Systems Software Engineer
As a Systems Software Engineer, you will develop software for next-generation CT scanning products, focusing on X-ray physics, high-speed detectors, image processing, and embedded systems. This role involves scaling embedded devices and introducing production-grade capabilities.
About the job
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. What You'll Do:
- 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
About You:
- 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
Bonus Points For:
- 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
Skills
Python, C, Embedded Linux, Udev, Systemd, Kernel Schedulers, Nvidia Cuda, Jetson, Computer Vision, Machine Learning, React
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