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Systems Software Engineer

About Lumafield: 

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Lumafield Boston, Boston, MA Source published Sep 20, 2026 Verified 8 hours ago
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EmploymentFull Time

Overview

About Lumafield: 

Full job description

About Lumafield:

Lumafield was founded in 2019 to upgrade manufacturing.

We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it.

Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively.

We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again.

Lumafield is headquartered in San Francisco, CA. and has an office in Cambridge, MA.

About the role:

As a Systems Software Engineer at Lumafield, you will work on the software that powers our next-generation, manufacturing in-line CT scanning products. You'll work on the bleeding edge of X-ray physics, high-speed detectors, image processing, and embedded systems. On a small team working on our newest hardware, you'll bring the skill to extract the highest quality data out of the system and achieve great outcomes for our customers. 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. This role is located in Lumafield’s Cambridge, MA office.

Write performance edge application software to acquire, process, and stream radiograph data

Write appliance firmware to maintain tight control loops for scanner peripherals

Participate in code reviews, build up testing infrastructure, and help set a high standard for how the team can move fast and maintain high levels of quality.

Ship production critical Linux-based applications

Architect data acquisition solutions that balance configurability and customizability

Collaborate closely with our product, research, hardware, and software development teams to understand requirements and architect solutions

3+ years of experience writing low-level, high-performance software in Python and C; you not only write code, but also understand the performance impact on a specific system.

Experience shipping applications with embedded Linux, including configuring core services such as udev, systemd, and kernel schedulers.

3+ years of startup experience – you know the trade-offs between shipping fast and perfecting a design.

Hands-on experience integrating new hardware platforms by using vendor SDKs and manuals to write performant, maintainable driver integrations

Mastery of software engineering fundamentals including debuggers, profilers, and evaluating trade-offs between different technology choices, and proficiency with Python’s built-in concurrency models (asyncio, threading, and multiprocessing)

Able to design, integrate, and test systems by interpreting component and product datasheets.

Bachelor's degree in Engineering or related field

Experience building & shipping high performance hardware-accelerated image processing edge solutions using NVIDIA CUDA and/or Jetson platform

Experience with classical computer vision techniques and machine learning CV algorithms

Experience with shipping user-facing UIs written in React.js

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