Position Overview

Autodesk is seeking a passionate and experienced Software Engineering Manager to join our Analytics Data Group. Our mission is to build a world-class, secure data platform that empowers thousands across Autodesk to make data-driven decisions—fueling product design, machine learning, experimentation, customer insights, and more.

As a hands-on Software Engineering Manager, you will lead a talented team of software and ML engineers in designing, developing, and maintaining the next-generation Autodesk machine learning platform.

In this role, you will drive the technical strategy, execution, and delivery of scalable AI/ML solutions. You’ll collaborate closely with Product Managers to shape and implement the roadmap, ensure alignment with organizational goals, foster cross-functional collaboration, and champion platform adoption across teams. We’re looking for a leader with strong technical expertise in AI/ML technologies and a proven track record of delivering complex, large-scale systems on time and within budget. You’ve built and led high-performing engineering teams, delivered production-grade platforms for large-scale AI/ML workloads, and thrive in an agile, fast-paced environment. Above all, you have the ability to inspire teams to achieve excellence.

Responsibilities

• Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
• Collaborate with teams including product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap
• Provide sound technical guidance and drive crucial technology decisions
• Stay updated with the latest advancements in AI/ML technologies
• Provide guidance of the design and architecture of scalable, reliable, and efficient AI/ML systems
• Ensure adherence to best practices in software development, code quality, and security standards
• Manage project timelines and resource allocation to drive deliverables
• Foster a culture of innovation, agility, collaboration, and continuous improvement within the engineering team
• Actively participate in the hiring process to attract and onboard top-tier engineering talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision

Minimum Qualifications

• BS/MS in Computer Science, Engineering, or a related field. (MS preferred)
• 12+ years of experience of software engineering, with at least 3 years in a management role
• Experience leading and mentoring software and ML engineering teams
• Experience with identifying potential project risks and developing mitigation strategies
• Background in AI/ML with experience in deep learning, statistical modelling, and neural networks
• Design and build scalable, high-performance systems with understanding of cloud services (AWS, Azure) and containerization technologies (Docker, Kubernetes)
• Experience with agile software development methodologies and management practices
• Expertise in developing/managing CI/CD pipelines, automation tools, and practices for machine learning lifecycle management
• Excellent communication and written skills

Preferred Qualifications

• Familiarity with cloud platforms such as AWS, specifically AWS SageMaker or Azure Machine Learning, or Google Cloud Platform
• Prior experience in building AI/ML platforms
• Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment