Sr. Solution Architect

Join us at the forefront of AI innovation. We're redefining what's possible with GPU-powered, datacenter-scale infrastructure-and we're looking for a Senior Solution Architect to help lead the charge.

In this high-impact role, you will architect next-generation AI platforms that power cutting-edge machine learning and deep learning workloads across a rapidly growing Cloud Service Provider ecosystem. You'll shape how compute, networking, and storage converge at scale-directly influencing product direction, engineering strategy, and customer success.

If you're energized by solving complex, systems-level challenges and want your work to drive real-world AI breakthroughs, this is where you belong.

What You'll Do

• Architect end-to-end AI infrastructure solutions at the rack and datacenter level, integrating GPU compute, high-performance networking, and scalable storage
• Define and implement deployment frameworks, tooling, and methodologies for AI cluster bring-up, performance optimization, and lifecycle management
• Drive innovation across hardware and software to enhance performance, scalability, manageability, and reliability of AI platforms
• Partner cross-functionally with engineering, product, and customers to deliver world-class, production-ready AI solutions
• Influence solution strategy through hands-on design, benchmarking, and real-world customer engagement

What You Bring

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• 8+ years building and scaling datacenter systems (server, networking, storage, or performance engineering)
• Strong programming skills (Python, C/C++, Go, or similar) and systems-level thinking
• Working knowledge of machine learning / deep learning concepts and modern frameworks (e.g., PyTorch, LangChain, Autogen)
• Proven ability to operate in fast-paced, ambiguous environments and deliver impactful solutions

Preferred Qualifications

• PhD in Computer Science, Engineering, or related discipline
• Experience designing and deploying AI infrastructure in production environments
• Deep understanding of the AI hardware/software stack (GPUs, CPUs, networking, ML runtimes and libraries)
• Track record of innovation, research, or publications in relevant domains
• Strong communication and leadership skills with the ability to influence across teams

Why This Role

• Build at scale: Design infrastructure powering next-gen AI workloads
• Own impact: Directly influence product direction and customer outcomes
• Innovate daily: Work on complex challenges at the intersection of hardware, software, and AI
• Grow fast: Be part of a team shaping the future of AI infrastructure