🛠 Tech Stack

💼 About This Role

You'll develop AI networking communication frameworks and benchmarking tools used in large-scale production environments. You'll contribute to scalable AI networking systems that power training and inference workloads across massive data centers. This role combines software engineering with high-performance computing and AI infrastructure.

🎯 What You'll Do

• Develop AI networking communication frameworks for production environments.
• Build benchmarking tools and performance analysis systems.
• Design automation systems for parameter optimization and configuration tuning.
• Integrate new AI models into benchmarking infrastructures.

📋 Requirements

• Bachelor's or Master's in Computer Science or equivalent experience.
• 5+ years of professional software development experience.
• Strong Linux expertise in command-line and system-level environments.
• Ability to build production-grade tools and frameworks.

✨ Nice to Have

• Experience with AI frameworks such as PyTorch.
• Familiarity with distributed systems and orchestration tools like Slurm or Kubernetes.
• Knowledge of HPC, MPI, InfiniBand, or Ethernet networking.

🎁 Benefits & Perks

• 🌍 Work on world-leading AI infrastructure and next-gen networking technologies.
• 💻 High-impact role influencing performance at scale across global AI systems.
• 🔬 Exposure to cutting-edge GPU, AI, and HPC ecosystems.
• 🤝 Collaborative environment with deep technical expertise across teams.
• 📚 Continuous learning opportunities across AI, distributed systems, and networking.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min