Software Engineer, Hardware Product Catalog

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• Experience developing, building, and deploying solutions and working with business teams to translate business requirements into technical solutions.
• Experience working in one or more of the following domains (e.g., supply chain, customer products or customer sales).
• Experience working with one or more Generative AI models.
  
  

About The Job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

This is a Software Engineer role in the Hardware Product Catalog (PCat) team to own and enhance an AI-based software catalog that offers internal Google stakeholders the ability to author and curate a catalog of machines and racks suitable for forecasting and ordering compute, storage and ML capacity.

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.

The US base salary range for this full-time position is $118,000-$170,000 + 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

• Collaborate with stakeholders through design and code reviews to ensure standard procedures amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency.).
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Develop, build, and deploy solutions and work with business teams to translate business requirements into technical solutions that include ML pipelines implementing regression techniques.
• Deliver scalable systems, process and data solutions to invent, build and operate the world's leading data centers.
• Identify, assess, estimate, and solve business issues, where analysis of situations/scenarios or data requires an evaluation of variable factors including AI model accuracy.
  
  
  

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.