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We are looking for a firmware engineer who is passionate about computer vision to help develop the next suite of DepthAI products.

These products are spatial AI and CV cameras, which allow electronics to perceive the world like a human can - with knowledge of what objects, shapes, and features are - and their location in physical space.

DepthAI is the first platform in the world to allow this. And has now been featured in hundreds of publications around the world (Forbes, WSJ, NYT, etc.) because of the incredibly impactful products that are being built around it. A summary of just a single effort, by a single student who used DepthAI, is here, with over 96 articles worldwide. There are hundreds of companies developing similarly 0-to-1 applications off of our technology, a brief summary is below:

visual-assistance devices (as linked there)
anti-poaching
machine safety that saves life and limb
remote monitoring systems that protect the environment (e.g. from spills, leaks, fires, etc.)
intelligent bike lights that can keep people safe from distracted drivers
autonomous forklifts that prevent collision and detect damaged shelves
cargo monitoring, automatic packing, and fleet insight

To allow these missions to proceed as efficiently as possible - and to spur on the use of this technology to add value to the world - we open source as much as we can (hardware, software, firmware, AI training, etc.) See our hardware Github here. The only designs that are not open-sourced are those that have the Intel Movidius Myriad X directly onboard (which is typically only our system on modules, here) as Intel considers the Myriad X pinout/land-pattern design proprietary.

This role will be designing the next generation of DepthAI systems, with a focus on the core firmware that performantly ties all the disparate CV/AI/spatial hardware capabilities together.

Required skills:
- C/C++ in-depth understanding
- CMake
- Hardware and embedded experiences
- Software engineering knowledge
- Library development and best practices
- System programming and understanding operating systems
- Multithreading and multiprocessing

Nice to haves:
- ML/AI knowledge
- Code optimization and profiling (vectorization, caching, ...)
- Computer vision algorithms understanding and familiarity

About Luxonis

Our mission is to improve the engineering efficiency of embedding performant, spatial AI + CV into products. We do this by building and maintaining the open-source DepthAI ecosystem (more here) which is also now the OpenCV AI Kit (here).

In other words, we build the core technology that allows human-like perception in real products - allowing 0-to-1 applications in nearly every industry. The technology allows solving problems that need human-like perception, but say in a 1" cube. A good external writeup about Luxonis is on Bloomberg

‍We are enabling what was science-fiction as of 2017:
‍

Wearable devices that perceive the world and allow the blind to perceive through soundscapes
Embedded systems that can automatically protect endangered species
Robots that enable organic farming with zero chemicals (by using lasers to target weeds and pests)
Perception built into heavy machinery to real-time protect the health and safety of workers.
Perception built into remote areas to autonomously monitor and protect the environment from leaks and other hazardous conditions.
New forms of communication devices - bridging the gap between the in-person experience and the Zoom experience.

The above are just quick examples. There are countless solutions to fascinating problems being built off of our platform, with 15,000 devices shipped to date, in the hands of thousands of companies, some of which are working to integrate our technology into their own products.

We are a small startup with aims to have an outsized impact on the world. Still in the earliest stages, the solutions built with our technology have been covered in every top news, tech, and science publication in the world (Forbes, WSJ, Bloomberg, Washington Post, Engadget, etc.). We hold the records (independently) for the largest KickStarter raise for a computer vision project, for an AI project, and for a printed circuit board project.

Our mission is to materially improve the engineering efficiency of the world. This is what our team (and backers) previously did in another market (in business WiFi, with UniFi). And we now aim to do the same for this super-power of human-like perception in embedded systems - making it so prototyping with this power takes hours, and implementing it into a product is as fast as an enclosure can be designed and produced

All positions report directly to the CEO, Brandon Gilles.

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