Solutions Architect, AI Cloud

Emploi pas sur LinkedIn

🕒 il y a 7 jours

🏄 California – Distant

🏄 California – Remote

💵 $180 000 - $300 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

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Lavendo

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🎯 Recrutement

👥 RH Tech

🤝 B2B

Recruitment • HR Tech • B2B

Lavendo est une société de recrutement de référence dans le domaine du go-to-market (GTM) et des ventes technologiques, basée dans la Silicon Valley. L'entreprise se spécialise dans la constitution d'équipes de vente gagnantes pour les startups et les entreprises, en fournissant des candidats performants qui correspondent à la culture et aux besoins de l'entreprise. Lavendo propose une gamme de services de recrutement sans paiement initial, garantissant un recrutement rapide et une forte rétention des candidats placés. Avec un tarif de recrutement fixe et transparent, Lavendo répond à une variété de rôles de vente, des postes débutants aux postes exécutifs. La société s'engage à un processus de recrutement rigoureux, à un soutien continu et à offrir de la valeur grâce à un solide réseau de professionnels de la technologie.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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