Senior Cloud & AI Hands-on Software Engineer

Description

Job Description

looking for an experienced hands-on software architect with expertise in Cloud, AI, and Distributed Systems to join our AI-accelerated Cloud Storage group. The team designs and develops cutting-edge cloud technologies that power next-generation AI applications, optimizing performance, scalability, and efficiency.

The role involves both high-level system understanding and low-level grasp of the connection between storage and AI, to push the boundaries of cloud infrastructure for AI workloads. If you want to be part of something bigger, if you are a team player with excellent communication skills and the motivation to revolutionize AI-driven cloud technologies, you’re welcome on board!

Requirements

• MSc/PhD in Computer Engineering / Computer Science or equivalent

• 5+ years of experience in software development in Linux environments

• Experience designing complex distributed systems

• Deep system understanding and ability toenhance and optimize existing code

• Proficiency in analyzing academic papers and studying AI/cloud technological trends

• Strong technical leadership, excellent interpersonal skills, and ability to work in a global team

• Fast learner, highly organized, detail-oriented, and able to manage multiple deadlines in a fast-paced environment

Skills

• Expertise in AI/ML infrastructure, memory-tiering, caching, or high-performance computing

• Proficiency in C++ and Python

• Experience with cloud platforms (AWS, Google Cloud, Azure)

• Knowledge of AI/ML frameworks (PyTorch, TensorFlow, vLLM) and performance optimization

Nice to Have

• Experience in storage/memory domains (as applied to AI workloads)

• Advanced Python programming with ML/AI library implementations

• Experience with LLM (Large Language Model) and multimodal AI training pipelines

• Background in benchmarking, performance tuning, and optimizing Storage or AI applications

What Will You Be Doing?

• Research, design, and innovate cloud-based AI acceleration technologies

• Analyze AI application performance, identify bottlenecks, and optimize decision-making mechanisms

• Collaborate with other engineers to develop AI optimizations, Storage backend and related POCs.

• Investigate global trends in AI infrastructure and cloud computing to shape long-term architecture

• Collaborate with global teams on next-generation cloud solutions for AI