Senior Software Engineer, AI/ML Infrastructure

Requirements:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Nice to haves:

• Master's degree or PhD in Computer Science or related technical fields.
• 5 years of experience with data structures and algorithms.
• Experience with distributed computing leveraging GPUs or TPUs.
• Ability to scope and solve ambiguous problems, and grow in a fluid environment where AI technologies are continuously advancing.

What you'll be doing:

• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
• Optimize performance on Google's AI infrastructure across the technical stack.
• Conduct the performance profiling, debugging, and troubleshooting of AI/ML training and inference workloads.
• Develop tools and software for our AI/ML Infrastructure to deliver excellent developer experience.
• Partner closely with cross-functional, cross-regional teams to ensure our AI/ML infrastructure delivers exceptional value and drives success for our customers.

Perks and benefits:

• No specific perks and benefits listed in the job description.