🛠 Tech Stack

💼 About This Role

You will analyze and optimize performance of large-scale AI and HPC workloads on cutting-edge distributed infrastructures. Your insights will directly influence performance optimization strategies for next-generation AI supercomputing platforms. This is a highly analytical and research-driven role at the intersection of hardware and software.

🎯 What You'll Do

• Profile and benchmark large-scale AI workloads across distributed GPU/CPU clusters
• Investigate communication patterns and networking behavior to identify bottlenecks
• Design and implement performance analysis tools and simulation-based approaches
• Collaborate with hardware/software teams to deliver optimization recommendations

📋 Requirements

• Bachelor's degree in Computer Science or related field
• 6+ years experience in high-performance networking environments
• Strong background in performance analysis and system optimization
• Hands-on experience with NVIDIA GPUs, CUDA, and deep learning frameworks

✨ Nice to Have

• Deep expertise in LLM benchmarking
• Experience with congestion control algorithms
• Knowledge of CUDA/NCCL internals and system architecture

🎁 Benefits & Perks

• 💰 Competitive compensation package with performance-based incentives
• 🏖️ Flexible working arrangements across Switzerland and remote locations
• 📚 Opportunity to work on cutting-edge AI infrastructure

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3On-site or final round· 60 min