Amazon
Sr. SDE, Chip Validation Ops, Annapurna Labs Machine Learning Acceleration
Amazon, Austin, Texas, us, 78716
Sr. SDE, Chip Validation Ops, Annapurna Labs Machine Learning Acceleration
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us! As a Sr. SDE, Chip Validation Ops, you will design and implement software systems to monitor, test, and improve silicon quality across our fleet. Build scalable solutions for tracking component performance and automating quality inspection processes.
Responsibilities
Develop and maintain systems to track silicon part quality metrics
Create and scale functional, performance, logic and electrical tests
Design and scale automated inspection mechanisms for quality control
Collaborate with hardware teams to define test requirements and specifications
BASIC QUALIFICATIONS
Bachelor's degree in Computer Science, Computer Engineering, or related field
8+ years of chip design and/or embedded development experience
Experience with test automation and continuous integration
Knowledge of semiconductor testing methodologies
Proficiency in one or more programming languages (C++, Python, Java)
Experience with large-scale distributed systems
PREFERRED QUALIFICATIONS
Knowledge of hardware description languages (Verilog, VHDL)
Background in test development for semiconductor devices
Experience with statistical analysis and data visualization
Familiarity with hardware debugging tools
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us! As a Sr. SDE, Chip Validation Ops, you will design and implement software systems to monitor, test, and improve silicon quality across our fleet. Build scalable solutions for tracking component performance and automating quality inspection processes.
Responsibilities
Develop and maintain systems to track silicon part quality metrics
Create and scale functional, performance, logic and electrical tests
Design and scale automated inspection mechanisms for quality control
Collaborate with hardware teams to define test requirements and specifications
BASIC QUALIFICATIONS
Bachelor's degree in Computer Science, Computer Engineering, or related field
8+ years of chip design and/or embedded development experience
Experience with test automation and continuous integration
Knowledge of semiconductor testing methodologies
Proficiency in one or more programming languages (C++, Python, Java)
Experience with large-scale distributed systems
PREFERRED QUALIFICATIONS
Knowledge of hardware description languages (Verilog, VHDL)
Background in test development for semiconductor devices
Experience with statistical analysis and data visualization
Familiarity with hardware debugging tools
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr