
11 - 50 employees
🚘 Automotive
🏭 Manufacturing
💰 $22M Series B on 2021-11
Automotive • Manufacturing • Software
Flexcompute is a company focused on accelerating innovation through advanced computing and groundbreaking simulation technology. They offer Flow360, a comprehensive solution for Computational Fluid Dynamics (CFD), and Tidy3D, an Electromagnetic (EM) solver, emphasizing physics-based simulation software. Flexcompute aims to assist industries in optimizing design processes and achieving real-time computational capabilities. Their offerings include educational resources, documentation, and support for Python-based applications, making them a key player in the simulation and computational software space.
🕒 4 days ago
Where this job comes from
Posted on Flexcompute's careers page, not through a job board
First seen by Remote Rocketship 4 days ago
Still open on Flexcompute's site. Checked 7 hours ago.

11 - 50 employees
🚘 Automotive
🏭 Manufacturing
💰 $22M Series B on 2021-11
Automotive • Manufacturing • Software
Flexcompute is a company focused on accelerating innovation through advanced computing and groundbreaking simulation technology. They offer Flow360, a comprehensive solution for Computational Fluid Dynamics (CFD), and Tidy3D, an Electromagnetic (EM) solver, emphasizing physics-based simulation software. Flexcompute aims to assist industries in optimizing design processes and achieving real-time computational capabilities. Their offerings include educational resources, documentation, and support for Python-based applications, making them a key player in the simulation and computational software space.
• Contribute to software development efforts including API unification, simulation data management, caching, syncing, storage, and scripting improvements. • Collaborate with EM and infrastructure teams on simulation-specific solutions. • Enhance back-end and scheduler integrations and Python front-end functionality. • Improve task pipelines through web API design for multi-physical simulation contexts. • Develop and maintain hybrid cloud compute and storage solutions integrating on-premise HPC systems with cloud platforms. • Optimize and manage high-performance computing clusters with high-speed interconnects. • Architect and deploy Kubernetes-based infrastructure for distributed simulation workloads. • Design and implement scalable web APIs for simulation job orchestration and data access. • Build CI/CD pipelines and infrastructure-as-code systems for reproducible deployments. • Develop hybrid cloud solutions connecting on-premise HPC clusters with AWS compute and storage. • Implement monitoring and observability systems for simulation performance and reliability. • Improve platform scalability for growing user traffic and compute demand. • Design secure service architectures, authentication, and licensing systems. • Optimize infrastructure utilization across CPU and GPU resources.
• Bachelor’s degree or higher in computer science or computer engineering. • Professional experience developing backend systems using Java, Python, and/or C++. • Strong experience with AWS or similar cloud platforms, including compute, storage, networking, IAM, and infrastructure automation. • Expertise in backend service development and web API architecture. • Hands-on experience with containerization and orchestration using Docker and Kubernetes. • Experience designing and operating distributed systems in production environments. • Strong Linux systems knowledge and infrastructure troubleshooting skills. • Experience with infrastructure automation and configuration management, such as Terraform or Ansible. • Familiarity with monitoring, logging, and observability tooling. • Understanding of networking fundamentals and backend security best practices. • Ability to learn quickly, adapt to new challenges, and innovate in a fast-paced startup environment. • Experience integrating cloud platforms with HPC environments or large compute clusters. • Familiarity with job schedulers such as Slurm, distributed compute frameworks, or large-scale data pipelines. • Experience supporting scientific computing or simulation platforms. • Knowledge of GPU infrastructure and resource scheduling. • Experience building developer platforms or internal infrastructure tooling.
• Competitive compensation with equity of a fast-growing startup. • Remote within Spain, on Spanish working hours with about six hours of overlap with our Boston team. • Annual travel support for team gatherings in Boston. • Learning sponsorship, an AI tools budget and a fitness benefit. • Friendly, thoughtful, and intelligent coworkers.
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