With the first batch of production chips almost complete, I would anticipate a few of the 'small engineering companies' mentioned by Peter to start advertising shortly. Judging by the ad below it looks like this process has just begun.

This new ad from Intellisense Systems indicates they are looking for someone capable of working with 'cutting edge neural network architectures for deployment on neuromorphic processors'. But importantly this appears to be for commercial applications and not R&D, so it's fair to say only Akida currently meets these requirements.

Pure speculation, DYOR

https://www.indeed.com/viewjob?jk=b882b0f98ab2f8d8&tk=1f9r2vga43083000&from=serp&vjs=3

Research Scientist (Augmented/Artificial Intelligence)

Full Job Description

Intellisense Systems innovates what seemed impossible. We are a fast-growing Southern California technology innovator that solves tough, mission-critical challenges for our customers in advanced military, law enforcement, and commercial markets. We design, develop, and manufacture novel technology solutions for ground, vehicle, maritime, and airborne applications. Our products have been deployed in every extreme environment on Earth!

We are looking for an exceptional researcher to join our artificial/augmented intelligence (AI) team. The AI team works to translate state-of-the-art machine learning and deep learning techniques for government customers and DoD applications.

As part of the team, you will work alongside other experienced AI scientists and engineers to develop novel cutting-edge solutions to several challenging problems. From creating experiments and prototyping implementations to designing new learning algorithms, Research Scientists work on challenges in computer vision, RF signal classification, hardware optimization, target tracking, and sensor processing in multiple domain areas.

Projects You May Work On:

• Real-time object detection, classification, and tracking
• RF signal detection, classification, tracking, and identification
• Fully integrated object detection systems featuring edge processing of modern deep learning algorithms
• Deep learning based super-resolution
• Optimization of cutting-edge neural network architectures for deployment on neuromorphic processors

What You'll Do:

• Design, develop, and implement novel computer vision algorithms or RF signal classification algorithms for unique use cases.
• Formulate new solutions and write proposals to solve customer problems and lead those projects.
• Apply experience in using modern programming, modeling, and simulation tools (e.g. C/C++, Python,TensorFlow, PyTorch, OpenCV libraries, etc.) for object detection, tracking, classification and recognition, point-cloud/solid-model conversion, and other processing algorithm/systems developments to contribute to R&D programs.
• Understanding of developing designs or prototypes that incorporate hardware components (optical, electronics, mechanical)
• Work with government and non-government representatives to ensure the system integration and fielding requirements are understood and addressed.
• Provide technical write-ups related to system, hardware, and software development on bids and proposals.
• Other duties as assigned.

What You'll Bring:

• PhD Physics, Computer Science, Robotics, Applied Physics, Electrical Engineering, or Applied Mathematics
• At least 3 years of experience in computer vision, algorithm development, and/or algorithm hardware optimization.
• Proficiency in python and C/C++
• Must be able to design, simulate and prototype novel algorithmic approaches to computer vision problems
• Must demonstrate proficiency and knowledge in design, test, evaluation, and analysis of algorithms/software/hardware architecture.
• Must be able to successfully contribute and lead multiple programs simultaneously, achieving required results on time and on budget
• Ability to present technical concepts and designs to Senior Management and customers.
• Must have excellent technical writing, verbal communication, and presentation skills.
• US Citizenship is required

Nice To Have’s:

• Experience with deep learning and common DL frameworks (e.g. TensorFlow, PyTorch)
• Experience with some of the following standard computer vision tasks: object detection, target tracking, image enhancement, video processing
• Experience with deploying algorithms on embedded hardware such as NVIDIA Jetson SoC and microcontrollers.

What You Could Expect:

• The freedom to take risks, to innovate, and to be rewarded
• Partner with trusting leadership that approaches tasks and requests with urgency
• Deliver products that are continually recognized as industry disruptors