Job description

Flexcompute is leading the transformation of engineering simulation with our revolutionary ultra-fast simulation technology. Our flagship products, including the industry-leading Computational Fluid Dynamics (CFD) software Flow360 and electromagnetic simulation software Tidy3D, are reshaping how simulations are conducted across diverse sectors. Founded by visionaries from Stanford and MIT and supported by top-tier venture capital firms, we are a rapidly growing team dedicated to breaking boundaries and challenging the norms of the multi-billion-dollar engineering simulation market. Role Overview We are looking for a Backend Software Engineer to help us design and implement scalable solutions that meet the growing demands of our advanced EM simulation platform. The ideal candidate has expertise in high-performance computing (HPC), infrastructure, web API design, and systems design. Additionally, the candidate will be help us enhance our data management, frontend-backend API unification, and cloud integration. Key Responsibilities • Contribute to general software development efforts, such as API unification, simulation data management (e.g., caching, syncing, storage), and scripting improvements. • Collaborate with EM and infrastructure teams to implement simulation-specific solutions, including enhancements to back-end/scheduler integrations and Python front-end functionality. • Improve our task pipelines through an innovative design for a web API in a multi-physical simulation context. • Develop and maintain hybrid cloud compute and storage solutions, integrating on-premise HPC systems with modern cloud platforms. • Optimize and manage high-performance computing clusters equipped with high-speed interconnects. Requirements Education: Bachelor’s degree or higher in computer science or computer engineering. Technical Skills: • Professional experience developing backend systems using Java, Python, and/or C++ • Strong experience with AWS or similar cloud platforms (compute, storage, networking, IAM, infrastructure automation) • Expertise in backend service development and web API architecture • Hands-on experience with containerization and orchestration (Docker, 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 (e.g., Terraform, Ansible, or similar tools) • Familiarity with monitoring, logging, and observability tooling • Understanding of networking fundamentals and backend security best practices Innovative Mindset: Ability to learn quickly, adapt to new challenges, and innovate in a fast-paced startup environment. Bonus Skills: • Experience integrating cloud platforms with HPC environments or large compute clusters • Familiarity with job schedulers (e.g., 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 Example Projects • Architect and deploy Kubernetes-based infrastructure to run 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-prem HPC clusters with AWS compute and storage • Implement monitoring and observability systems to track simulation performance and reliability • Improve platform scalability to support growing user traffic and compute demand • Design secure service architectures, authentication, and licensing systems • Optimize infrastructure utilization across CPU and GPU resources Join Us By joining Flexcompute, you’ll be at the heart of a movement set to redefine the engineering simulation industry. You will play a key role in shaping the future, where our innovations in simulation technology pave the way for groundbreaking advancements. We are committed to fostering an innovative and collaborative culture where boundaries of possibility are re-imagined, driven by creativity, expertise, and a shared vision of transforming the technological landscape. Benefits • Competitive compensation with equity of a fast-growing startup. • Medical, dental, and vision health insurance. • 401(k) Contribution. • Gym allowance. • Friendly, thoughtful, and intelligent coworkers.

Requirements

Must-haves

We are looking for a Backend Software Engineer to help us design and implement scalable solutions that meet the growing demands of our advanced EM simulation platform.
Contribute to general software development efforts, such as API unification, simulation data management (e.g., caching, syncing, storage), and scripting improvements.
Collaborate with EM and infrastructure teams to implement simulation-specific solutions, including enhancements to back-end/scheduler integrations and Python front-end functionality.
Improve our task pipelines through an innovative design for a web API in a multi-physical simulation context.
Develop and maintain hybrid cloud compute and storage solutions, integrating on-premise HPC systems with modern cloud platforms.
Optimize and manage high-performance computing clusters equipped with high-speed interconnects.
Education: 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 (compute, storage, networking, IAM, infrastructure automation)
Expertise in backend service development and web API architecture
Hands-on experience with containerization and orchestration (Docker, 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 (e.g., Terraform, Ansible, or similar tools)
Familiarity with monitoring, logging, and observability tooling
Understanding of networking fundamentals and backend security best practices
Innovative Mindset: 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 (e.g., 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
Example Projects
Architect and deploy Kubernetes-based infrastructure to run distributed simulation workloads

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

apipythonjavaawsdockerkubernetesci/cd

Platform: workable
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)