Top Software Engineer Jobs

The Principal Software Engineer will lead the Customer Experience application development group, shape the technical strategy, and drive product-oriented initiatives to enhance customer experiences and operational excellence. This role involves coaching engineers, establishing best practices, and influencing industry standards through innovative mobility technology.

The Senior Software Engineer, Backend at Metropolis will architect, develop, and maintain core backend services for a frictionless, checkout-free parking ecosystem. Key responsibilities include system design, optimization, collaboration with hardware and machine learning teams, and mentoring junior engineers while maintaining code quality.

The Senior Software Engineer will design, implement, and maintain backend services for a parking platform, lead the development lifecycle, mentor engineers, and ensure scalability and availability of systems while working closely with partners.

Develop and implement innovative pricing algorithms using machine learning and optimization techniques to solve complex pricing challenges. Engage in the entire ML development pipeline, from data acquisition to model deployment, while collaborating with cross-functional teams and effectively communicating results to diverse audiences.

As a Senior Software Engineer, Backend, you will design and develop backend services in Java and Scala, ensuring robustness and scalability. Collaborate with Hardware and ML teams for integration, optimize performance, mentor junior engineers, and maintain high code quality standards.

As a Senior Software Engineer at Metropolis, you'll design and implement backend services for the parking platform. You'll be involved in the entire development lifecycle, mentor other engineers, and ensure high availability and scalability of systems. You will also engage in technical discussions and be responsible for quality assurance practices like automation testing.

The Senior Machine Learning Engineer will develop and optimize machine learning and computer vision software for edge-deployed systems, collaborating within the Machine Learning Team on the complete software development pipeline from analysis to deployment.