Senior Software Engineer

Responsibilites

• Build and Optimize the CVML Software Stack: Maintain, expand, and refine our software stack to meet high standards for performance, quality, and extensibility.
• Profile and Improve Performance: Identify bottlenecks in existing code and implement performance improvements essential for processing large datasets.
• Re-architect Legacy Code: Transform legacy code into clean, maintainable, and extensible structures that align with industry best practices.
• Manage Infrastructure and Automation: Take ownership of build processes, continuous integration, and delivery pipelines to optimize reliability and speed in deployments.
• Enhance Test Coverage and Quality: Strengthen test strategies to improve reliability, functionality, and maintainability across codebases.
• Support Deep Learning Development: Enable deep learning workflows, including automating training processes, managing model versioning, and ensuring traceability.
• Develop High-Performance Code: Write efficient, lower-level code (e.g., in C++) and create seamless Python interfaces for team accessibility.
• Build Tools for R&D: Develop both web-based and native tools that simplify workflows and empower R&D efforts.

Requirements

• Educational Background: A BS or MS in Computer Science or a related field is recommended but not required.
• Experience: 5+ years in software engineering, with a focus on performance optimization and high-performance computing.
• Programming Skills: Advanced proficiency in both C++ and Python, with a disciplined approach to coding practices.
• Scripting Proficiency: Strong experience with shell scripting, especially in Bash and Python.
• Source Control: Proficiency in Git and collaborative source control practices.
• Linux Expertise: Extensive hands-on experience with Debian-based Linux distributions, such as Ubuntu.
• Familiarity with Modern Development Practices: Knowledge of CI/CD processes, Scrum methodologies, and automated testing.

Preferred Qualifications

• Preferred Qualifications
• Experience with Python C++ extension packaging.
• Knowledge of Docker containerization.
• Familiarity with the Nvidia Jetson platform.
• Exposure to cloud computing platforms, such as GCP, AWS, or Azure.