Forward Deployed Engineer

🕒 il y a 10 jours

🏄 California – Distant

🏄 California – Remote

💵 $100 000 - $180 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👷🏻‍♀️ Ingénieur

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Runpod

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2022

🤖 Intelligence artificielle

☁️ SaaS

🤝 B2B

💰 €20 000 000 Seed en 2024-06

Artificial Intelligence • SaaS • B2B

Runpod est une plateforme cloud offrant des solutions informatiques GPU à la demande et une infrastructure gérée spécifiquement conçue pour le développement et le déploiement de l'IA. Elle propose des "Pods" GPU répartis dans 31 régions mondiales, des points d'extrémité GPU serverless pour une inférence à faible latence, des clusters GPU multi-nœuds pour l'entraînement distribué, ainsi qu'un hub pour le déploiement de modèles open source et de modèles prédéfinis. Runpod met l'accent sur un démarrage rapide (démarrage à froid en moins de 200 ms), une mise à l'échelle automatique de zéro à des milliers d'unités de travail, le support pour plus de 30 configurations GPU, et des outils pour le cycle de vie complet de l'IA, depuis l'expérimentation jusqu'à la production, ciblant les développeurs et les équipes d'IA en entreprise.

Description

• Participate in sales meetings with customers, explain Runpod’s specific technologies, provide architectural recommendations, and build proof-of-concept solutions to support onboarding for potential high-spending customers. • Troubleshoot and resolve critical or complex technical issues escalated by customers, including those related to configuration, performance, functionality, compatibility, or code errors in Runpod’s products or services. • Utilize various tools and methods, such as code analysis, scripting for testing, log analysis and remote access, to identify root causes and deliver solutions or workarounds. • Communicate effectively with customers and internal teams, including engineering, sales, supply and product management teams, to ensure customer satisfaction and integrate valuable feedback. • Assist the support team in troubleshooting and resolving escalated technical tickets, collaborate with the engineering team to provide workarounds or bug fixes, and work with the infrastructure team to address GPU server-related issues. • Contribute to product development and testing efforts by relaying feedback from customers and the support team to the engineering team, helping to shape product improvements. • Create and maintain technical documentation, such as knowledge base articles, FAQs, guides, and manuals, while also developing and delivering training sessions, webinars, and demos for customers, partners, and internal teams.

🎯 Exigences

• Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field) or equivalent professional experience. • 3+ years of professional experience in software development. • Strong problem-solving skills and ability to work in a collaborative environment. • Familiarity with applied AI use cases such as inference, fine-tuning, LLM-based applications, or agentic systems. • Excellent communication skills and attention to detail. • Located in US in the PST region • Successful completion of a background check.

🏖️ Avantages

• Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. • Flexible PTO- take the time you need to recharge • $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace