Rescale

HPC Engineer, Services

Rescale1 weeks ago
Location

Remote (United States)

Workplace

Remote

Type

Full Time

Salary

USD 100,000 – 150,000

Level

Mid

Role

HPC Engineer

Posted

Jun 22, 2026

Full TimeRemoteMid

The role

Summary

The HPC Engineer, Services role at Rescale involves becoming a technical expert on the Rescale cloud platform to deliver advanced high-performance computing solutions for demanding customers in aerospace, energy, and manufacturing. You will optimize complex HPC software, develop service best practices, collaborate cross-functionally, and provide technical support for mission-critical simulations. This position requires 2+ years of HPC systems experience, proficiency with Linux/Unix environments and scripting languages, cloud platform knowledge, and foundational understanding of computational engineering disciplines like CFD and FEA.

What you'll do

Platform Expertise Development: Master the Rescale cloud platform and its deep integration with customer workflows across aerospace, energy, and life sciences sectors. Become the go-to technical resource for how Rescale's powerful features enable advanced engineering simulations and scientific discovery.
HPC Software Optimization: Publish, manage, and optimize complex high-performance computing software for demanding enterprise customers. This includes performance tuning for various computational workloads, ensuring software runs efficiently across different cloud infrastructure configurations.
Technical Support and Troubleshooting: Provide comprehensive technical support to customers, independent software vendors, and strategic partners. Diagnose and resolve complex problems related to HPC applications running on Rescale, requiring deep knowledge of both the software and the underlying compute environment.
Service Process Development: Design and implement best practices, processes, and procedures for HPC services and customer support. Drive continuous improvement initiatives to enhance customer satisfaction, quality of deliverables, and service consistency.
Software Maintenance and Benchmarking: Maintain software catalog availability on the Rescale platform through installation, comprehensive benchmarking, and performance optimization. Ensure applications perform optimally within the cloud environment while meeting customer requirements.
Automation and Productivity Enhancement: Identify opportunities to increase operational productivity and customer value realization through automation, tooling, and process improvements. Implement solutions that leverage AI-assisted workflows and infrastructure-as-code methodologies.
Cross-Functional Collaboration: Work collaboratively with sales, product, engineering, and customer support teams to advocate for customer needs, achieve customer success objectives, and contribute to overall company goals. Act as a bridge between technical teams and customer requirements.
Customer Success Alignment: Actively partner with customer support teams to ensure customer value realization improves at every interaction. Drive customer satisfaction and retention through consistent commitment to service excellence and rapid issue resolution.

What we look for

Technical

HPC Systems and ApplicationsDemonstrated expertise with high-performance computing systems, schedulers (SLURM, PBS), MPI (Message Passing Interface), containerization technologies (Docker, Singularity), and GPU computing frameworks. Must understand HPC architecture, job scheduling, and distributed computing principles.
Operating Systems ProficiencyAdvanced knowledge of Linux/Unix operating system environments and familiarity with Windows server environments. Must be comfortable with command-line interfaces, shell scripting, system administration, and cross-platform deployment considerations.
Scripting and AutomationProficiency in scripting languages including Bash and Python for automation, system management, and workflow orchestration. Ability to write production-quality scripts for deployment, monitoring, and data processing tasks.
Cloud Computing PlatformsWorking knowledge of cloud infrastructure providers such as AWS, Azure, or Google Cloud. Understanding of cloud resource provisioning, networking, storage solutions, and cost optimization relevant to HPC workloads in cloud environments.
Scientific Computing LibrariesIntroductory to intermediate exposure to scientific computing libraries and parallel computing frameworks including OpenMP, CUDA, and related tools. Ability to understand and optimize applications that utilize these technologies.
AI-Assisted Development WorkflowsExperience leveraging AI agents, code generation tools, and automation platforms as part of modern software development lifecycle. Ability to apply AI-assisted tools to increase engineering velocity, code quality, and problem-solving efficiency.
CAE Domain KnowledgeBasic foundational understanding of at least one Computer-Aided Engineering discipline such as computational fluid dynamics (CFD), finite element analysis (FEA), electronic design automation (EDA), machine learning/AI simulation, molecular dynamics, weather forecasting, or optical simulation.

Education

Bachelor's DegreeBS or BA degree in Engineering, Computer Science, or closely related technical field. Degree should provide foundational knowledge in mathematics, physics, and computational methods relevant to engineering applications.

Experience

HPC Systems ExperienceMinimum 2+ years of hands-on experience with high-performance computing systems, HPC applications, and production HPC environments. This includes working with computational simulations, job scheduling, resource optimization, and troubleshooting complex HPC workflows.
Cloud and Enterprise PlatformsProfessional experience in cloud computing environments or enterprise platform-as-a-service (PaaS) solutions. Familiarity with provisioning, managing, and supporting applications on cloud infrastructure at scale.
Technical Support or ServicesExperience providing technical support, solutions engineering, or professional services to customers. Demonstrated ability to communicate complex technical concepts clearly and collaborate effectively with diverse stakeholders.

