Engineering Manager, ML Network Stack for EC2

Amazon Web Services (AWS); Seattle (WA); On-site; USD 185,000 - 250,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Annapurna Labs (U.S.) Inc. in Seattle is hiring a Software Development Manager to lead the team that owns major parts of the EC2 network stack for distributed AI/ML and HPC systems.

You will guide engineers with hands-on systems programming, networking, RDMA, HPC and HW/SW co-design while delivering features for the latest ML workloads. You will coordinate with product teams, recruit and mentor engineers, set technical direction, and ensure reliable, scalable services across EC2.

Qualifications

• 3+ years of engineering team management experience.
• 5+ years of working directly within engineering teams experience
• 3+ years designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• 5+ years of leading the definition and development of multi tier web services experience
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
• Experience partnering with product or program management teams

Responsibilities

• Direct teams to deliver functions and features for the latest and largest ML workloads.
• Coordinate with product managers and cross-functional teams to align on roadmap and priorities

Skills

People management

Networking expertise

Systems programming

RDMA knowledge

ML/AI workloads experience

Tools

NVIDIA stack

HW/SW co-design

Multi-tier web services

Job description

Annapurna Labs (U.S.) Inc. in Seattle is hiring a Software Development Manager to lead the team that owns major parts of the EC2 network stack for distributed AI/ML and HPC systems.

You will guide engineers with hands-on systems programming, networking, RDMA, HPC and HW/SW co-design while delivering features for the latest ML workloads. You will coordinate with product teams, recruit and mentor engineers, set technical direction, and ensure reliable, scalable services across EC2.