Role overview

Senior HPC Engineer, Services

Requirements and responsibilities

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Details

  • 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.
  • 5+ years experience with HPC Systems and HPC ApplicationsExperience with Linux/Unix and Windows operating system environmentsExperience with scripting languages like Bash and PythonFamiliarity with cloud computing platforms such as AWS, Azure or Google CloudHigh-level knowledge of HPC, schedulers, MPI, containers, kubernetes, and GPU computingFamiliarity with scientific computing libraries and tools like OpenMP and CUDA
  • 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
  • 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
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Browse stack
FocusHPC EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, Azure, KubernetesPrimary skills
Location1 accepted countryEligibility

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