SDE II, ML Infra Services, Annapurna Labs

Amazon • Seattle, WA

7d • $143,700 - $194,400 • Hybrid

About The Position

This position is for a Software Engineer that will lead the development of machine learning tools to run, optimize, and analyze machine learning workloads. This candidate must have had experience leading machine learning tool projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of profiling and optimization, resource management, scheduling, code generation are needed. The ideal candidate will have worked on new instruction set architectures, which may include CPU, NPU, GPU and other forms of compute. This engineer will lead the design and implementation of this new toolset, will work with developers, system architects, hardware engineers and users both within and external to Amazon to ensure compatibility of this new toolset with existing and next-generation AI accelerators.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
• Experience in Kubernetes, Docker or containers ecosystem, or experience managing full application stacks from the OS up through custom applications and experience in any Bigdata architecture
• Experience with version control systems and CI/CD pipeline implementation
• Strong proficiency in Go/Java, Python, and Javascript/Typescript
• Application and kernel performance profiling and optimization
• Proficiency in integrated software/hardware performance analysis and optimization
• Experience designing and operating production services
• Experience leading machine learning tool projects, preferably starting from architecture through several generations of delivery to customers.
• Deep knowledge of profiling and optimization, resource management, scheduling, code generation.
• Worked on new instruction set architectures, which may include CPU, NPU, GPU and other forms of compute.

Responsibilities

• Lead the design and implementation of this new toolset.
• Work with developers, system architects, hardware engineers and users both within and external to Amazon to ensure compatibility of this new toolset with existing and next-generation AI accelerators.
• Design and code solutions to help our team drive efficiencies in software architecture.
• Create metrics, implement automation and other improvements.
• Resolve the root cause of software defects.
• Build high-impact solutions to deliver to our large customer base.
• Participate in design discussions, code review, and communicate with internal and external stakeholders.
• Work cross-functionally to help drive business decisions with your technical input.
• Work in a startup-like development environment, where you’re always working on the most important stuff.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree