Middleware Remote Jobs in Texas (NOW HIRING)

At Cornelis we're building the future of AI and HPC networking with an AI-first approach to silicon and software development. We're seeking engineers who are energized by working on cutting-edge ASIC design and distributed software systems, and who are motivated to push the boundaries on how AI can transform everything from chip architecture to system performance at scale.

Cornelis Networks delivers the world's highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world's most demanding computational challenges with our next-generation networking solutions.

We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.

We are seeking an experienced Senior Software Engineer to design, develop, and optimize middleware for storage applications on CN platforms. This role focuses on improving performance, scalability, and reliability for customer storage environments and enabling storage software to run effectively over Cornelis Networks solutions.
The ideal candidate has strong experience in C/C++ on Linux, performance-focused systems software, and storage technologies.

Key Responsibilities

• Own the design and development of middleware for storage applications on CN platforms, with a focus on performance, scalability, and production readiness.
• Work with customer-relevant storage technologies (Lustre, WEKA, BeeGFS, DAOS, etc.) to improve integration, resolve performance issues, and enable strong end-to-end behavior in distributed environments.
• Analyze storage workloads, reproduce issues, develop benchmarks, and deliver fixes or enhancements based on real customer use cases and measured system behavior.
• Collaborate across kernel/driver, firmware, fabric management and performance teams to support product development, ecosystem enablement, and advanced customer escalations.
• Participate in design reviews, code reviews, CI, and long-term maintenance.
• Contribute upstream open-source storage software projects where appropriate.
• Operate as a self-motivated "owner," taking full responsibility for features from initial ideation through to remote deployment and maintenance.
• Execute with precision in a fast-paced culture, balancing the need for rapid shipping with the long-term stability required for networking & storage infrastructure
  

Minimum Qualifications

• Experience in high-performance systems programming in C/C++ on Linux.
• Experience developing, debugging, or optimizing storage middleware or related high-performance software.
• Familiarity with storage technologies such as Lustre, WEKA, BeeGFS, DAOS, or similar distributed storage platforms.
• Experience analyzing system stability and performance, identifying bottlenecks, and delivering production-quality fixes and improvements.
• Strong collaboration skills and the ability to work across software, hardware, and customer-facing engineering teams.
  

Preferred Qualifications

• Experience with distributed storage environments at cluster scale.
• Experience contributing to open-source software or working in upstream-facing engineering environments.
• Familiarity with performance testing, benchmarking, and tracing tools.
• Experience supporting customer deployments or handling complex escalations.
• AI-First Engineering: Demonstrate a "proven AI-first" mindset by integrating advanced AI coding assistants and LLMs into the daily software development lifecycle to 10x output.
• Technological Passion, Stay at the bleeding edge of AI research, proactively identifying opportunities to apply new LLM capabilities to networking hardware and software stacks.
  

Location:This is a remote position for employees residing in the United States.

At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.

In addition to your base pay, you'll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.

Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.