Job description

Job DescriptionJob DescriptionAbout the Company Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups and AI researchers to drive breakthroughs in AI. The company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers. Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration. The Opportunity We're seeking a Solutions Architect to join our client's dynamic team. This role offers a unique chance to shape the adoption of AI technology and work with cutting-edge cloud and AI infrastructure. As a trusted advisor, you'll help clients leverage GPU-powered cloud solutions to optimize their AI and machine learning workflows. What You'll Do • Serve as a trusted technical advisor to clients on GPU cloud technologies • Conduct PoCs, workshops, and training sessions to educate clients • Develop tailored solution architectures based on client requirements • Design and document Infrastructure as Code solutions • Optimize client pipeline performance, scalability and resource utilization • Act as the primary expert on customer scenarios for Product, Technical support, and Marketing teams. What You Bring • At least 5 years of experience as a Cloud Solutions Architect, System/Network Engineer, Developer, or similar technical role focused on cloud computing • Strong hands-on experience with Infrastructure as Code and configuration management tools (Terraform, Ansible), Kubernetes, and Python coding skills • Solid understanding of GPU computing practices for ML training and inference workloads, including GPU software stack components (CUDA, OpenCL) • Ideally, experience with HPC/ML orchestration frameworks (Slurm, Kubeflow) and deep learning frameworks (TensorFlow, PyTorch) • Knowledge of cloud ML tools from industry leaders (NVIDIA, AWS, Azure, Google) • Bachelor's degree in a relevant field (advanced degree is a plus) • Excellent communication skills Key Attributes for Success • Passion for AI and transformative technologies • Results-driven mindset and problem-solver mentality • Adaptability and ability to thrive in a fast-paced startup environment • Comfortable working with an international team and diverse client base Why Join? • Competitive compensation: $140,000-$150,000 per year plus quarterly bonuses • Full medical benefits: 100% coverage for health, vision, and dental insurance • Stock options plan • 401(k) match program • PTO and paid holidays • Flexible remote work environment • Startup culture with stability: excitement and innovation of a startup backed by the resources of an established company • Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon) • Be part of a team that operates one of the most powerful commercially available supercomputers • Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings Interviewing Process • Level 1 - Interview with the Talent Acquisition Lead (General fit. Q&A) • Level 2 - Interview with the VP of Sales and Global Sales Director (Skills assessment) • Level 3 - Interview with the CRO (Final) • Reference and Background Checks: conducted after successful interviews • Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of , , , , , , marital status, ancestry, physical or mental , genetic information, veteran status, , or expression, , or any other characteristic protected by applicable federal, state or local law. Compensation Range: $140K - $150K

Requirements