✦ Luna Orbit — AI & Machine Learning

Senior Software Dev Engineer, EC2 Nitro

at Amazon.com

📍 US, WA, Seattle Unknown Posted March 13, 2026
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

Amazon's EC2 Nitro Machine Learning Systems team seeks a software engineer to develop infrastructure for high-performance AI workloads, influencing future hardware and platform designs.

  • Design performance measurement infrastructure
  • Lead ML benchmarking
  • Conduct regression testing
  • Collaborate on hardware platform design
  • Resolve performance challenges

The role involves building scalable performance measurement infrastructure, conducting regression testing, and collaborating across teams to optimize ML systems using AWS EC2, CUDA, and hardware technologies.

The ideal candidate is an experienced software engineer with expertise in ML performance systems, hardware optimization, and cloud infrastructure, particularly AWS EC2. They should have a strong background in building measurement infrastructure and optimizing AI workloads at scale.

ML Systems PerformanceHardware OptimizationPerformance Measurement InfrastructureRegression TestingAWSEC2CUDA
ML BenchmarkingML FrameworksNetworking TechnologiesCustomer SupportPlatform Design
AWSEC2CUDAEFAFirmwareDrivers
ML Systems PerformanceHardware OptimizationPerformance Measurement InfrastructureML BenchmarkingRegression TestingAWSEC2CUDAFirmwareDrivers
ML Systems PerformanceHardware OptimizationML FrameworksPerformance Measurement InfrastructureML BenchmarkingRegression TestingAWSEC2CUDAEFAFirmwareDriversNetworking Technologies
CollaborationProblem-solvingTechnical CommunicationAnalytical ThinkingCustomer Focus
Industry Cloud Computing / AI Infrastructure
Job Function Develop and optimize infrastructure for AI/ML workloads in cloud environments
Role Subtype Machine Learning Engineer
Tech Domains Amazon Web Services, Machine Learning, Hardware Optimization, Performance Measurement Infrastructure
ML Systems PerformanceHardware OptimizationPerformance Measurement InfrastructureML BenchmarkingRegression TestingAWSEC2CUDAEFAFirmwareDriversNetworking TechnologiesML FrameworksPerformance KPIsPerformance InsightsCustomer Support

Lack of experience with ML performance systems, No knowledge of AWS EC2 or cloud infrastructure, No background in hardware optimization, Lack of experience with performance measurement tools

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