Senior Software Engineer - AI/ML in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
We've raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world's largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We're passionate about solving our customers' most complex data challenges to accelerate intelligent innovation and business value. As a Senior/Staff Kernel Engineer at Weka, your primary responsibility will be collaborating with other team members on our high-performance filesystem solution and releasing our kernel driver, which is written in C on top of Linux, as part of the Weka filesystem product.
This enables the Weka system to provide applications with local filesystem semantics and performance while providing centrally-managed, shareable, and resilient storage.
Our entire kernel team proudly delivers high-quality kernel drivers and you will have the opportunity to quickly become an integral contributor.
Design and develop core product features in a complex software system with a focus on Linux kernel and OS infrastructure layers
Locate performance bottlenecks within Linux and/or its driver or other components, and suggest & implement enhancements to meet target performance goals
10+ years of hands-on experience in Linux kernel development and debugging
- Master of low-level C development in Linux kernel, with vast experience in performance-sensitive code and a solid understanding of the VFS, page cache & file system concepts
- Familiarity with kernel development methodologies and kernel structure, as well as experience in developing kernel modules
- Top-notch experience in the Linux Kernel Driver model & development
- Broad knowledge and understanding in Linux internals, kernel subsystems (Memory Management, IO, Storage, Networking), and kernel crash and core analysis skills
- Knowledge of IO tools and performance benchmarks using standard tools
- A highly motivated and independent engineer with a positive attitude, a creative and open mind, and fluency in English.
A background in working with the Linux kernel community
Experience contributing/up-streaming/maintaining kernel code
Knowledge of storage subsystems, storage stack, and protocols (NVMe, NFS, Samba, filesystems), along with development experience with enterprise-grade storage solutions
Experience hacking complex open-source projects
We take full ownership, always–even when things don't go as planned. We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
Studies have shown that women and people of color may be less likely to apply for jobs if they don't meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn't match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.
We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.