AI Cloud Solutions Engineer I

Google; Addison (TX); Vor Ort; USD 104.000 - 150.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) with company match

PTO 20 days per year

Sick leave 40 hours/year (69 Seattle)

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Zusammenfassung

Google Cloud is seeking a Practice Customer Engineer (AI Infrastructure) to partner with technical Sales in incubating, piloting, and deploying AI accelerators (TPU/GPU) for startups and large enterprises, helping customers innovate on Google Cloud.

You will gather business and technical requirements, write code for prototypes and demos, and present practical solutions that prove Google Cloud’s value to executives and technical stakeholders.

Qualifikationen

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 4 years of experience with cloud infrastructure.
• Experience building and operationalizing machine learning models.
• Experience in delivering technical presentations, leading discovery and planning sessions.

Aufgaben

• Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their cloud strategy via migration paths, integration strategies, and architecture.
• Demonstrate how Google Cloud is differentiated, highlighting accelerators through proofs-of-concept, features, and benchmarking.
• Build repeatable assets to enable customers and internal teams.
• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise requirements.
• Travel to customer sites and events as needed.

Kenntnisse

Cloud infrastructure

Machine learning models

Technical presentations

Executive communication

Discovery sessions

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

TensorFlow profiler

PyTorch profiler

Tensorboard

Kubernetes

Containerization

Jobbeschreibung

Google Cloud is seeking a Practice Customer Engineer (AI Infrastructure) to partner with technical Sales in incubating, piloting, and deploying AI accelerators (TPU/GPU) for startups and large enterprises, helping customers innovate on Google Cloud.

You will gather business and technical requirements, write code for prototypes and demos, and present practical solutions that prove Google Cloud’s value to executives and technical stakeholders.