Skills

Required skills

High-Performance Computing (HPC)Core competency in HPC systems, architectures, and applications. Must understand schedulers, resource management, parallel computing, and distributed systems that power scientific and engineering workloads.
Linux/Unix AdministrationAdvanced proficiency with Linux/Unix system administration, including file systems, permissions, networking, package management, and troubleshooting. Essential for managing HPC environments.
Python ProgrammingStrong Python programming skills for automation, scripting, data processing, and integration with HPC systems. Ability to write maintainable, efficient code for operational tasks.
Bash ScriptingProficiency in Bash shell scripting for system administration, workflow automation, and HPC job management. Must be able to write robust scripts for production environments.
Problem-Solving and DebuggingStrong analytical and troubleshooting skills to diagnose complex technical issues in HPC environments. Ability to systematically approach problems, gather diagnostics, and implement solutions.
Technical CommunicationExcellent verbal and written communication skills to interact with colleagues, customers, and cross-functional teams. Ability to explain complex technical concepts clearly to both technical and non-technical audiences.
Collaboration and TeamworkDemonstrated ability to work effectively in cross-functional teams, advocate for customer needs, and collaborate with diverse stakeholders including engineering, product, sales, and customer support.
Self-Directed LearningStrong initiative and ability to self-teach new technologies, platforms, and methodologies. Essential for staying current with evolving HPC technologies and cloud computing advancements.

Nice to have

Kubernetes and Container OrchestrationExperience with Kubernetes, Docker Swarm, or other container orchestration platforms. Beneficial for managing containerized HPC workloads and microservices in cloud environments.
AWS, Azure, or GCP ExpertiseAdvanced experience with major cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of HPC-optimized instances, networking, and specialized cloud services.
CUDA and GPU ComputingHands-on experience with CUDA programming, GPU optimization, and accelerated computing. Valuable for supporting GPU-accelerated HPC applications and performance tuning.
MPI and Parallel ProgrammingWorking knowledge of Message Passing Interface (MPI) frameworks, OpenMP, and parallel programming paradigms. Helpful for optimizing and troubleshooting distributed computing applications.
CFD or FEA SoftwarePractical experience with computational fluid dynamics (CFD) or finite element analysis (FEA) software such as ANSYS, OpenFOAM, or Abaqus. Valuable for understanding customer workflows.
Solutions EngineeringBackground in solutions engineering, customer success, or professional services. Demonstrates ability to translate customer requirements into technical solutions and drive customer satisfaction.
Infrastructure as CodeExperience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation. Useful for automating infrastructure provisioning and configuration management.
DevOps and CI/CDFamiliarity with DevOps practices, continuous integration/continuous deployment (CI/CD) pipelines, and software release management. Beneficial for understanding modern software development practices.

Compensation & benefits

Salary

USD 100,000 – 150,000 (annual)

Stock options

Available

Benefits

Equity and Stock Options

Participate in company growth through competitive equity packages and stock options, aligning employee success with company performance as a leading digital engineering platform.

Comprehensive Health Insurance

Medical, dental, and vision coverage for employees and family members, ensuring comprehensive health protection.

Flexible Work Arrangements

Modern work flexibility supporting remote work options and flexible schedules, enabling work-life balance for distributed teams.

Professional Development

Opportunities for continuous learning, technical certifications, conference attendance, and skill development in emerging HPC and cloud computing technologies.

Collaborative Culture

Work with a diverse, mission-driven team of engineers and scientists passionate about unlocking innovation across aerospace, energy, life sciences, and manufacturing.

Retirement Planning

401(k) retirement savings plans with company matching contributions, supporting long-term financial security.

Paid Time Off

Generous paid vacation, sick leave, and personal time to support employee wellness and work-life integration.

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Rescale

Rescale

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Rescale is a cloud computing platform that provides high-performance computing (HPC) and simulation software solutions for engineering and scientific organizations. The company offers a managed cloud infrastructure and software suite that enables researchers and engineers to run complex computational simulations, including finite element analysis, computational fluid dynamics, and other engineering workloads. Rescale serves industries such as automotive, aerospace, energy, and manufacturing by reducing the complexity and cost of accessing powerful computing resources traditionally required for advanced simulations.

San Francisco, USAFounded 2011rescale.com

Tech Stack

Languages
PythonBashC/C++CUDA
Frameworks
OpenMPMPI (Message Passing Interface)OpenFOAM
Databases
HPC Job Schedulers
Tools
DockerKubernetesAWSAzureGoogle Cloud PlatformTerraformGitAnsible
Other
Linux/Unix Operating SystemsWindows ServerCloud NetworkingAI-Assisted Development ToolsScientific ComputingPerformance Profiling and Optimization
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