Jobs and Careers

Sr. Datapath Software Developer – DAOS

United States; United States, United Statesfull_timeVerifiedPosted 9 Nov 2025

💰 $180,000/yr($160,000/yr – $180,000/yr)

About the role

About VDURA VDURA is revolutionizing data storage and management to fuel discovery in the AI era by building the Data Platform that industry and research pioneers need to get the most out of their data. The VDURA Data Platform elevates data infrastructure with unprecedented levels of performance, durability, and simplicity to accelerate cutting-edge AI and high-performance computing (HPC) applications. As an HPC pioneer, our highly differentiated product offerings have been deployed by Fortune 500 commercial customers as well as leading government and research agencies in over 50 countries, including Boeing, P&G, NIO Electric Vehicles, TGS, National Institute of Health, Siemens, Harvard Medical School, and NASA. Whether it’s building the next Dreamliner, winning a Formula One race, creating mind-bending visual effects, curing diseases, or modeling climate change, the world’s leading companies and research institutions trust VDURA to power their most innovative HPC and AI projects. Position Overview: VDURA is a renowned leader in parallel file systems, specializing in distributed storage solutions for the AI and high-performance computing market. We are seeking a highly experienced Senior Datapath Software Developer with deep expertise in C/C++ and Python, and a proven track record in contributing to and leading open-source community development, specifically within DAOS (Distributed Asynchronous Object Storage) or similar distributed storage systems. Experience with DevOps tools and methodologies is highly desirable for this role. Key Responsibilities:

DAOS Community Leadership: Lead and actively contribute to the development of DAOS open-source projects. Engage with the DAOS community to shape the direction of the project, drive code contributions, and foster collaboration.

Subsystem Development: Own the design, development, and optimization of key subsystems within the DAOS storage architecture, driving efficiency and performance across the platform.

C/C++ and Python Expertise: Apply deep knowledge in C/C++ and Python programming to contribute scalable, high-performance code to the DAOS project.

Collaboration in Open Source: Work closely with engineers and developers in the open-source community, ensuring alignment between community-driven and internal development efforts.

DevOps Practices: Integrate DevOps tools and processes to streamline development, testing, and deployment, ensuring continuous integration and delivery in the open-source environment.

Code Contributions & Reviews: Regularly contribute code to the DAOS repository, perform thorough code reviews, and ensure adherence to best practices in open-source development.

Performance Tuning: Analyze system bottlenecks and implement optimizations for high-throughput and low-latency data access in large-scale DAOS deployments.

Mentorship and Community Growth: Mentor junior contributors in the community and guide newcomers in contributing to DAOS. Help grow and maintain an inclusive, healthy developer community.

Problem Solving: Provide solutions to complex technical challenges faced by the DAOS community and customers leveraging DAOS for their high-performance computing and AI workloads.

Qualifications: