Senior Software Engineer – AI Middleware

Cornelis Networks; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Equity, cash, and incentives

Health coverage

401(k) with company match

Open Time Off

Paid holidays

Job summary

Cornelis Networks is seeking experienced engineers in Austin, Texas, to work on cutting-edge networking solutions for AI and HPC. The role focuses on performance-critical feature implementation, distributed training optimization, and profiling workloads. Candidates should possess over 8 years of experience in high-performance systems programming with strong knowledge of GPU communication stacks. The position is remote for U.S. residents and offers a competitive compensation package, including health and retirement benefits.

Qualifications

• 8+ years of experience in high-performance systems programming in C/C++ on Linux.
• Strong experience with GPU communication stacks including CUDA/ROCm and NCCL/RCCL.
• Ability to optimize distributed training performance using profiling and tracing.
• Experience delivering production-quality code.

Responsibilities

• Design and implement performance-critical features for CCL enablement.
• Optimize distributed training performance across multi-node, multi-GPU configurations.
• Improve GPU communication paths including GPU-direct transfers.
• Profile distributed AI workloads and identify bottlenecks.

Skills

High-performance systems programming in C/C++

GPU communication stacks including CUDA/ROCm

Optimizing distributed training performance

Open-source contributions

Tools

AI frameworks such as PyTorch Distributed

CUDA

NCCL

Job description

Overview

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.

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 CPU/GPU synchronization.
• Profile distributed AI workloads and identify bottlenecks across the software and hardware stack.
• Tune AI frameworks such as PyTorch Distributed, TensorFlow/XLA, 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 kernel/driver, 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 C/C++ on Linux.
• Strong experience with GPU communication stacks including CUDA/ROCm and NCCL/RCCL.
• 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 libfabric/OFI, 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.

Compensation and Benefits

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 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.

EEO and Application

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.