Embedded Systems Engineer, Neuromorphic Computing

NeuroDoctrine; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

NeuroDoctrine seeks an experienced embedded hardware engineer to bring neuromorphic and low-power compute to edge devices. You will implement on-device inference, optimize I/O, and collaborate with ML engineers to ensure models run efficiently on silicon.

Focus is on constrained hardware and low-power performance, with preference for candidates skilled in embedded C/C++, RTOS, and ARM/FPGA features. Join a team pioneering neuromorphic solutions for edge AI.

Qualifications

• Proficient in Embedded C/C++ and RTOS or bare-metal development.
• Experience with constrained hardware design and optimization.
• Nice to have neuromorphic, FPGA, or ARM experience.

Responsibilities

• Implement on-device inference and I/O, profile power and latency, and partner with ML engineers so models actually fit the silicon.

Skills

Embedded C/C++

RTOS

Bare-metal

Constrained hardware

Neuromorphic

FPGA

ARM experience

Job description

The role

Bring neuromorphic and low-power compute into the Neural OS — hardware that has to run at the edge, on operators and platforms.

What you’ll do

Implement on-device inference and I/O, profile power and latency, and partner with ML engineers so models actually fit the silicon.

What you’ll bring

Embedded C/C++, RTOS or bare-metal, and comfort with constrained hardware. Neuromorphic, FPGA, or ARM experience is a strong plus.