Staff Software Engineer

About the role

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to improve and extend the foundational infrastructure leveraged by Xometry’s AI/ML solutions, including the Instant Quoting Engine®, the Computational Geometry Service, and other data products powering the Xometry marketplace. This will be a high visibility role working hands-on to deliver a core aspect of the Xometry ecosystem. You will be given the opportunity to continually challenge yourself, drive innovation, have ownership of your work, and play a crucial role in the Xometry platform.

How You’ll Contribute:

- Operational Excellence: Guarantee the delivery of superior infrastructure and software, while aligning with the strategic business timelines

- Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization

- Code Review: You will do code review and mentor others within the organization regarding best practices in ML and Software Engineering

- Collaborative Strategy: Forge strong partnerships with product managers, engineers, and company leadership to promote a culture of open communication and integrated team dynamics

What You'll Bring to Xometry:

- At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similarr

- A Bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience

- Demonstrable understanding of software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration

- Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support data intensive applications, including AI/ML solutions, with considerations for scale, reliability and security

- Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following

- Infrastructure as Code (IaC), especially Terraform

- REST API design and implementation

- Object oriented and functional programming in Python

- Multimodal data processing (e.g., combining text, image, and 3D data)

- Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis