19 Al Ml Evaluation Engineer jobs in Atlanta

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 2 years of experience in program management.
• Experience with data center infrastructure like power, networking, and cooling.
• Experience with AutoCAD or Revit.

Preferred qualifications:

• 2 years of experience managing cross-functional or cross-team projects.
• Experience with colocation capacity planning, including the use and automation of planning and optimization tools.
• Experience with new product introduction (NPI) process and product life cycle (PLC) as related to hardware products for machine learning and high-performance computing.
• Excellent program management skills, with the ability to coordinate deployments and roadmaps across multiple stakeholders.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

In this role, you will help the team plan the future of Google’s ML and accelerator deployments. As the Technical Program Manager, you will help with new product enablement focused on the deployability of new products and the server floor designs required to facilitate them.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Support the delivery of projects, managing data center constraints (e.g., power, space, cooling, operations, and network) in colocation data center deployments.
• Create and manage physical layouts and standards, including the deployment impact and feasibility of NPIs. Define and manage tooling requirements for planning and delivery.
• Own and support relationships between cross-functional teams, track deployment workflows with partner teams, and raise issues to ensure on-time follow-through.
• Influence the development of new products (NPI) and colocation server floor design decisions, focused particularly on upcoming fleetwide transitions in the ML and accelerators space.
• Drive the development of new tools and decision-making frameworks for optimizing fleet life-cycle.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.