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High Performance Computing Architect

FLEXCOMPUTE

FLEXCOMPUTE

IT
Watertown, MA, USA
Posted on Mar 27, 2024

Flexcompute is leading the charge in transforming the engineering simulation landscape with our groundbreaking ultra-fast simulation technology. Our suite of products, including the acclaimed Computational Fluid Dynamics (CFD) software Flow360, is at the forefront of the industry, revolutionizing how simulations are conducted across various sectors. Our inception is rooted in the pioneering foresight of experts from Stanford University and MIT, supported by significant investments from top-tier venture capital firms. As innovators, we’re dedicated to continuously pushing the boundaries, driving rapid growth, and challenging the traditional norms of the multi-billion-dollar engineering simulation market.

Role Overview

Flexcompute is seeking a highly skilled and motivated Director of High Performance Computing (HPC) to lead the development of cutting-edge HPC solutions. The ideal candidate will have a robust background in systems design, distributed systems, and computer architecture, with a demonstrated ability to architect low-latency, reliable, cloud-based applications.

We invite you to envision a future where your expertise in High Performance Computing catalyzes the evolution of physics simulation, harnessing next-generation technologies such as advanced computational chips, cloud scalability, and AI-enhanced functionalities. This role is an opportunity to challenge the conventional, to innovate beyond boundaries, and to imagine the transformative potential of simulation technology a decade ahead, powered by Flexcompute’s pioneering platform.

· Design and implement Systems Design, Distributed Systems and Computer Architecture

· Demonstrated ability in designing architecture for a distributed, low latency and reliable cloud-based application. Develop and maintain hybrid cloud compute and storage solutions.

· Lead integration between HPC and cloud computing, including databases, frontend libraries, microservices, and monoliths.

· Develop a foundational understanding of scientific computing and the role of GPUs in accelerating computing applications.

· Manage the utilization of computing clusters equipped with high-speed interconnects, optimizing for efficiency and performance.

· Lead a team of engineers, fostering a culture of innovation, hand-on, and continuous learning