The Role
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.
Responsibilities
- 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.
This role offers an opportunity to work at the forefront of computer vision and machine learning, addressing challenging, impactful projects within a collaborative, future-focused environment. With the chance to make significant contributions and tackle meaningful technical problems, this position is ideal for professionals looking to deepen their expertise in CVML and data processing.
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The Company
What We Do
Automating Retail
Simbe Robotics builds automation solutions for the retail industry. Simbe’s first product, Tally, is the world’s first fully autonomous shelf auditing and analytics solution; one that provides retailers unprecedented visibility and insight into the state of merchandise in their stores.
Tally works in concert with retail associates by arming them with information to ensure the store’s products are always stocked, in the right place, and displaying the correct price tag.
The company is headquartered in San Francisco, CA.
For more information, please visit www.simberobotics.com or follow the company at @simberobotics
