Senior HPC Engineer, Services

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. We are seeking an HPC Engineer to join our team!

Responsibilities

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

Requirements

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