Are you excited about building high-performance robotic systems that can perceive, learn, and act intelligently? The Vulcan team is creating first of a premier robotic workcells.

We are seeking software engineers to help with our initial robotic prototypes and workcell deployments. This includes building computer vision systems, ML and AI models, robotic control and motion planning, and process management. It also includes end-to-end ownership of decision explanation, fault detection, monitoring, A/B testing, large scale model training, simulation, hardware integration, and more. This work spans prototypes in the lab as well as wide-deployment systems. As a software engineer, you will help plan the roadmap, implement, test, and monitor services in our robotic fleet. You will also have the opportunity to learn and be a part of an interdisciplinary team building all parts of the robot hardware and software stack.


Key job responsibilities
In this role you will leverage your engineering background and expertise in ML to lead developing MLOps infra for Amazon Robotics using machine training techniques. On a day-to-day basis, you will:
- Lead the design and implementation of a stable and efficient training infrastructure that scales to a large model size and hardware such as GPU.
- Collaborate with other talented applied scientists and engineers to develop an improved training infrastructure that accelerates innovation.
- Quickly learn innovative technologies and algorithms in the field of CVML

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!