Staff AI Systems Engineer - Edge AI & HW/SW Co-Design

OMNIVISION; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

OMNIVISION seeks a Staff AI Systems Engineer to translate AI product requirements into deployable AI solutions and drive HW/SW co-design across ML algorithms, software frameworks, compiler support, system architecture, and silicon capabilities.

You will evaluate AI workloads, study model optimization techniques, and validate architectural concepts through simulation and FPGA prototyping, collaborating with IC Design, Software, and System Engineering teams.

Qualifications

• Master's or PhD in Computer Engineering, Electrical Engineering, Computer Science, Machine Learning, or related discipline.
• 8+ years of experience in AI systems, computer architecture, machine learning deployment, semiconductor development, or related technical fields.
• Familiarity with Verilog, SystemVerilog, architecture simulation, performance modeling, and design space exploration.
• Experience with MLIR, TVM, ONNX Runtime, TensorRT, OpenVINO, or similar deployment frameworks.
• Experience with computer vision, imaging pipelines, AI-enabled sensor systems, or in-sensor / near-sensor AI applications.
• Familiarity with RISC-V Vector, SIMD architectures, or vector computing concepts.
• Publications, patents, or open-source contributions in AI systems, computer architecture, machine learning optimization, or semiconductor technologies.
• Experience leading cross-functional technical initiatives involving software, systems, and silicon teams.

Responsibilities

• Translate AI product requirements and architectural vision into deployable AI solutions.
• Drive hardware/software co-design across ML algorithms, software frameworks, compiler support, system architecture, and silicon capabilities.
• Evaluate AI workloads, perform roofline and performance bottleneck analysis, and study model optimization techniques.
• Collaborate with IC Design, Software Engineering, and System Engineering to validate concepts via simulation and FPGA prototyping.

Skills

Python

C/C++

Analytical thinking

Cross-functional communication

Education

Master's or PhD in Computer Engineering, Electrical Engineering, Computer Science, Machine Learning, or related

Tools

MLIR

TVM

ONNX Runtime

TensorRT

OpenVINO

Job description

OMNIVISION seeks a Staff AI Systems Engineer to translate AI product requirements into deployable AI solutions and drive HW/SW co-design across ML algorithms, software frameworks, compiler support, system architecture, and silicon capabilities.

You will evaluate AI workloads, study model optimization techniques, and validate architectural concepts through simulation and FPGA prototyping, collaborating with IC Design, Software, and System Engineering teams.