The Role:Take on a lead role in designing and building the core services and infrastructure that will power the next generation of autonomous construction equipment. From fleet management to autonomous task orchestration and machine coordination- you'll work with a world class engineering team to build and design the core infrastructure that powers our machine interfaces, workflows, and services.
Also, you get to drive 100,000 lb excavators.
What You'll Do:- Own the design, architecture, implementation and iteration of 0-to-1 services and infrastructure to support autonomous operations and distributed fleet management
- Develop data intensive services for machine operators to visualize and monitor robotics systems
- Partner closely with a full stack team (from Frontend, to ML and Robotics) to design technical solutions efficiently, be comfortable with rapid prototyping and experimentation
- Build tooling to streamline processes such as autonomous testing, model deployments, and in-the-field fleet management
- Establish our core backend frameworks, patterns, and infrastructure
Required Qualifications:- 6+ years of professional experience owning the design, architecture and implementation of backends to highly complex, business critical applications
- Expertise in running and maintaining high-uptime services: observability, monitoring, and performance tuning
- Small startup experience: rapid prototyping and building from the ground up
- Capability to design and implement application architectures from first principles with modern cloud technologies
Preferred Qualifications:- Some experience building with complex geospatial tooling (e.g. GIS, robotics, construction tech, command & control interfaces)
- Experience dealing with infra at the edge: low latency SLAs in dynamic bandwidth environments (LTE, IoT, mobile)
- Experience working in AWS
Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.
