Senior Software Engineer - AI Middleware

Cornelis Networks delivers the worlds 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 worlds 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 a highly experienced Senior Software Engineer to design develop and upstream-enable Cornelis Networks AI communication middleware. This role focuses on distributed AI workloads and enablingoptimizing collective communication libraries e.g. NCCLRCCL over Cornelis Networks interconnects.

Key Responsibilities

Design and implement performance-critical features for CCL enablement on Cornelis Networks fabrics. Optimize distributed training performance across multi-node multi-GPU configurations. Improve GPU communication paths including GPU-direct transfers IPC and CPUGPU synchronization. Profile distributed AI workloads and identify bottlenecks across the software and hardware stack. Tune AI frameworks such as PyTorch Distributed TensorFlowXLA JAX DeepSpeed and Megatron-LM. Develop benchmarks and microbenchmarks aligned with real model performance. Contribute upstream to AI communication and distributed training projects. Participate in design reviews code reviews CI and long-term maintenance. Prototype and validate Ultra Ethernet capabilities for AI collective communication. Provide technical input for deployment considerations and performance validation. Collaborate with kerneldriver switch performance and systems teams. Support advanced escalations by analyzing traces and providing robust fixes.

Minimum Qualifications

8 years of experience in high-performance systems programming in CC on Linux. Strong experience with GPU communication stacks including CUDAROCm and NCCLRCCL. Ability to optimize distributed training performance using profiling and tracing. Understanding of collective communication concepts and topology awareness. Experience delivering production-quality code. Open-source contributions in relevant areas.

Preferred Qualifications

Experience with AI frameworks such as PyTorch Distributed DeepSpeed and Megatron-LM. Familiarity with libfabricOFI UCX and RDMA concepts. Experience with RoCEv2 and Ultra Ethernet. Experience building cluster-scale performance test infrastructure.

Location

This is a remote position for employees residing within the United States.

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 youll 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 401k 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.