Backend Software Engineer, HD Maps

Mach9 is building the operating system for cities. We’re deploying sensors to understand how cities are evolving and changing over time.

We’re building a team of the top technologists, thinkers, and hackers looking to define the future of cities to improve the use of the world’s limited resources and prevent infrastructure failures before they happen.

Mach9 graduated from Y Combinator’s Summer 2021 class and spun out from the Robotics Institute at Carnegie Mellon. We leverage advances in robotics technology to solve today’s hardest world problems.

The Role: As a mapping infrastructure engineer, you will lead the design and development of databases for large-scale maps. You will work closely with expert engineers with a wide range of skills to creatively prototype new solutions and scale to production systems. You will work closely with our customers from a variety of backgrounds to build intuitive interfaces for complex, high-dimensional data. In this role, you will help us build the tools needed to build applications to make cities safer, smarter, and greener.

Responsibilities:

• Drive technical development for processing large amounts of mapping data.
• Architect API for accessing and querying relevant information from geospatial maps.
• Develop robust and scalable backend services.
• Work effectively with multi-disciplinary teams of engineers, product managers, and domain experts.
• Conduct design reviews, code reviews and unit tests to guarantee the quality of our products.
• Ability to take on an ownership role and operate independently.

Requirements:

• Bachelors/Masters in Computer Science, or equivalent practical experience.
• Strong general programming skills to build complex service logic.
• Experience with cloud infrastructure like AWS.
• Experience with one or more programming languages including but not limited to: C/C++, Python.

Bonus Skills:

• Experience with building geospatial and mapping applications.
• Familiarity with localization and mapping.
• General knowledge of robotics perception.