Principal Software Engineer – AI & ML Platform
Job Summary
Job Description
- Lead the design and engineering of software systems for the AI/ML Platform.
- Identify and implement opportunities to automate and streamline ML development processes.
- Develop comprehensive systems to automate and optimize laborious processes.
- Develop tools for building and deploying ML artifacts in production environments.
- Automate and orchestrate tasks related to managing big data transformation and processing.
- Design and implement low-latency, scalable prediction and inference services.
- Collaborate across diverse teams, including machine learning researchers, developers, product managers, software architects, and operations.
- Take ownership of critical components of the platform, providing architectural direction.
- MS in Computer Science, or equivalent practical experience.
- Over 8 years of experience in software development and engineering, with a solid record of delivering production systems and services.
- Expertise in programming languages such as Python, Java, Go, scripting languages and SQL.
- Demonstrated creative problem-solving skills.
- In-depth experience with Amazon AWS or Azure cloud technologies.
- Excellent track record in scalable system design and distributed software architecture.
- In-depth experience working with big data technologies, including NoSQL, Hadoop, Spark, Hive, and data pipelines.
- Strong expertise in data platforms, encompassing the design and implementation of scalable and efficient data storage, retrieval, and processing systems.
- Excellent communication and collaboration skills.
- Familiarity with agile development methodologies, including CI/CD & test-driven development.
- Working knowledge with cloud data processing, training, deployment, or operations, such as Snowflake or Databricks.
- Exposure to deploying ML-enabled projects and solutions to production environments.
- Familiarity with Machine Learning Operations practices.
- Exposure to open-source Large Language Models on Hugging Face like Llama & Mixtral.
- Exposure to ML libraries such as PyTorch, TensorFlow, XGBoost, Pandas, and ScikitLearn.
- Exposure to statistical analysis.
- Past collaboration with data scientists and researchers.
- Annual cash bonuses
- Commissions for sales roles
- Stock grants
- Comprehensive benefits package
Job Details
Position Overview
We are seeking a dynamic and enthusiastic principal software engineer to develop our next-generation AI/ML platform used in the development of Autodesk’s suite of products and services. Join our dynamic and rapidly expanding team to help build innovative capabilities that enable faster and more secure development of machine learning and generative AI solutions, bolstering the intelligence of Autodesk software products and services. You will collaborate with research and product engineering from various domains including design, construction, manufacturing, and media & entertainment to deliver the platform that supports full AI/ML development lifecycle.
Responsibilities
- Innovative System Design: Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development lifecycle.
- Automation and Streamlining: Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness.
- Workflow Automation: Develop comprehensive systems to automate and optimize laborious processes, integrating them seamlessly into our platform to streamline operations.
- ML Solution Deployment: Develop tools for building and deploying ML artifacts in production environments, facilitating a smooth transition from development to deployment.
- Big Data Management: Automate and orchestrate tasks related to managing big data transformation and processing, building large-scale data stores for ML artifacts.
- Scalable Services: Design and implement low-latency, scalable prediction, and inference services to support the diverse needs of our users.
- Cross-Functional Collaboration: Collaborate across diverse teams, including machine learning researchers, developers, product managers, software architects, and operations, fostering a collaborative and cohesive work environment.
- Architectural Leadership: Take ownership of critical components of the platform, providing architectural direction, and contributing to the overall success of the AI/ML Platform.
Basic Qualifications
- Educational Background: MS in Computer Science, or equivalent practical experience.
- Experience: Over 8 years of experience in software development and engineering, with a solid record of delivering production systems and services.
- Expertise in programming languages such as Python, Java, Go, scripting languages and SQL.
- Demonstrated created problem-solving skills with the ability to break down problems into manageable components.
- In-depth experience with Amazon AWS (Amazon Web Services) or Azure cloud technologies.
- Excellent track record in scalable system design and distributed software architecture.
- In-depth experience working with big data technologies, including NoSQL, Hadoop, Spark, Hive, and data pipelines.
- Strong expertise in data platforms, encompassing the design and implementation of scalable and efficient data storage, retrieval, and processing systems.
- Excellent communication and collaboration skills, fostering teamwork and effective information exchange.
- Familiarity with agile development methodologies, including CI/CD & test-driven development.
- Working knowledge with cloud data processing, training, deployment, or operations, such as Snowflake or Databricks.
Preferred Qualifications
- Exposure to deploying ML-enabled projects and solutions to production environments.
- Familiarity with Machine Learning Operations practices.
- Exposure to open-source Large Language Models on Hugging Face like Llama & Mixtral.
- Exposure to ML libraries such as PyTorch, TensorFlow, XGBoost, Pandas, and ScikitLearn.
- Exposure to statistical analysis.
- Past collaboration with data scientists and researchers.
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
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About The Company
Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D. We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualified applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife. We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.
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