Cornelis Networks

Senior Software Engineer - AI Middleware

Cornelis Networks$120K — $160K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

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.

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.

Benefits

  • Comprehensive health benefits including medical, dental, and vision coverage.
  • 401(k) with company match.
  • Generous paid holidays and Open Time Off (OTO) for regular full-time exempt employees.
  • Access to disability and life insurance, as well as pet insurance.
  • Flexible spending account for dependent care.
Full Job Description
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 enabling/optimizing collective communication libraries (e.g., NCCL/RCCL) 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 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.

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.

About Cornelis Networks

Cornelis Networks is a technology company that provides software solutions for the financial industry. The company's products include a trading platform for cryptocurrencies and a risk management system for banks and other financial institutions. Cornelis Networks was founded in 2018 and is headquartered in Amsterdam, Netherlands.
Learn more about Cornelis Networks
Size
10 employees
Industry
Founded
2018

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