AI/ML Application Performance Engineer

February 8

🔔 Pennsylvania – Remote

Although this job is listed in Pennsylvania, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Application Engineer

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Cornelis Networks

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Cornelis Networks is a leading provider of intelligent, scalable, high-performance interconnects designed for AI applications. The company specializes in delivering end-to-end purpose-built high-performance fabrics to commercial, scientific, academic, and government organizations. Cornelis Networks’ solutions are aimed at enhancing performance, scalability, and efficiency across hyperscale, cloud AI, and on-premises AI/HPC environments. Their offerings are known for scalable architecture, high bandwidth solutions, and universal compatibility with accelerators and GPUs. Originating as an Intel spin-off, the company is positioned to challenge existing technologies like InfiniBand and Ethernet, providing advanced interconnects that power modern AI infrastructure.

51 - 200 employees

🤖 Artificial Intelligence

🔧 Hardware

🏢 Enterprise

💰 $29M Series B on 2022-11

📋 Description

• Deliver technical expertise in AI and Machine Learning (ML) for various AI/ML use cases. • Perform benchmarking and optimization of relevant applications with HPC hardware. • Develop, execute, and maintain software for AI/ML applications and benchmarks. • Assist in the development of supporting libraries and middleware. • Collaborate with sales and marketing to deliver proof points and performance benchmarking comparisons. • Analyze performance data to identify limitations and improve techniques. • Present research findings to stakeholders. • Collaborate with cross-functional teams to promote Cornelis products' advantages.

🎯 Requirements

• Knowledge of HPC resource management and job scheduling systems (e.g., SLURM, PBS). • Hands-on experience with analyzing and optimizing networks using a range of profiling tools such as NVIDIA Nsight Systems. • Experience with AI frameworks like NeMo, PyTorch Lightning, Megatron-LM, and DeepSpeed. • Bachelor’s degree (Master’s preferred) in computer science, engineering, math, or related technical discipline. • 3-5 years of experience running HPC and/or AI/ML applications on clusters. • Ability to set up, run, and analyze AI/ML application benchmarks. • Proficient understanding in message passing, scaling optimization, and identifying performance bottlenecks. • Ability to modify AI/ML models and distribute training across networks. • Experience with Message Passing Interface (MPI) and compiling software with various compilers (Intel, gcc, etc.). • Extensive Python and shell script experience. • Experience with HPC network architectures such as Omni-Path, InfiniBand, or Ethernet. • Experience operating in UNIX or Linux computing environment. • Excellent written and verbal communication skills.

🏖️ Benefits

• Competitive compensation package including equity, cash, and incentives. • Health and retirement benefits. • Access to medical, dental, and vision coverage. • Disability and life insurance. • Dependent care flexible spending account. • Accidental injury insurance and pet insurance. • Generous paid holidays. • 401(k) with company match. • Open Time Off (OTO) for regular full-time exempt employees. • Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.