As a Principal Software Engineer on the AEC Solutions team, you will join a team of technologists to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing. You will collaborate across organizations with a versatile group of AI Researchers, ML Engineers, Software Architects, and Experience Designers that are building cutting-edge foundation models and generative AI tools for the AEC industry. You'll also help ensure that we maintain privacy and security standards respecting and safeguarding our customers' data.
Report: You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.
Location: We support hybrid work, and you work near our Boston, Massachusetts or Toronto, Canada offices.
Responsibilities
- Design scalable, distributed systems and microservices in a production setting.
- Develop scalable and resilient data ingestion and processing pipelines, monitoring and self-healing systems that power AI-based solutions for AEC workflows.
- Take ownership of the implementation of individual software components, with a high emphasis on quality, test-driven development, and sound software engineering practices.
- Participate in software design reviews, conduct peer code reviews, and provide input and feedback to other members of the development team.
- Write unit, functional, regression tests for the code you create, and contribute to the test automation, continuous integration, and deployment processes together with everyone else in the development team.
- Work with software architects and product managers to translate overall system architecture and product requirements into well-designed and implemented software components.
- Mentor junior engineers, fostering a culture of continuous learning and improvement.
Minimum Qualifications
- BS or MS in Computer Science or related technical field.
- 10+ years of software engineering experience.
- Experience writing performant code in Java or Python.
- Experience developing data ingestion and processing pipelines, monitoring and self-healing systems.
- Experience delivering production applications with Amazon Web Services.
- Proficiency in serverless and managed Amazon Web Services including Lambdas, AWS Step, and SQS.
- Experience in utilizing AWS IAM to develop secure solutions, specifically with resource access policies and IAM roles.
- Experience with AWS infrastructure as code solutions, such as CDK or Cloud Formation.
- Experience working with Data Lake or Warehouses, ETLs.
- Experience with microservices and RESTful web services.
- Experience with modern software practices including Continuous Integration, Continuous Delivery, and Infrastructure-as-Code.
- Experience with Scrum and Agile development processes and methodologies.
Other Qualifications
- Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards.
- Experience with cloud-native capabilities, including data at scale, edge computing, and AI-based solutions.
Ideal Candidate
- You easily collaborate with other members of an Agile team to get products and components developed and completed.
- You are constantly striving to learn new technologies and methodologies.
- You exhibit a low tolerance for inefficiency and have a burning desire to automate anything that can be automated.
- You are adaptable, customer-focused, and seek new ways to solve hard problems.
- You have a passion for making simple, scalable platforms used by other engineering teams.