Senior CVML Software Engineer, Simbe
C++ & Python
$90-150k
Salary dependent on experience and location
Autonomous shelf auditing and analytics solution
Open for applications
Autonomous shelf auditing and analytics solution
21-100 employees
Open for applications
$90-150k
Salary dependent on experience and location
21-100 employees
Company mission
To leverage AI and robotics in order to elevate the performance of retailers with real-time insights into inventory and operations.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- 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
- 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
- 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
Our take
Inventory management has never been the highlight of working in retail - it's a task that often feels like a chore. However, given its nature as a large-scale data collection and management endeavour, it's undeniably ripe for automation. Something Simbe Robotics is taking advantage of through its autonomous shelf auditing and analytics solution.
Distinguishing itself from competitors through its focus on front-of-store operations. Its automation solution enables retail associates to maintain optimal stocking levels, ensure product placement accuracy, and display correct price tags, all while enhancing the overall shopping experience.
Its accomplishments over the past year, including servicing top global retailers and processing billions of shelf photos and product analyses, showcase the company's commitment to delivering real value in the retail sector. Along with recent funding under its belt, Simbe is poised to expand its presence in the retail industry, sharing its vision to enhance the retail experience through AI and robotics with more partners worldwide.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2024
$50m
SERIES C
Jul 2023
$28m
SERIES B
Total funding: $104m
Company benefits
- Comprehensive health plans
- Culture of learning
- Flexible time off
Company HQ
Oyster Point, South San Francisco, CA
Leadership
Brad Bogolea
(CEO)Previously Co-Founded i-conserve where they served as CEO. They then worked at Greenbox Technology and Silver Spring Networks as Product Manager before co-founding Simbe Robotics in 2013.
Mirza A. Shah
(CTO)Graduated from Penn State University with an M.S. in Computer Science and Engineering. They then went on to found the robotics company Emoto Robotics.
Jeff Gee
(CDO)Graduated from the Academy of Art University with an MFA in Industrial Design. Previously an Industrial Designer at Suitable Technologies and Willow Garage.
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