ISP Design Engineer, up to Staff
Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Inbyggda system
I korthet
Qualcomm is looking for an experienced ISP Design Engineer to architect and develop advanced image signal processing hardware pipelines for semiconductor products. This role involves defining microarchitectures, implementing datapaths, optimizing performance, power, and area, and collaborating with various engineering teams to deliver cutting-edge camera and computer vision capabilities.
Ansvarsområden
- Architect, design, and optimize ISP ASIC hardware modules for conventional and AI-based imaging algorithms.
- Translate imaging and image-quality requirements into efficient microarchitectures and datapaths, balancing image quality, throughput, latency, bandwidth, power, and area.
- Partner with imaging and AI algorithm teams to translate algorithms into hardware-efficient architectures and define implementation constraints and trade-offs.
- Develop C/C++ or SystemC models for architecture exploration, functional validation, performance analysis, and RTL or silicon correlation.
- Participate in architecture and RTL design reviews, identify implementation risks, and provide actionable recommendations.
- Collaborate with verification, physical design, firmware, and system teams to achieve functional, performance, and PPA targets throughout the silicon development lifecycle.
- Support silicon bring-up, debugging, tuning, and correlation against pre-silicon models and image-quality targets.
- Be available for business travel across APAC and China.
Krav
- Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Solid understanding of image signal processing fundamentals, including ISP pipelines, noise reduction, HDR, color processing, image enhancement, and image-quality evaluation.
- Hands-on ASIC/RTL design and implementation experience with strong knowledge of Verilog/System Verilog, microarchitecture, and data path design.
- Proficiency in C/C++ for modeling, simulation, validation, and performance analysis.
- Understanding of conventional and AI-based imaging algorithms, including their dataflow, computational complexity, numerical precision, and hardware implementation considerations.
- Knowledge of SoC architecture, memory hierarchy, bandwidth analysis, and low-power design techniques.
- Ability to review architecture and RTL designs, identify technical risks, and evaluate image quality, performance, bandwidth, power, and area trade-offs.
- Strong problem-solving and communication skills, with the ability to drive technical discussions across algorithm, hardware, software, and system teams.
Önskade kvalifikationer
- Hands-on experience in ISP, computational photography, computer vision, or AI imaging system development.
- Experience taking an imaging hardware design from architecture definition and RTL implementation through verification and silicon bring-up.
- Familiarity with camera systems, sensor pipelines, 3A (AWB/AEC/AF), and image-quality tuning.
- Familiarity with SystemC, Python, or FPGA development flows.
- Familiarity with PyTorch or TensorFlow and AI model optimization techniques, including quantization, PTQ/QAT, and fixed-point conversion.
- Product development experience in mobile, edge AI, automotive, surveillance, or camera-centric applications.
Förmåner
- Limitless opportunities to learn, grow and lead the world of Imaging.
- Qualcomm is an equal opportunity employer.
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- Qualcomm is committed to making our workplace accessible for individuals with disabilities.
Färdigheter
VerilogSystem VerilogC/C++SystemCPythonPyTorchTensorFlow
#ISP Design#Image Signal Processing#ASIC Design#Hardware Pipelines#Semiconductor#IoT#Mobile#Camera Engineering#Computer Vision#AI Imaging
Enabling a world where everyone and everything can be intelligently connected.\n\n
Företag
QualcommPublicerade jobb
för 2 veckor sedan
Anställningstyp
Heltid
Arbetsform
På plats
Erfarenhetsnivå
Mellannivå
Platser
Taipei, Taiwan
Kvalifikation
Kandidatexamen, Masterexamen, Doktorand
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