Responsibilities
- Building and maintaining backend services, APIs, and platform infrastructure
- Developing features for engineering workspaces and collaborative workflows
- Improving scalability, reliability, and performance across cloud systems
- Supporting AI-related infrastructure and intelligent tooling initiatives
- Enhancing developer tooling, automation, and deployment systems
- Contributing to visualization and interactive engineering experiences
- Collaborating across software, infrastructure, and simulation teams
Requirements
- 3 to 6 years of professional software engineering experience
- Strong programming skills in one or more languages such as Python, C++, Rust, Go, Java, or JavaScript
- Experience building backend systems, APIs, or distributed services
- Familiarity with Linux-based development environments and Git workflows
- The ability to independently drive technical projects and collaborate effectively across teams
- Strong problem-solving ability and attention to detail
- A degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field
Nice to Have
- Experience with cloud infrastructure such as AWS, GCP, or Azure
- Familiarity with Docker, Kubernetes, or containerized environments
- Exposure to AI infrastructure, ML systems, or data engineering workflows
- Experience with performance optimization or distributed computing systems
- Interest in scientific computing, GPU acceleration, or simulation platforms
