Software Engineer Entry Level

Software Engineer - Entry Level VDURA Niwot, CO Job Details Full-time 17 hours ago Qualifications Data structures Algorithms Bachelor's degree

Full Job Description 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:

Bachelor's 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 world's 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.