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Google · 4 hours ago

Customer Engineer IV, AI Infrastructure, Google Public Sector

Reston, VA, USA

Full-time

Hybrid

Senior Level, Lead/Staff

$186K/yr - $261K/yr

10+ years exp

Google is a leading technology company, and they are seeking a Customer Engineer IV for their AI Infrastructure team in the Public Sector. This role involves facilitating customer AI initiatives, guiding solution design, and managing technical relationships with customer ML research teams to enhance their use of Google Cloud products.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Accelerate customer time-to-value on the largest AI Infrastructure and HPC workloads in Google Public Sector

Build a trusted advisory relationship with customer architects, engineering leadership, and research teams. Identify customer priorities, technical objections and design strategies focused on Google AI Infrastructure and HPC ecosystem to deliver business value and resolve blockers

Provide domain expertise around hardware accelerators (GPU/TPU), prevailing ML Frameworks (PyTorch, Keras, JAX), and model building techniques

Make recommendations on GPU/TPU hardware, framework selection, benchmarks, and model building required to successfully implement a complete solution

Manage the holistic research engineering relationship with customers by collaborating with specialists, product management, technical teams, and more

Qualification

Cloud native architectureDeep learning frameworksAI acceleratorsAI software development life cycleAI related toolingTechnical advisoryCross-functional collaborationProblem-solving

Required

Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information

Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience

10 years of experience with cloud native architecture in a customer-facing or support role

Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs

Ability to travel up to 20% of the time as required

Must possess an Active Top Secret/SCI US Government Security Clearance with polygraph