Software Engineer Entry Level

Position Overview: VDURA is a leader in high-performance parallel file systems and distributed storage solutions for AI and HPC environments. We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help develop the next generation of the VDURA Data Platform. This role is ideal for a recent graduate or early-career engineer who is passionate about systems software, distributed computing, AI infrastructure, and large-scale storage technologies. The successful candidate will work alongside experienced architects and senior engineers while contributing to real-world enterprise storage solutions used in demanding AI and HPC deployments. The Software Engineer will gain hands-on experience with distributed systems development, performance optimization, automated testing, cloud technologies, and modern AI-assisted software development practices. Key Responsibilities: Software Development

• Develop, test, debug, and maintain software components within the VDURA Data Platform.
• Contribute to distributed storage services, management tools, datapath functionality, and automation infrastructure.
• Write clean, maintainable, and well-tested code primarily in C, C++, Python, or related technologies.
• Engineering Collaboration
• Work closely with senior engineers, architects, QA, DevOps, and support teams on feature development and issue resolution.
• Participate in code reviews, technical discussions, and team planning activities.
• Learn and apply best practices for scalable software development and systems engineering.
• Testing and Debugging
• Assist with debugging complex software issues across distributed systems environments.
• Contribute to automated test frameworks and continuous integration workflows.
• Support system validation, performance testing, and reliability improvements.
• Performance and Scalability
• Help analyze system performance and identify opportunities for optimization.
• Learn about modern storage and networking technologies including NVMe, RDMA, InfiniBand, and parallel file systems.
• Participate in lab testing and large-scale system validation activities.
• Innovation and Learning
• Utilize AI-based software development tools to improve productivity, learning, debugging, and software quality.
• Stay current with emerging technologies in AI infrastructure, cloud-native systems, distributed storage, and software engineering.
• Continuously expand technical knowledge through mentorship and hands-on development experience.

Qualifications:

• Bachelors degree in Computer Science, Computer Engineering, or a related technical discipline.
• Strong programming skills in C, C++, Python, Java, or similar languages.
• Understanding of operating systems, data structures, algorithms, and networking fundamentals.
• Familiarity with Linux or UNIX-based development environments.
• Strong analytical and problem-solving skills.
• Experience with Git or other version control systems.
• Interest in distributed systems, storage software, cloud computing, AI infrastructure, or systems-level programming.
• Experience using AI-based software development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar technologies is desirable.
• Strong communication skills and willingness to work collaboratively within a team environment.

Preferred Experience:

• Internship, academic project, or open-source experience related to systems software or distributed systems.
• Exposure to Linux system administration or scripting.
• Familiarity with containers, Kubernetes, cloud platforms, or virtualization technologies.
• Experience with automated testing or CI/CD workflows.
• Interest in HPC, AI infrastructure, or large-scale storage systems.

Location: This role is based in: Niwot, CO This is primarily an on-site role to support close collaboration with engineering teams and access to VDURA lab environments. About VDURA: VDURA is transforming data storage and management for the AI era. Our software-defined storage platform delivers the performance, scalability, durability, and simplicity required for the worlds most demanding AI and HPC environments. Our engineering teams work on cutting-edge distributed systems challenges spanning parallel file systems, AI infrastructure, cloud technologies, and next-generation storage architectures.