Staff Software Engineer, AI/ML Infrastructure, GPUs

Google • Seattle, WA

71d • $197,000 - $291,000

About The Position

The Staff Software Engineer, AI/ML Infrastructure, GPUs position involves working on cutting-edge technology in the field of artificial intelligence and machine learning. This role is focused on developing and optimizing infrastructure that supports GPU-based applications, ensuring high performance and scalability. The engineer will collaborate with cross-functional teams to design and implement solutions that enhance the capabilities of AI/ML systems.

Requirements

• Proven experience in software engineering with a focus on AI/ML technologies.
• Strong programming skills in languages such as Python, C++, or Java.
• Experience with GPU programming and optimization techniques.
• Familiarity with cloud computing platforms and services.
• Ability to work collaboratively in a team environment.

Nice To Haves

• Experience with distributed systems and microservices architecture.
• Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with containerization technologies like Docker and Kubernetes.

Responsibilities

• Develop and optimize AI/ML infrastructure for GPU applications.
• Collaborate with cross-functional teams to design scalable solutions.
• Implement performance monitoring and optimization strategies.
• Contribute to the architecture and design of AI/ML systems.
• Ensure high availability and reliability of infrastructure.

Benefits

• 401k
• health insurance
• dental insurance
• vision insurance
• paid holidays
• flexible scheduling
• professional development
• tuition reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Web Search Portals, Libraries, Archives, and Other Information Services