AI/Edge Compute Engineer

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet is working on the next generation small satellite bus that will host a high resolution optical imaging payload (Pelican) and a hyperspectral payload (Carbon Mapper). We are seeking an AI/Edge Compute engineer to help develop onboard compute and analytics effort on the next generation satellites. . You will work with various teams to finalize the system requirements, develop functional specifications, and down-select the processors. You will work independently and with others on the development of onboard processing and machine learning algorithms for various Earth Observation applications.. You will collaborate with electrical engineers, camera engineers, firmware engineers, data pipeline, and analytics engineers to build and iterate on the solution. This is a full-time, hybrid role which will require you to work from our San Francisco HQ 3 days per week. Impact You'll Own: Develop onboard computer vision and machine learning models that enable real time segmentation, feature detection, object recognition, and geolocation. Develop pre-processing of raw imagery onboard the satellite to make them useable by the machine learning algorithms Collaborate with other space systems and software engineering teams to implement deep-learning-based object detection systems on pre-processed imagery for identifying, characterizing, and classifying objects Explore and develop new methods for improving detection performance and improving the runtime of inference targeting the NVIDIA Jetson platform. Work with internal customers to develop onboard processing and machine learning pipelines for various use cases and classification tasks Help to architect and develop the data pipeline and platform supporting onboard processing Hardware/software co-development of edge computing solutions for Planet’s next generation spacecraft Own and drive performance metrics (e.g. latency, memory, bandwidth, power) What You Bring: 4+ years developing algorithms and solving problems pertaining to image processing, computer vision, object detection, machine learning Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or other relevant degree Experience in software development, especially for computationally constrained environments Extensive experience programming in Python and/or C++ with computer vision libraries Understanding of version control (eg git) and CI tools Proficient in GPU-based computing frameworks (OpenCL/CUDA/TensorFlow), including working with NVIDIA's TensorRT Understanding of embedded and high efficiency software architectures Experience designing low latency, highly performant code Experience in hardware and software co-design What Makes You Stand Out: Experience with machine learning o ... (truncated, view full listing at source)