Lead SDE, ML Compute & Cloud Infrastructure

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 168,100 - 227,400

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Development Center U.S., Inc. in Seattle, WA, is seeking an experienced software leader to drive development for EC2 ML compute platforms. You will work with hardware, firmware, and software teams to advance Ultraserver technologies, focusing on ML workloads and scalable systems.

The ideal candidate has strong CS fundamentals, expertise in C/C++, and experience with Linux build processes, testing, and ML frameworks. Leadership and collaboration across teams are essential for this role.

Qualifications

  • Five+ years of non-internship software development experience.
  • Experience with C, C++, or Rust in Linux environment is required.
  • Experience mentoring or leading an engineering team.

Responsibilities

  • Design and develop technologies powering infrastructure for ML workloads on Ultraservers.
  • Lead technical projects establishing EC2 as a pioneer in cloud computing for ML workloads.
  • Develop and maintain regression testing systems for performance across releases.
  • Collaborate with hardware engineering teams to influence future platform designs.
  • Build customer relationships by solving complex performance challenges and sharing best practices.

Skills

C/C++ development
Linux environment
ML frameworks
Cluster management
Mentor / tech lead

Education

Bachelor's degree in computer science or equivalent

Tools

Git
Build systems

Job description

Amazon Development Center U.S., Inc. in Seattle, WA, is seeking an experienced software leader to drive development for EC2 ML compute platforms. You will work with hardware, firmware, and software teams to advance Ultraserver technologies, focusing on ML workloads and scalable systems.

The ideal candidate has strong CS fundamentals, expertise in C/C++, and experience with Linux build processes, testing, and ML frameworks. Leadership and collaboration across teams are essential for this role.

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