Qualifications
As a Senior Kernel Engineer at WEKA, you will play a crucial role in enhancing our high-performance filesystem solution by collaborating with our talented team to develop our kernel driver written in C for Linux, which is an integral component of the Weka filesystem product. Your responsibilities will include:Designing and implementing core product features focused on Linux kernel and OS infrastructure layers. Providing architectural guidance and innovative ideas for our core kernel driver and associated interfaces. Identifying performance bottlenecks within Linux and its drivers, and proposing and implementing enhancements to achieve performance targets. Above all, we encourage you to assume nothing—constantly review and improve our methodologies to enhance productivity.
About the job
Join WEKA, where we are revolutionizing the enterprise data stack for the era of reasoning. Our flagship product, NeuralMesh by WEKA, is setting the benchmark for agentic AI data infrastructure through a cloud and AI-native software solution that seamlessly integrates into any environment. Our technology transforms traditional data silos into efficient data pipelines that optimize GPU utilization, accelerate AI model training and inference, and enhance other compute-intensive workloads while reducing energy consumption.
As a pre-IPO, rapidly growing company, WEKA has successfully secured $375M in funding from esteemed venture capitalists and strategic investors. We partner with some of the world's leading enterprises and research organizations, including 12 of the Fortune 50, helping them achieve faster and more sustainable discoveries, insights, and business outcomes. If you're passionate about tackling complex data challenges and driving intelligent innovation, we welcome you to embark on this exciting journey with us.
About WEKA.io
WEKA is at the forefront of redefining enterprise data architecture, offering innovative solutions that cater to the demands of AI-driven applications. Our team is dedicated to solving complex data challenges for leading enterprises, ensuring they can harness the power of their data efficiently and sustainably.