Senior Software Engineer – AI/HPC Middleware

Posted 4 Days Ago
Hiring Remotely in New York, NY, USA
In-Office or Remote
Senior level
Artificial Intelligence • Big Data • Cloud • Hardware
The Role
Design, develop, and upstream-enable AI/HPC communication middleware (MPI/SHMEM, NCCL/RCCL). Integrate middleware with transports (libfabric/UCX/verbs), optimize performance, collaborate across kernel/driver and switch teams, analyze performance traces, reproduce and fix customer issues, and contribute to open-source projects.
Summary Generated by Built In

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 contribute to the design, development, and upstream enablement of Cornelis Networks' AI/HPC communication middleware. This role focuses on enabling and optimizing HPC middleware (MPI/SHMEM) and AI middleware (collective communication libraries / CCL, e.g., NCCL/RCCL and related stacks) over Cornelis Networks' interconnects. You will help drive performance, correctness, and deployability across real customer workloads by collaborating across the stack (drivers/kernel, switches, systems, and application/framework teams) and by contributing upstream to key open-source projects. 

Key Responsibilities

  • AI/HPC Middleware Enablement & Optimization: Implement and help optimize features for HPC middleware (HPI and SHMEM) and AI middleware (CCL stacks ie: NCCL/RCCL and related collective communication libraries)
  • Transport & Integration: Assist in integrating middleware capabilities with underlying transports and provider layers (ie: libfabric / OFI, UCX, verbs-like semantics where applicable)
  • Upstream & Open-Source Leadership: Prepare and submit upstream contributions across MPI/SHMEM projects, CCL ecosystems, and related components
  • Cross-Stack Collaboration & Performance Validation: Collaborate with kernel/driver and switch teams to help deliver end-to-end performance aligned to the Cornelis product roadmap
  • Customer & Field Impact: Help analyze performance traces and reproduce customer issues, and assist in translating findings into fixes.

Minimum Qualifications

  • 6+ years of experience in systems programming in C/C++ on Linux; Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). Master's or Doctorate a plus. 
  • Hands-on experience with HPC middleware internals (Open MPI, MPICH, MVAPICH, and/or SHMEM) or optimizing collective communications for AI, including NCCL/RCCL, CUDA/ROCm) and/or other CCL stacks. 
  • Demonstrated ability to deliver low-latency/high-throughput communication paths and to diagnose performance issues using profiling/tracing tools.
  • Working knowledge of transport/integration layers such as OFI/libfabric, UCX, verbs-style concepts. 
  • Solid background in RDMA concepts and performance tuning. 
  • Experience contributing to open-source projects. 

Preferred Qualifications

  • Prior experience developing or maintaining libfabric providers. 
  • Familiarity with Ultra Ethernet (UEC/UET) specifications. 
  • Experience with RoCEv2, congestion control, and/or Ethernet-based RDMA deployments. 
  • Experience with cluster-scale benchmarking, profiling, and optimization. 
  • Background with HPC fabrics, such as Omni-Path. 

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.

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. 

Skills Required

  • 6+ years systems programming experience in C/C++ on Linux
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  • Hands-on experience with HPC middleware internals (Open MPI, MPICH, MVAPICH) or SHMEM
  • Experience optimizing collective communications for AI (NCCL, RCCL) and familiarity with CUDA or ROCm
  • Ability to deliver low-latency/high-throughput communication paths and diagnose performance using profiling/tracing tools
  • Working knowledge of transport/integration layers such as OFI/libfabric, UCX, verbs-style concepts
  • Solid background in RDMA concepts and performance tuning
  • Experience contributing to open-source projects
  • Prior experience developing or maintaining libfabric providers
  • Familiarity with Ultra Ethernet (UEC/UET) specifications
  • Experience with RoCEv2, congestion control, and Ethernet-based RDMA deployments
  • Experience with cluster-scale benchmarking, profiling, and optimization
  • Background with HPC fabrics such as Omni-Path
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
239 Employees
Year Founded: 2020

What We Do

Cornelis Networks is a technology leader specializing in purpose-built, high-performance fabrics that accelerate Artificial Intelligence (AI), High-Performance Computing (HPC), and High-Performance Data Analytics (HPDA) workloads. By providing the world's first lossless and congestion-free scale-out networks, the company unlocks application performance at any scale, serving a diverse range of clients including commercial businesses, scientific and academic institutions, and government organizations globally.

Similar Jobs

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Senior Technical Claims Specialist, Construction Complex

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Remote or Hybrid
4 Locations
40000 Employees
83K-157K Annually

Identity Digital Logo Identity Digital

Staff Devops Engineer

Consumer Web • eCommerce • Internet of Things
Remote or Hybrid
United States
240 Employees
175K-220K Annually

Zscaler Logo Zscaler

Senior Manager, Sales Engineering - Majors, NY/NJ

Cloud • Information Technology • Security • Software • Cybersecurity
Easy Apply
Remote or Hybrid
3 Locations
8697 Employees
176K-251K Annually

MetLife Logo MetLife

Senior Consultant

Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Remote or Hybrid
United States
43000 Employees
121K-149K Annually

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
New York, New York
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account