The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Lead technical strategy and execution for CAD DevOps workflows
Lead team to follow industry-standard software practices
Work in close collaboration with the CAD Hardware and Compute infrastructure teams
Design software solutions and documentation that scale to a large user base
Develop, enhance, and integrate CAD Flows and automation for organization-wide use
Requirements
Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field
Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
Imagine making AI coding tools more effective for tens of thousands of Microsoft engineers—that’s what you’ll do on the Engineering Thrive Insights team.
Compensation
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Responsibilities
Define success metrics, design and analyze experiments, develop statistical and machine-learning models, and uncover opportunities to improve AI-assisted software development.
Build rigorous measurement frameworks, evaluate product changes, and translate complex behavioral and product data into recommendations for engineering and product teams.
Deepen expertise in experimentation, causal inference, developer productivity frameworks such as DORA and SPACE, AI product evaluation, and privacy-conscious analytics.
Prototype and develop AI models using containerized environments to operationalize, build, and validate scalable tools/applications/solutions.
Develop and deploy systems for basic retrieval-augmented generation workflows, assisting in the selection of data sources, retrieval systems, and generative models.
Requirements
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Senior Software Developer responsible for modernizing Powerpay’s Canadian payroll and human capital management solution using Java, Spring Boot, microservices, AWS, and AI-powered development tools.
Responsibilities
Design, develop, test, and maintain backend applications using Java and Spring Boot
Build and integrate RESTful APIs and microservices
Contribute to modernizing existing applications and transitioning functionality to cloud-native architectures
Take ownership of development tasks from technical design through implementation and delivery
Apply object-oriented programming principles, design patterns, and clean coding practices
Senior Software Developer responsible for modernizing Powerpay’s cloud-native applications using Java, Spring Boot, microservices, AWS, and AI-powered development tools.
Responsibilities
Design, develop, test, and maintain backend applications using Java and Spring Boot
Build and integrate RESTful APIs and microservices
Contribute to modernizing existing applications and transitioning functionality to cloud-native architectures
Take ownership of development tasks from technical design through implementation and delivery
Apply object-oriented programming principles, design patterns, and clean coding practices
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Nice to have: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 1+ year data-science experience
Nice to have: Master's Degree with 3+ years data-science experience
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