Artificial Intelligence TN Sponsorship Jobs in Nebraska

INTRODUCTION

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austell, GA, USA; Papillion, NE, USA; Omaha, NE, USA; New Albany, OH, USA; The Dalles, OR, USA; Las Vegas, Nevada, USA; Moncks Corner, SC 29461, USA; Pryor Creek, OK 74361, USA; Bridgeport, AL, USA.

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.
• Experiencing managing the hardware New Product Introduction (NPI) life-cycle.

PREFERRED QUALIFICATIONS:

• 2 years of experience managing cross-functional or cross-team projects.
• Experience with New Product Introduction (NPI) process and Product life-cycle (PLC) as related to hardware products for machine learning and high-performance computing.
• Experience managing data center constraints with the knowledge of data center physical layouts, infrastructure, and standards (power, space, cooling, operations and network).
• Experience with data center, networking and machine deployments, including in-depth understanding of deployment process and the ability to drive tools and automation for continuous process improvement.
• Excellent program management skills with the ability to co-ordinate 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 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.

As a part of the team, you will be focused on aligning new products and technical infrastructure interface roadmaps to enable fast, predictable and optimized deployment of heterogeneous machines for all product areas across Google’s Data Center and third-party fleet. You will ensure that every machine tech is optimally deployable across the fleet with touchless space, power, network, and cooling planning and accomplish this by influencing products (optimize utilization of tech infrastructure), influencing ecosystems (tools and processes for predictability), and shaping infrastructure (new server floor designs). Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Manage project delivery while addressing data center constraints (e.g., power, space, cooling, operations, and network) in colocation data center deployments.
• Design and manage physical layouts, standards, and tooling requirements including assessment of deployment impact and feasibility of NPIs for planning and delivery.
• Build 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.