Company
SystemSoftwareEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“System Software Engineer. Skills: embedded AI development, C/C++, deep learning frameworks, model deployment workflow, edge AI runtime development. Optimize CNN, Transformer, and related models for hardware architecture and deployment constraints. Build conversion tooling from PyTorch / ONNX to chip-executable representations”
Industry & Context.
problem-solving; ability to narrow down and resolve complex technical issues quickly
What They're Looking For.
Must Have
2+ years of experience in embedded AI development, C/C++ and hands-on embedded system development and debugging, Solid familiarity with deep learning frameworks (PyTorch / ONNX) and the end-to-end model deployment workflow
Nice to Have
Understanding of CNN and Transformer model optimization or operator/kernel development experience is a plus, Experience in edge AI deployment, LLM serving / efficiency (e. g. vLLM-class stacks), or AI agent development is a plus
What You'll Do.
and related models for hardware architecture and deployment constraints
Build conversion tooling from PyTorch / ONNX to chip-executable representations
Develop an edge AI runtime covering model loading
and memory management
Support customer model porting and performance tuning
Deliver tailored AI solutions
How You'll Work.
Team & Collaboration
cross-team collaboration
Full Job Description
## AI Vision Processors For Edge Applications ### _Our solutions make cameras smarter by extracting valuable data from high-resolution video streams._ **Job Description** Responsibilities * Optimize CNN, Transformer, and related models for our hardware architecture and deployment constraints. * Build conversion tooling from PyTorch / ONNX to chip-executable representations, supporting automated model deployment pipelines. * Develop an edge AI runtime covering model loading, task scheduling, and memory management, with multi-task parallel inference. * Support customer model porting and performance tuning, and deliver tailored AI solutions where needed. * Contribute to technical documentation and standards: write specifications and best practices, and help the team capture and share technical knowledge. Requirements * Bachelor’s degree or above in Computer Science, Electrical Engineering, or a related field, with 2+ years of experience in embedded AI development. * Strong C/C++ and Python; hands-on embedded system development and debugging. * Solid familiarity with deep learning frameworks (PyTorch / ONNX) and the end-to-end model deployment workflow. * Understanding of CNN and Transformer architectures; model optimization or operator/kernel development experience is a plus. * Experience in edge AI deployment, LLM serving / efficiency (e.g. vLLM-class stacks), or AI agent development is a plus. * Strong cross-team collaboration and problem-solving; ability to narrow down and resolve complex technical issues quickly.
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