Application Engineer - HPC and AI at the Edge
NVIDIAFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should possess a Bachelor's degree in Computer Science or a related field, with over 6 years of experience in building services utilizing cloud-native infrastructure and tooling. Experience with deploying and maintaining bare-metal Kubernetes using tools like K3s, RKE2, or TalOS is required, alongside proficiency in Infrastructure as Code/GitOps tools such as Terraform, Ansible, Helm, and Kustomize. A proven track record of building, releasing, and supporting highly available, consistently performant services is essential, along with knowledge of hardware implications for on-premise compute and experience in platform optimization, especially resource management and cluster tuning in constrained environments. The ideal candidate will also have a passion for programming, photography, remote sensing, earth sciences, and geography, with a willingness to learn about geospatial data.
The Edge Compute Engineer will build and deploy software within customer environments for a next-generation imagery processing system, owning deployments, service orchestration, and documentation for cross-platform stakeholders. They will be responsible for scaling architecture while ensuring service availability, improving reliability and scalability by resolving edge cases, studying failure modes, and writing tests. This role includes participating in on-call rotations to ensure operational excellence and collaborating cross-functionally with Product, Engineering Management, and engineering teams on system design and roadmapping for scalable and robust solutions.
High-resolution satellite imagery subscription service
Planet captures high-resolution satellite images of the Earth using a fleet of small satellites called Doves. These satellites provide near-daily, detailed imagery across eight different bands, allowing clients to monitor environmental changes, manage resources, plan urban developments, and respond to disasters. The company operates on a subscription-based model, giving clients access to a vast library of images and data analytics tools. This approach ensures consistent revenue as clients require ongoing updates. Planet differentiates itself by offering customized solutions and educational resources through Planet School, helping users effectively utilize their platform. The goal of Planet is to be a leader in the geospatial intelligence market, providing valuable insights through frequent and detailed Earth observation.