Principal Software Engineer

Job Requisition ID #

25WD85264

Autodesk makes software for people who design and build the world around us. As a global leader in 3D design, engineering, manufacturing, and entertainment software, our tools power the creation of everything from high-performance cars and iconic skyscrapers to smartphones and award-winning films.

We are seeking a Principal Software Engineer to help shape Autodesk's next-generation Insights platform, a foundation for building smarter, more secure, and scalable AI and generative AI solutions across our product portfolio. You'll collaborate with research and engineering teams spanning design, construction, manufacturing, and media & entertainment to deliver a platform that supports insights development lifecycle.

Responsibilities

• Architect & Lead: Drive the design and development of core systems for Autodesk's Insights platform, ensuring scalability, reliability, and performance.
• Automate & Streamline: Identify opportunities to simplify and automate workflows, from data processing to deployment.
• Data & Big Data Management: Orchestrate and automate large-scale data transformations, pipelines, and artifact storage.
• Inference at Scale: Design and implement low-latency, high-throughput prediction and inference services.
• Cross-Team Collaboration: Partner with researchers, product managers, architects, and engineers across domains to align solutions with business and customer needs.
• Architectural Ownership: Provide technical leadership and set architectural direction for critical components of the Insights platform.

• MS in Computer Science or equivalent practical experience.
• 8+ years in software development with proven delivery of production-grade systems and services.
• Expertise in programming (Python, Java, Go, SQL, scripting languages).
• Strong record in distributed system design and scalable software architecture.
• Hands-on experience with AWS or Azure cloud technologies.
• Proficiency with big data platforms (Hadoop, Spark, Hive, NoSQL, pipelines).
• Experience building and optimizing data platforms (storage, retrieval, processing).
• Possessing an understanding of statistical analysis and prior collaboration with data scientists or researchers.
• Excellent critical reasoning and decision-making skills.
• Excellent communication, presentation, and interpersonal skills.