MATRIX Resources is now “Motion Recruitment” and proud to combine job boards to bring the talent community even more expansive market opportunities.

Senior Machine Learning Engineer/ Hardware DOD

New York, New York

Hybrid

Direct Hire

$150k - $200k

We provide Zero Trust cybersecurity solutions for commercial industry and national defense. Our technology is based on award winning and peer reviewed research. Our culture is laid-back yet focused, and we pride ourselves on fostering an environment where employees can thrive and achieve their full potential. Our headquarters is located in a facility two blocks from the ocean in NYC. We are a dynamic and fast-paced company that is looking for talented individuals to join our team. If you're looking for a challenging and rewarding career in technology, Chip Scan is the place for you.
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About the Job
Seeking AI/ML researchers passionate about developing and applying greenfield cybersecurity defenses to the hardware industry. An ideal candidate may be a software engineer with machine learning system development expertise, excellent coding skills, a background in digital logic and hardware design, and an interest and experience in applying machine learning techniques to hardware systems. Expect to become involved in developing tools for securing computer-aided design workflows, learning and applying techniques from data science and machine learning to new areas, and above all, to be a part of defending the next generation of devices. Chip Scan delivers technologies to the Department of Defense and commercial customers. You will be contributing and participating in a small technical team.
Responsibilities and Duties
The best candidates will have experience:
  • Developing and implementing data science pipelines and applications
  • Understanding deep learning algorithms and their underlying mathematical foundations
  • Generating, collecting, and cleaning data
  • Working with infrastructure and acceleration for AI networks on-prem and in the cloud
  • Developing applications that implement, interface with, and support ML models
  • Understanding and implementing hardware systems and FPGAs
Minimum Qualifications
  • Ability to obtain and maintain an active US DoD secret clearance
  • B.S. or equivalent in math, engineering, or computer science
  • 4 years of experience in Python, C, and C++
  • Active interest in cybersecurity
Preferred Qualifications
  • Active secret clearance
  • Graduate degree in a related field
  • Reverse engineering experience
  • Graph neural networks
  • Experience in hardware development languages (VHDL, Verilog, etc.), workflow/toolchain (Lattice, Xilinx, etc.), and FPGA/ASIC design flows (CM, simulation, synthesis, P&R, scripting, V&V)

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Posted by: Paddy Beauchamp