Principal Software Development Engineer, Workday
Machine Learning
$179.2-268.8k
Salary applicable to Boulder applicants only, may vary for other locations. + Annual refresh stock grants
More information about location
Enterprise management cloud platform
Be an early applicant
Enterprise management cloud platform
1001+ employees
Be an early applicant
$179.2-268.8k
Salary applicable to Boulder applicants only, may vary for other locations. + Annual refresh stock grants
More information about location
1001+ employees
Company mission
To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.
Role
Who you are
- Do you want to build impactful, machine learning features and solutions that will be used by millions of end-users?
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 8 or more years of experience in production-level Software Development
- 4 or more years of experience in Python, with a consistent track record of shipping production code and systems
- 4 or more years of experience building scalable data pipelines and working with large-scale datasets
- 4 or more years of proven experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes) for MLOps
- MS/PhD degree in a relevant field, such as Computer Science or Engineering
- Deep technical expertise in the engineering, deployment, and MLOps of advanced machine learning solutions (e.g., generative models, LLMs, RAG, and AI agents), coupled with a strong understanding of scalable distributed systems, performance optimization, database technologies (e.g., PostgreSQL, Redis), and robust API development
- Proven algorithmic thinking and a tracproven historydesigning, implementing, and analyzing efficient algorithms for complex problems
- Demonstrated ability to build flexible, reusable, and well-documented software components, with comprehensive experience in code testing strategies (unit, integration, end-to-end) in a continuous deployment environment. Strong sense of ownership and a proven ability to deliver high-quality, finished products efficiently
- Excellent communication and collaboration skills, emphasizing team collaboration, knowledge-sharing, and delivering customer impact
What the job involves
- The Machine Learning organization at Workday solves challenging problems that lie at the intersection of machine learning and enterprise-scale software
- The team builds sophisticated ML solutions that power the core Workday software by modeling user behavior and providing intelligent automation
- As a Principal Software Development Engineer for Machine Learning, you will be a pivotal technical contributor, working closely with machine learning engineers to architect, build, and deploy robust, scalable, and performant AI systems across Workday's product ecosystem
- You will play a key role in transforming innovative ML research into production-ready solutions, primarily agentic AI capabilities encompassing planning, reasoning, and action execution frameworks
- Drive Architectural Design and Implementation: Own the architectural design and implementation of sophisticated AI systems and agentic AI capabilities, with a focus on advanced patterns such as tool calling, supervisor agents, multi-agent architectures, and human-in-the-loop integration. Ensure solutions are highly scalable, performant, and resilient in production environments, defining technical roadmaps and standard methodologies for ML system development and MLOps
- Build and Deploy Core ML Infrastructure: Architect, implement, and deploy secure, RESTful web services in Python and Kubernetes. Design and build robust, multi-tenant runtime architectures enabling fast inference and scaling to millions of users, seamlessly integrating with existing Workday components and leveraging cloud deployment standard methodologies
- Develop and Optimize Data Pipelines: Lead the development and deployment of Python and Spark-based data pipelines for collecting, joining, transforming, and loading large-scale datasets essential for model training and inference. Focus on efficiency, reliability, and data quality
- Technical Leadership and Mentorship: Provide technical leadership and guidance to fellow engineers, fostering a culture of engineering excellence, advocating for software development standard methodologies, and participating in design reviews and code quality initiatives
- Collaborate multi-functionally to translate requirements into technical designs, taking ownership of creative, high-quality solutions
- Apply and continuously advance industry-standard software engineering practices, including automation, observability, scalability, and MLOps, to deliver clean, maintainable, and testable code
Application process
- End Date: July 31, 2025
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.
The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company benefits
- Company equity
- Vision and dental insurance
- Work from home opportunities
- Health insurance
- Virtual primary care
- Flexible time-off policy
- Global mental health resources
- Global dedicated on-site clinical counselors
- Global well-being days
- $25k fertility/family planning benefits
- North Star financial wellness
- Retirement funds and matching
- 401k plan 🇺🇸
- On-site health clinic (Pleasanton office) 🇺🇸
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(CEO)Worked for Morgan Stanley for 3 years and took a Stanford MBA, before spending almost 6 years at Oracle as SVP. Co-founded Workday in 2005 while working as a Greylock Advisory Partner.
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