Role OverviewWe 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.
RequirementsEducation: 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
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.
