Senior Software Engineer

Akamai•Cambridge, MA

14d•$138,237 - $218,600•Remote

About The Position

Akamai Technologies, Inc. is hiring for the following role in Cambridge, MA (multiple openings): Senior Software Engineer Building and operating systems responsible for model validation, quantization, and safety across the organization. Developing and maintaining model validation and security scanning pipelines that assess models for quality, correctness, and vulnerabilities prior to deployment. Implementing quantization, pruning, and other optimization techniques to reduce model footprint and improve inference latency across diverse hardware configurations. Building guardrail and content safety systems that enforce compliance policies and mitigate risks such as jail breaking and prompt injection. Designing model routing and prompt management infrastructure that supports intelligent request handling across model variants. Contributing to model evaluation frameworks that measure accuracy, performance, and safety metrics across the model lifecycle. Telecommuting permitted from anywhere within the United States. [AG1291] #LI-DNI

Requirements

Master’s degree or foreign equivalent in Master Computer Science, Computer Engineering, Data Engineering, Data Science, Data Analytics, Business Analytics and Project Management, or Analytics, and one (1) year of experience in the job offered or closely related engineering role.
One (1) year of experience with TCP/IP, HTTP/HTTPS, and DNS
One (1) year of experience with Linux (Bash/Shell) & Log Analysis
One (1) year of experience with Python Scripting & Automation
One (1) year of experience with Web Performance & Caching Troubleshooting
One (1) year of experience with SSL/TLS & Secure Web Delivery
One (1) year of experience with Root Cause Analysis
One (1) year of experience with JavaScript, HTML, and Web Debugging
One (1) year of experience with Global Traffic Routing & Edge Diagnostics

Responsibilities

Building and operating systems responsible for model validation, quantization, and safety across the organization.
Developing and maintaining model validation and security scanning pipelines that assess models for quality, correctness, and vulnerabilities prior to deployment.
Implementing quantization, pruning, and other optimization techniques to reduce model footprint and improve inference latency across diverse hardware configurations.
Building guardrail and content safety systems that enforce compliance policies and mitigate risks such as jail breaking and prompt injection.
Designing model routing and prompt management infrastructure that supports intelligent request handling across model variants.
Contributing to model evaluation frameworks that measure accuracy, performance, and safety metrics across the model lifecycle.