Staff Software Engineer

Work at the intersection of ML infrastructure and real business impact in Xometry’s core machine learning and data platform engineering organization. This hybrid role in Denver, CO focuses on improving and extending the foundational infrastructure behind Xometry’s AI/ML solutions and marketplace data products. You will help drive reliability, scalability, and modern engineering practices that support data-intensive applications.

Responsibilities

• Ensure delivery of high-quality infrastructure and software in alignment with strategic business timelines
• Promote adoption of advanced technologies, methodologies, and practices to improve efficiency and effectiveness across the AI organization
• Lead code reviews and mentor others on best practices in ML and software engineering
• Partner closely with product managers, engineers, and company leadership to support a culture of open communication and integrated team dynamics

Requirements

• 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 similar
• Bachelor’s degree required; 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
• Strong understanding of software engineering principles including parallel and distributed computing, version control, reproducibility, and continuous integration
• Experience designing and deploying cloud infrastructure (AWS preferred) for data-intensive applications, with attention to scale, reliability, and security
• Hands-on experience with Infrastructure as Code, especially Terraform
• Experience designing and implementing REST APIs
• Proficiency in Python using object-oriented and functional programming styles
• Background in multimodal data processing (text, image, and 3D data)
• Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, CloudWatch, ECR, EKS, and Kinesis
• Experience with containerization technologies including Docker and Kubernetes
• Ability to communicate and collaborate effectively across organizational levels, from executives to product managers and diverse stakeholders
• Manufacturing, supply chain, or similar industry experience is a plus
• Must be a US Citizen or Green Card holder due to ITAR requirements

Compensation

USD 160,000 - 180,000 per year.

Benefits

• 401(k) match
• Medical, dental, and vision insurance
• Life and disability insurance
• Generous paid time off including vacation, sick leave, floating and fixed holidays
• Maternity and bonding leave
• EAP and other wellbeing resources

Technologies

• AWS, Terraform, Python
• SageMaker, Service Catalog, IAM, Lambda, CloudWatch, ECR, EKS, Kinesis
• Docker, Kubernetes