Solutions Architect, AI Cloud

Job not on LinkedIn

🕒 3 days ago

🏄 California – Remote

🏄 California – Remote

💵 $180k - $300k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Lavendo

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

Lavendo is a premier go-to-market (GTM) and tech sales recruiting firm based in Silicon Valley. The company specializes in building winning sales teams for startups and enterprises by providing top-performing candidates that fit the company's culture and needs. Lavendo offers a range of recruiting services with no upfront payment, promising a quick time-to-hire and a high retention rate for placed candidates. With a flat, transparent recruiting fee, Lavendo caters to a variety of sales roles from entry-level to executive positions. The firm is committed to a thorough recruitment process, ongoing support, and providing value through a strong network of tech professionals.

📋 Description

• Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements • Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices • Collaborate with clients to understand their business requirements and develop solution architectures • Design and document Infrastructure as Code solutions, technical documentation, and how-tos • Help customers optimize pipeline performance and scalability • Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams • Assist with marketing efforts during events such as hackathons, conferences, and webinars

🎯 Requirements

• 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 IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python • Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL) • Solid understanding of the cloud ML tools landscape from industry leaders • Legal authorization to work in the U.S. on a full-time basis without visa sponsorship

🏖️ Benefits

• Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location) • Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families • 401(k) plan with a 4% match program • Stock options plan • Flexible remote work environment • 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers • Up to $85/month for mobile and internet • Opportunity to work with cutting-edge AI and cloud technologies • Contribute to sustainable AI infrastructure with energy-efficient data centers • Be part of a team that operates one of the most powerful commercially available supercomputers