Software Developer Job USA 17 as Software Engineer, AI Infrastructure, Google Public Sector: Hello Job Seekers, Today we bring you a new Job for Software Engineer, AI Infrastructure, Google Public Sector Job 17 USA Location. Google Careers is hiring for Software Engineer, AI Infrastructure, Google Public Sector at Multiple location USA. Please find the summary and Software Engineer, AI Infrastructure, Google Public Sector Job USA description below:
Highlight of Software Engineer Job USA 17:
Organization: Google
Job Type: Software Developer
Job Position: Software Engineer, AI Infrastructure, Google Public Sector
Job Location: Multiple
Job Description for Software Engineer, AI Infrastructure, Google Public Sector:
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience building and operationalizing machine learning models, and 2 years of experience in technical leadership.
- Active US Government Top Secret/Sensitive Compartmentalized Information (TS/SCI) Security Clearance.
Preferred qualifications:
- Experience training and fine tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators.
- Experience with running MLPerf benchmarks.
- Experience with performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, TensorBoard).
- Experience with distributed training and optimizing performance versus costs.
- Experience designing/architecting large-scale infrastructure farms for specialist AI use cases.
- Ability to engage with C-level or senior business leaders and influence decisions.
Job Responsibilities for Software Engineer, AI Infrastructure, Google Public Sector at Google:
- Serve as a trusted advisor to our top customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure.
- Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and bench-marking.
- Build repeatable assets to enable other customers and internal teams.
- Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
- Travel to customer sites and events as needed.
How to apply for Software Engineer, AI Infrastructure, Google Public Sector USA Jobs:
Apply Link: Click Here to apply for Software Engineer