Principal Software Engineer, Manufacturing Intelligence
New
X
XometryManufacturing Technology
Location: Waltham, MA; Location Type: RemoteFull-TimePrincipal
Salary148,000 - 193,000 USD per year
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Job Details
- Experience
- 8+ years of total experience, including a minimum of 4 years as technical leader
- Required Skills
- AWSDockerCloud ComputingGCPKubernetesAzureSoftware EngineeringDistributed Systems
Requirements
- At least 8 years of experience in software engineering or similar technical roles.
- Bachelor’s degree required; advanced degree (M.S. or PhD) preferred.
- Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
- Experience with containerization technologies (Docker and Kubernetes).
- Experience designing, building, and managing distributed computing systems.
- Excellent communication and interpersonal skills.
- Ability to manage multiple projects simultaneously.
- Ability to communicate effectively at all levels of the organization.
Responsibilities
- Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.
- Teaching & Mentorship: You will serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
- Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering.
- Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.
- Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.
- Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.
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