The Cornell Lab of Ornithology is a globally recognized leader in technology, data management, and large-scale citizen science supporting birds and biodiversity conservation. We curate more than a petabyte of digital assets, one billion bird sightings, and leverage innovative big data analysis tools and machine learning to produce web applications and services to empower a global community of bird and nature enthusiasts, researchers, conservationists, and educators. We rely on a team of high-performance engineers to help navigate intriguing technical challenges to provide data-driven services, learning platforms, and science communications supporting biodiversity and conservation communities in all corners of the globe. This role will develop technical infrastructure and services that support numerous user-facing applications, including eBird, Merlin, Macaulay Library, Birds of the World, and BirdCast.  The Opportunity Are you a tech-savvy problem solver who loves...

We are looking for an aspiring and motivated Senior Software Engineer with expertise in AWS infrastructure to join the Park Lab (https://compbio.hms.harvard.edu) in the Department of Biomedical Informatics at Harvard Medical School. This software engineer will help build platforms that manage a large amount of DNA sequencing data for advancing scientific research and their clinical application by scientists worldwide. The Park Lab has developed the Data Portal for the SMaHT (Somatic Mosaicism across Human Tissues, https://data.smaht.org) consortium, an NIH-funded project to characterize somatic mutations in human tissues, launched in 2023. This platform builds on the 4D Nucleome Data Portal (https://data.4dnucleome.org/) we have built (2015-2025). These data portals are scalable web-based applications for analysis, annotation, visualization, and reporting of genomic data, based on an AWS back-end. We are looking for an experienced senior software engineer who wants:...

We are looking for a Staff Software Engineer - Data Science Platform. At NVIDIA, we pride ourselves on data-driven decision-making, and the data science team is at the heart of this initiative. We are looking for an excellent Software engineer with extensive data platform engineering experience for our data science platform supporting NVIDIA’s cloud platform services. Our data science platform serves as the basis for advanced real time data analytics, streaming, data lake, accelerated data processing and ML/AI training for NVIDIA’s cloud services. What you’ll be doing: They design and deliver essential, high-performance services and libraries. Build streaming data pipelines for collecting & processing data from multiple data sources: from the point of ingestion to useful insights Design and build data Lakehouse architecture for our customers Partner with our other engineering and business teams to integrate your amazing innovations and...