Staff Software Engineer, Lightmatter

• If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders
• BS and 12+ years of experience or MS and 8+ years of experience; degree in Computer Science, Electrical Engineering, or related field
• Expert level Python, knowledge of web frameworks such as FastAPI, Flask, Django; strong understanding of API design principles and best practices
• Experience with containerization and orchestration technologies such as Docker and Docker Compose
• Experience with one or more databases such as MongoDB, PostgreSQL, Redis, time-series databases
• Familiarity with testing frameworks such as pytest and integration testing, performance testing tools
• Experience with CI/CD tools such as GitHub Actions/Runners and Infrastructure as Code tools such as Ansible
• Experience with hardware integration or embedded systems; interfacing with BMCs, FPGAs, temperature sensors, thermal management, power management systems
• Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws

Desirable

• In this role, you will lead the development of a comprehensive High Temperature Operating Life (HTOL) Test Software system
• Your work will involve designing, implementing, and maintaining a scalable multi-chassis testing platform that performs automated stress and performance testing with real-time monitoring and comprehensive data collection capabilities
• System Design & Development: Architect, build, and maintain scalable architecture for a multi-chassis HTOL testing system
• Orchestration: Develop containerized applications for deployment at scale using Python-based services for chassis coordination and management
• Hardware Monitoring & Management: Create hardware abstraction layers and develop APIs that represent hardware systems, providing essential capabilities for monitoring and management of those systems
• Manage Data: Develop data collection pipelines handling sensor data and performance metrics
• Deploy and Update Software: Create automated deployment and testing pipelines using CI/CD best practices
• Collaboration with Front-End Teams: Work closely with the frontend team to ensure seamless integration of backend APIs with applications
• Testing & Documentation: Write automated tests to monitor the reliability and performance of the system; maintain clear and concise documentation for troubleshooting
• Performance and Reliability: Continuously monitor and optimize performance to reduce response times and improve system scalability; ensure uptime in production environments; establish capacity planning procedures