Customer Engineer, AI Infrastructure, Google Public Sector

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

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

support role.

* Experience engaging with, or presenting to, technical stakeholders or

executive leaders.

* Experience with machine learning (ML) model development and deployment.

* Active US Government Top Secret/Sensitive Compartmentalized Information

(TS/SCI) security clearance with polygraph.

* Ability to travel up to 20% of the time.

PREFERRED QUALIFICATIONS:

* Experience with prevailing ML development frameworks (e.g., Keras, PyTorch,

Tensorflow, JAX).

* Experience with both GPU and TPU based infrastructure.

* Familiarity with prevailing AI related tooling (Slurm, vLLM, Ray, Vertex,

K8s, etc.).

* Familiarity across the AI software development life cycle (data processing,

model building, training, evaluation, deployment).

* Ability to deliver results and work cross-functionally to position and

orchestrate a solution consisting of multiple products.

ABOUT THE JOB:

As a Customer Engineer (CE), you will partner with technical Sales teams to

differentiate Google Cloud to our customers. You will serve as the customer’s

primary technical partner and trusted advisor, engaging in technical-led

conversations to understand their business issues. You will troubleshoot

technical questions and roadblocks, engage in proofs of concepts and demos, and

use your expertise to architect cross-pillar cloud solutions that solve these

business issues. You will drive the technical win and define the delivery and

consumption plans. You will use your presentation skills to engage with

technical and business leaders, and persuasively present practical and useful

solutions on Google Cloud. You will have excellent technical, communication and

organizational skills.

You will focus on identifying, pursuing, and winning new business workloads and

driving pen testing within existing ones. You will have a breadth of technical

expertise, spanning infrastructure modernization, application modernization,

data analytics and more. You will blend sales expertise, market knowledge and

direct technical engagement to show the value of the Google Cloud portfolio.

Google Cloud accelerates every organization’s ability to digitally transform its

business and industry. We deliver enterprise-grade solutions that leverage

Google’s cutting-edge technology, and tools that help developers build more

sustainably. Customers in more than 200 countries and territories turn to Google

Cloud as their trusted partner to enable growth and solve their most critical

business problems.Individual pay is determined by factors including job-related

skills, experience, and relevant education or training.

US: $152000 - $222000 (USD) + 42.86% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Accelerate customer time-to-value on the largest AI Infrastructure and High

Performance Computing (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 Graphics Processing Unit/Tensor Processing Unit

(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.