automation, applied AI, data management, and the integration of the world's largest network of engineering and R&D applications. Joining Rescale means becoming part of a diverse, collaborative, and mission-driven team that's unlocking faster innovation across industries like aerospace, energy, life sciences, and manufacturing. We're solving complex challenges that traditional HPC can't-and we're seeking passionate, curious minds to help build the next wave of breakthroughs
We are seeking an HPC Engineer to join our team!
At Rescale, this means you will work on and impact:
  • Become an expert in the Rescale platform and its application to customer workflows.
  • Deliver deep technological solutions and support related to some of Rescale's most powerful features.
  • Publish, manage and optimize complex HPC software for our most demanding customers.
  • Develop and implement processes and best practices associated with HPC services and support.
  • Advocate customer needs internally and working collaboratively with the sales, product and engineering teams to achieve customer success goals and contribute to overall company objectives.
  • Actively work with the customer support team to ensure customer value realization is improved through every interaction to drive increased customer satisfaction and retention.
  • Identify opportunities for increased productivity through automation and tools and implement these solutions.
  • Design and improve processes to drive customer satisfaction by consistently meeting or exceeding commitments to customers and improving quality of deliverables.
  • Provide technical support to our customers, independent software vendors and strategic partners.
  • Solve various problems related to the software customers are running on Rescale, requiring a high level of knowledge of the software and an in-depth knowledge of the environment the software runs in.
  • Maintain the software available on Rescale, including installing and benchmarking the software, and optimizing the software's performance for the environment it runs in.

What we're looking for:
  • 2+ years experience with HPC Systems and HPC Applications
    • Experience with Linux/Unix and Windows operating system environments
    • Experience with scripting languages like Bash and Python
    • Interest in cloud computing platforms such as AWS, Azure or Google Cloud
    • General awareness of HPC, schedulers, MPI, containers, kubernetes, and GPU computing
    • Introductory exposure to scientific computing libraries and tools like OpenMP and CUDA
  • Experience applying AI-assisted workflows as part of the software development lifecycle - using AI agents, code generation, and automation as multipliers for engineering velocity and quality
  • Basic understanding of at least one CAE discipline (CFD, FEA, EDA, ML/AI, Molecular Dynamics, Weather Forecasting, Optics, etc.)
  • Ability to collaborate with diverse stakeholders across IT, engineering, and R&D
  • A self-starter eager to learn and support project success in cross-team environments
  • Technical aptitude to learn the product and platform experience and customer journey within the high-performance computing and enterprise PaaS environment
  • Excellent verbal and written communication skills to interact with colleagues and cross-functional teams and third parties
  • BS/BA degree in Engineering, Computer Science, or related field

Rescale is an equal opportunities employer and welcomes applications from all qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. As part of our standard hiring process for new employees, employment with Rescale will be contingent upon successful completion of a comprehensive background check. Here at Rescale, we are committed to being transparent in our policies around candidate privacy. For more details on the information Rescale collects in your application, please view the Rescale Applicant Privacy Policy here.

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