HPC Engineer, Services

HPC Engineer · Senior · Full Time · Remote

Remote (United States) · RemoteUSD 100k – 150k3mo ago
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Role

What you'll do.

Rescale is seeking a highly skilled HPC Engineer to join their innovative cloud computing platform, focusing on delivering advanced technological solutions for engineering and scientific computational needs. The ideal candidate will support complex HPC workflows, optimize software performance, and drive customer success in a dynamic, collaborative environment.

Responsibilities

  • Platform Expertise: Become an expert in the Rescale platform, delivering deep technological solutions and support for complex HPC features
  • Software Optimization: Publish, manage, and optimize complex HPC software for demanding customers, including installation, benchmarking, and performance tuning
  • Process Development: Develop and implement best practices for HPC services, support, and customer interaction processes
  • Cross-Functional Collaboration: Work closely with sales, product, engineering, and customer support teams to drive customer success and company objectives
  • Technical Support: Provide comprehensive technical support to customers, independent software vendors, and strategic partners, solving complex software and environment-related challenges
  • Automation and Productivity: Identify and implement opportunities for increased productivity through automation and innovative tools

Qualifications

What we look for.

Technical

  • HPC Systems

    5+ years of experience with High-Performance Computing systems and applications

  • Operating Systems

    Proficiency in Linux/Unix and Windows environments

  • Scripting Languages

    Advanced skills in Bash and Python scripting

  • Cloud Platforms

    Experience with AWS, Azure, or Google Cloud computing platforms

  • HPC Technologies

    Deep knowledge of HPC schedulers, MPI, containers, Kubernetes, and GPU computing

  • Scientific Computing

    Familiarity with scientific computing libraries like OpenMP and CUDA

Education

  • Academic Qualification

    Bachelor's degree in Engineering, Computer Science, or a related field

Experience

  • Domain Expertise

    Knowledge in at least one CAE discipline (CFD, FEA, EDA, ML/AI, Molecular Dynamics, etc.)

  • AI Workflows

    Experience with AI-assisted software development lifecycle, including AI agents and code generation

  • Stakeholder Management

    Proven ability to work with diverse stakeholders across IT, engineering, and R&D

Skills

Required

  • HPC Systems

    Comprehensive understanding of high-performance computing architectures and workflows

  • Cloud Computing

    Strong skills in cloud platform management and optimization

  • Technical Problem Solving

    Advanced ability to diagnose and resolve complex technical challenges

Preferred

  • AI Integration

    Nice to have

    Experience integrating AI tools into engineering workflows

  • Computational Modeling

    Nice to have

    Advanced knowledge of specific computational engineering disciplines

Tech stack

Languages

PythonBash

Frameworks

KubernetesMPI

Tools

AWSAzureGoogle Cloud

Other

CUDAOpenMP

Compensation

Pay and benefits.

Base·USD 100,000 – 150,000

Equity·Stock options

Benefits

  • Equity

    Stock options available as part of compensation package

  • Remote Work

    Fully remote work arrangement with flexible location

  • Innovative Environment

    Opportunity to work on cutting-edge HPC and cloud computing technologies

Process

Interview steps.

  1. 01

    Initial Screening

    HR phone interview to assess candidate background and fit

  2. 02

    Technical Assessment

    Comprehensive technical evaluation of HPC and cloud computing skills

  3. 03

    Hiring Manager Interview

    In-depth discussion of technical expertise and project experience

  4. 04

    Team Interview

    Virtual interviews with potential team members to assess collaboration potential

  5. 05

    Final Interview

    Executive-level interview to confirm overall organizational fit

Full posting

Original listing.

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:

  • 5+ 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

    • Familiarity with cloud computing platforms such as AWS, Azure or Google Cloud

    • High-level knowledge of HPC, schedulers, MPI, containers, kubernetes, and GPU computing

    • Familiarity with 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

  • General knowledge in at least one CAE discipline (CFD, FEA, EDA, ML/AI, Molecular Dynamics, Weather Forecasting, Optics, etc.)

  • Experience working with diverse stakeholders across IT, engineering, and R&D

  • A self-starter with a proven track record of driving project success and aligning in complex cross-team environments

  • Technical aptitude to deeply understand 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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