Customer Engineer, AI Infrastructure, Google Public Sector

Google; Reston (VA); On-site; USD 152,000 - 222,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement benefits

PTO 20 days

Job summary

Google is hiring a Customer Engineer for AI Infrastructure in the Public Sector. You will partner with technical Sales to differentiate Google Cloud and serve as the primary technical partner, engaging in technical conversations, troubleshooting, demos, and architecture planning to solve customer business issues.

You will focus on AI infrastructure, HPC workloads, and cross-pillar cloud solutions, balancing sales with technical engagement and delivery planning.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of cloud native architecture experience in a customer-facing or support role.
• Experience engaging with technical stakeholders or executives.

Responsibilities

• Accelerate customer time-to-value on AI Infra and HPC workloads.
• Build trusted advisory relationships with customer teams and drive strategy.
• Provide domain expertise around hardware accelerators and ML frameworks.
• Advise on GPU/TPU hardware, framework selection, benchmarks and model building.
• Manage research engineering relationships with customers and cross-functional teams.

Skills

Cloud architecture

Stakeholder mgmt

ML model development

Security clearance TS/SCI

Travel up to 20%

Public Sector experience

Keras

PyTorch

TensorFlow

JAX

GPU/TPU hardware

Education

Bachelor's degree or equivalent

Tools

None

Job description

Customer Engineer, AI Infrastructure, Google Public Sector

Company: Google

Locations: Reston, VA, USA; Washington D.C., DC, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Washington D.C., DC, USA.

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.

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.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.