• 
  Design, develop, test, and maintain robust, secure, and scalable software solutions for advanced S/TEM applications.

• Develop backend services using Python, contributing to cloud-native, microservices-based architectures deployed on Docker and Kubernetes.

• Write and maintain high-quality unit tests, integration tests, and system-level component tests to ensure software reliability and performance.

• Participate in code reviews, promoting software quality, maintainability, and adherence to engineering best practices.

• Diagnose, troubleshoot, and resolve software defects, performance bottlenecks, and operational issues.

• Collaborate with DevOps engineers to automate deployment, monitoring, and maintenance of applications and services.

• Contribute to software optimization initiatives, improving system performance, scalability, and maintainability.

• Collaborate with application engineers and domain experts to collect, curate, and annotate image datasets for machine learning and computer vision applications.

• Develop, train, evaluate, and integrate machine learning and image-processing models into production software solutions.

• Partner with AI research teams to evaluate, adopt, and operationalize emerging machine learning technologies and models.

How will you get here?

The ideal candidate for this position enjoys working in a multi-disciplinary and multi-cultural environment to address software challenges. If you enjoy the development of software solutions on top of high-performance systems, this is an excellent opportunity. The successful candidate will possess the following combination of education and experience:

Education:

• Bachelor’s or master’s degree in computer science, computer engineering, or a related field, with expertise in software development.

Experience:

• 
  8+ years of Strong software development experience in Python; experience with C# and C++ is a plus.

• Solid understanding of software engineering principles, including object-oriented design, design patterns, testing, code reviews, and maintainable software architecture.

• Working knowledge of machine learning and deep learning frameworks such as PyTorchs, TensorFlow, or equivalent, with the ability to train, evaluate, and integrate models into software applications.

• Experience developing backend services, APIs, and distributed applications in Linux environments.

• Familiarity with modern computer vision and image analysis architectures, including segmentation, detection, and foundation models such as FCN, U-Net, Mask R-CNN, YOLO, SAM, or similar neural network approaches.

• Experience applying AI-assisted development tools to improve productivity, code quality, and delivery speed.

• Proficiency with REST APIs and inter-process communication technologies such as gRPC, XML-RPC, message-based systems, and other IPC mechanisms.

• Experience designing, implementing, and deploying microservices in containerized environments using Docker and Kubernetes.

• Experience working with relational databases and SQL for application development and data management.

• Knowledge of concurrent and parallel programming, including multithreading, asynchronous processing, and performance optimization.

• Experience writing and maintaining unit tests, integration tests, and system-level tests as part of a modern CI/CD development workflow.