Solutions Architect – AI Cloud Infrastructure
Job Description:
• Serve as a trusted technical advisor to customers throughout the full pre-sales and onboarding lifecycle
• Lead PoCs, architectural workshops, presentations, and training sessions on GPU cloud technologies and best practices
• Collaborate with customers to deeply understand their business requirements and translate them into scalable solution architectures
• Design and document Infrastructure as Code solutions, reference architectures, and technical how-to guides in collaboration with support engineers and technical writers
• Help customers optimize ML pipeline performance, throughput, and scalability for efficient utilization of cloud resources
• Act as a cross-functional technical expert, bridging product, technical support, and marketing teams around customer needs
• Represent the company at external events including hackathons, conferences, and webinars
Requirements:
• 5–10+ years of experience as a Cloud Solutions Architect, Systems/Network Engineer, Developer, or similar technical role focused on cloud computing
• Strong hands-on experience with IaC and configuration management tools (Terraform/Ansible preferred), Kubernetes, and Python
• Solid understanding of GPU computing for ML training and inference workloads, including the GPU software stack (drivers, CUDA, OpenCL, etc.)
• Excellent communication skills — able to explain complex technical concepts clearly to both engineering and business audiences
• Customer-centric mindset with a track record of building trusted advisor relationships
• Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
• Nice to Have: Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Familiarity with the cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
Benefits:
• Competitive compensation: $225,000 – $315,000 OTE + equity, based on experience, skills, and location
• 100% company-paid medical, dental, and vision insurance for employees and families
• 401(k) with up to 4% company match and immediate vesting
• 20 weeks paid parental leave for primary caregivers; 12 weeks for secondary caregivers
• Remote work reimbursement up to $85/month for mobile and internet
• Company-paid short-term, long-term disability, and life insurance
• Flexible remote work environment
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• Serve as a trusted technical advisor to customers throughout the full pre-sales and onboarding lifecycle
• Lead PoCs, architectural workshops, presentations, and training sessions on GPU cloud technologies and best practices
• Collaborate with customers to deeply understand their business requirements and translate them into scalable solution architectures
• Design and document Infrastructure as Code solutions, reference architectures, and technical how-to guides in collaboration with support engineers and technical writers
• Help customers optimize ML pipeline performance, throughput, and scalability for efficient utilization of cloud resources
• Act as a cross-functional technical expert, bridging product, technical support, and marketing teams around customer needs
• Represent the company at external events including hackathons, conferences, and webinars
Requirements:
• 5–10+ years of experience as a Cloud Solutions Architect, Systems/Network Engineer, Developer, or similar technical role focused on cloud computing
• Strong hands-on experience with IaC and configuration management tools (Terraform/Ansible preferred), Kubernetes, and Python
• Solid understanding of GPU computing for ML training and inference workloads, including the GPU software stack (drivers, CUDA, OpenCL, etc.)
• Excellent communication skills — able to explain complex technical concepts clearly to both engineering and business audiences
• Customer-centric mindset with a track record of building trusted advisor relationships
• Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
• Nice to Have: Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Familiarity with the cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
Benefits:
• Competitive compensation: $225,000 – $315,000 OTE + equity, based on experience, skills, and location
• 100% company-paid medical, dental, and vision insurance for employees and families
• 401(k) with up to 4% company match and immediate vesting
• 20 weeks paid parental leave for primary caregivers; 12 weeks for secondary caregivers
• Remote work reimbursement up to $85/month for mobile and internet
• Company-paid short-term, long-term disability, and life insurance
• Flexible remote work environment
Apply tot his job
Apply To this Job