Principal Software Engineer, Machine Learning Platform

Autodesk • San Francisco, CA

1d • Remote

About The Position

Research, design, and Autodesk’s develop computer and network software or specialized utility programs. Design and engineer software systems part of the next generation Autodesk ML Platform to support full ML lifecycle management. Update software or enhance existing software capabilities. Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements. Maintain databases within an application area, working individually or coordinating database development as part of a team. As part of the initial and core set of engineers, tactically advocate for best development practices while strategically driving long term technology direction for the team. Identify opportunities to automate and streamline processes to improve ML development. Build end-to-end systems to automate time-consuming processes such as feature engineering. Build tools for building and deploying ML solutions to production applications. Automate and orchestrate tasks for managing big data sets. Build large scale data stores that house ML artifacts like models, features, parameters, etc. Build low latency prediction/inference services. Work across a diverse group of machine learning researchers, developers, product managers, software architects and operations. Must be available to work on projects at various, unanticipated sites throughout the United States. Telecommuting is permitted.

Requirements

• Master’s degree in Computer Science, Engineering, Information Technology, Information Systems or related field and 5 years of experience in the job offered or in a software/systems analyst-related occupation.
• Must be available to work on projects at various, unanticipated sites throughout the United States. Telecommuting is permitted.
• Position requires at least 5 years of experience in each of the following skills: Experience with relational and non relational databases such as AWS DynamoDB, RDS, GCP Bigtable, GCP Bigquery; Experience with AWS or GCP stack – AWS Dynamo, AWS lambda, AWS ECS, or AWS Batch to design, build, and maintain large scale low latency cloud applications; Experience with Infrastructure as a tool such as Terraform; Experience with monitoring and observability platform and tools such as Pagerduty, Splunk, and AWS Cloudwatch; Experience with CI/CD pipelines and tools such as Jenkins and Spinnaker;
• Position also requires at least 1 year of experience in each of the following skills: Experience with ML libraries and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn; Experience with Batch processing frameworks such as Apache Hadoop and Apache Spark; Experience working with streaming pipelines using Apache Kafka.

Responsibilities

• Research, design, and Autodesk’s develop computer and network software or specialized utility programs.
• Design and engineer software systems part of the next generation Autodesk ML Platform to support full ML lifecycle management.
• Update software or enhance existing software capabilities.
• Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.
• Maintain databases within an application area, working individually or coordinating database development as part of a team.
• As part of the initial and core set of engineers, tactically advocate for best development practices while strategically driving long term technology direction for the team.
• Identify opportunities to automate and streamline processes to improve ML development.
• Build end-to-end systems to automate time-consuming processes such as feature engineering.
• Build tools for building and deploying ML solutions to production applications.
• Automate and orchestrate tasks for managing big data sets.
• Build large scale data stores that house ML artifacts like models, features, parameters, etc.
• Build low latency prediction/inference services.
• Work across a diverse group of machine learning researchers, developers, product managers, software architects and operations.
• Must be available to work on projects at various, unanticipated sites throughout the United States.

Benefits

• From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work.
• Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
• Salary is one part of Autodesk’s competitive compensation package.
• For U.S.-based roles, we expect a starting base salary between $213,512 - $235,000 / per year.
• Offers are based on the candidate’s experience and geographic location.
• In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees