Senior Software Engineer
South San Francisco
Applications have closed
Simbe Robotics
Top retailers improve store performance and labor efficiency with our AI & robotics suite, proven to give market-leading product availability & price integrity.
This Senior Software Engineer role focuses on developing, optimizing, and maintaining the software that drives high-performance data processing pipelines. The position plays a critical part in supporting computer vision and machine learning (CVML) initiatives, building scalable, efficient solutions for complex, data-driven challenges.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: AWS Azure CI/CD Computer Science Computer Vision Deep Learning Docker Engineering GCP Git Linux Machine Learning Nvidia Jetson Pipelines Python R R&D Scrum Shell scripting Testing
Perks/benefits: Career development
Region:
North America
Country:
United States
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