Field Service Engineer
Mechanical Assembly Technician
Senior Mechanical Engineer
Application Engineer, CV/ML
Lumafield is looking for an ML-experienced, customer-facing engineer to help customers achieve business results with CT-generated data. As a CV/ML Application Engineer, you will develop, test, and implement machine learning models inside customer engineering and manufacturing environments — for defect detection, dimensional analysis, anomaly detection, and process control.
The role includes both customer-facing work and internal platform work. With customers, you will scope ML applications, build and validate models against their data, and deploy them into their production workflows, remotely and on-site. You will work closely with Project Managers and the rest of the customer-facing organization including other Applications Engineers and Customer Success team members.
Internally, you will partner with Product Management and Software Engineering to harden recurring customer needs into product, and contribute to Lumafield's internal CV/ML strategy across the platform.
Forward Deployed Engineer
Hardware Systems Engineer
About the Role:
The Hardware Group is looking for a Hardware Systems Engineer to join our Cambridge office and own the breadth of hardware development for a new class of industrial CT scanners. This is a hands-on, highly interdisciplinary role on a team taking new industrial machinery from concept to production. You will be directly responsible for system architecture, electrical design, embedded integration, and prototype bring-up, while partnering with mechanical, software, manufacturing, and product engineers. You’ll work alongside a small, fast-moving team that values curiosity, rigor, and system-level thinking. If you’re a well rounded electrical engineer, embedded engineer, robotics engineer, or similar, this role is for you.
This is a full-time, in-person role based in our Cambridge, MA office.
Systems Software Engineer
This role is ideal for candidates who are looking for an opportunity to scale a fleet of embedded devices from hundreds of units to thousands, and introduce production-grade capability to our systems.
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