Job Description
About the Job
We are looking for passionate, skilled interns to join our team—and to actively contribute to the development and deployment of extraordinary construction robots. The ideal candidate should be self-motivated, capable of working autonomously and in small teams, and should have a strong desire to solve exciting, challenging, and applied problems.
At Gravis, we engineer solutions at the nexus of hardware and software every day. Your role would likely explore one or more of the following areas (based on experience and interest):
About the Team
The Platform Team is responsible for smoothly orchestrating the software at Gravis. We build the observability, profiling, and infrastructure that let engineers understand and optimize software performance across our entire development fleet, from onboard machines to the cloud services coordinating them.
We partner with teams across the company to investigate issues, eliminate bottlenecks, and establish performance best practices. By strengthening core onboard components and providing tools to quickly detect, diagnose, and resolve regressions, we give the rest of Gravis a solid foundation for running our products at scale and the confidence to ship faster.
About the Job
We are looking for passionate, skilled interns to join our team—and to actively contribute to the development and deployment of extraordinary construction robots. The ideal candidate should be self-motivated, capable of working autonomously and in small teams, and should have a strong desire to solve exciting, challenging, and applied problems.
At Gravis, we engineer solutions at the nexus of hardware and software every day. Your role would likely explore one or more of the following areas (based on experience and interest):
About the Team
The Platform Team is responsible for smoothly orchestrating the software at Gravis. We build the observability, profiling, and infrastructure that let engineers understand and optimize software performance across our entire development fleet, from onboard machines to the cloud services coordinating them.
We partner with teams across the company to investigate issues, eliminate bottlenecks, and establish performance best practices. By strengthening core onboard components and providing tools to quickly detect, diagnose, and resolve regressions, we give the rest of Gravis a solid foundation for running our products at scale and the confidence to ship faster.