Job Description
Position: Principal Software Engineer, Machine Learning Platform Work location: San Francisco, CA Wage: $213,512 - $235,000 / per year Job Duties: Research, design, and Autodesks 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. Minimum Requirements: Masters 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. Skill Requirements: Position requires at least 5 years of experience in each of the following skills: 1. Experience with relational and non relational databases such as AWS DynamoDB, RDS, GCP Bigtable, GCP Bigquery; 2. 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; 3. Experience with Infrastructure as a tool such as Terraform; 4. Experience with monitoring and observability platform and tools such as Pagerduty, Splunk, and AWS Cloudwatch; 5. 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: 6. Experience with ML libraries and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn; 7. Experience with Batch processing frameworks such as Apache Hadoop and Apache Spark; 8. Experience working with streaming pipelines using Apache Kafka. The starting base salary range for this role is reflected above. Salary is one part of Autodesks competitive package. Offers are based on the candidates experience and geographic location. TO APPLY: Please email resume to, and indicate job code SEE054. Proof of authorization to work in U.S. is required if hired. The company is an Equal Opportunity Employer and fully supports affirmative action practices.