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An innovative company is seeking skilled software engineers to contribute to next-generation HPC fabric development. This role involves writing optimized C code for high-performance communication services and supporting open-source projects. Ideal candidates will have extensive experience in fabric, network, or systems programming, and will thrive in a collaborative environment. The position offers the flexibility of remote work while providing opportunities for in-person collaboration. Join a dynamic team dedicated to pushing the boundaries of technology and making a significant impact in the HPC sector.
Job Description
Salary:
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.
Cornelis Networks is hiring software engineers with deep experience writing optimized C code, preferably for fabrics or networks. Your role will be to facilitate the delivery of CN5000, our next-generation HPC fabric, by contributing to our open-source libfabric provider, Omni-Path Express (OPX). Ideal candidates will have written C code for high performance, optimal efficiency, and low memory footprint, and will be comfortable contributing to an open-source, mission-critical project.
Location: This role fully supports remote work for employees residing within the United States, with the flexibility to travel to our Chesterbrook Corporate Center located in Wayne, PA occasionally for in-person collaboration.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
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 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 leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, national origin, gender, gender identity, sexual orientation, disability, or expression, age, religion, 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.