高通
Computer Vision & AI Engineer, Up to Senior Level
Computer Vision & AI Engineer, Up to Senior Level
发布于 大约 2 个月前普通员工/个人贡献者
Taipei, Taipei City, Taiwan
中级经验
全职员工
仅现场办公
硕士
软件工程
Machine Learning
Qualcomm
PyTorch
TensorFlow
AI 估算 · 30k–50k
Senior-level role at a top tech company in Taiwan; competitive salary based on industry standards for AI/computer vision enginee
职位详情
关于这个职位
This role involves developing advanced AI and deep learning algorithms for embedded systems in smartphones, IoT, and XR. You will design system architectures for computer vision SDKs and optimize deep learning models for efficient on-device execution.
最低要求
Master's or PhD degree in Electrical Engineering, Computer Science, or closely related field.
+ years of professional experience in computer deep learning software development.
+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other frameworks.
Excellent knowledge of C++ and object-oriented programming.
Excellent software design, problem solving and debugging skills.
Solid background in software development, Computer Vision or Computer Graphics.
Solid background in machine/deep learning fundamental knowledge and mathematics.
Proficiency in C/C++ and Python programming.
工作职责
System architecture design and development of computer vision SDK and applications on Android/Windows/Linux platforms.
Develop efficient deep learning architectures and models.
优先资格
Professional experience in GUI and gstreamer development.
Expertise in VAE, GAN, diffusion, transformer, Gaussian Splatting, NeRF, U-Nets, ResNets.
Experience with deep learning model pruning, compression, and quantization for edge devices.
Experience with LLM code assistants.
Experience with Qualcomm platforms (SNPE, QNN, QAIRT).
Excellent communication skills.
Self-motivated and strong desire to learn new technologies.
Team player.
AI 洞察
优缺点分析
优点
- Work on cutting-edge AI for consumer electronics with global impact.
- Access to Qualcomm's hardware platforms and resources for innovation.
- Competitive compensation and benefits at a leading semiconductor company.
- Collaborate with world-class researchers and engineers.
- Requires strong multi-disciplinary skills (CV, ML, systems) which can be demanding.
- Fast-paced environment with rapid technology evolution.
- May involve tight deadlines for product releases.
- Experienced engineers passionate about embedded AI and computer vision who enjoy hands-on algorithm development and system integration.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to senior engineer or architect roles within Qualcomm's multimedia R&D.
- Transition to specialized areas like on-device AI, XR, or autonomous systems.
- Opportunity to lead projects and mentor junior engineers.
- Design and develop system architectures for computer vision SDKs on mobile and embedded platforms.
- Implement and optimize deep learning models for performance and efficiency on Qualcomm hardware.
- Strong programming in C++ and Python for algorithm development.
- Deep learning framework expertise (PyTorch, TensorFlow) for model building and deployment.
- Solid understanding of computer vision and machine learning fundamentals.
- Experience with system-level software design and debugging.
申请策略
- Tailor your resume to demonstrate both CV/ML research and engineering implementation skills.
- Prepare to discuss trade-offs between model accuracy and latency on resource-constrained devices.
- Emphasize experience with deep learning model deployment on edge devices.
- Highlight projects involving computer vision, especially for mobile or embedded systems.
- Show proficiency in C++ and Python with performance optimization examples.
- Mention any familiarity with Qualcomm platforms or similar hardware SDKs.
- If lacking, gain hands-on experience with PyTorch/TensorFlow for model compression and quantization.
- Brush up on system-level programming (Android NDK, Linux kernel) if rusty.
面试指南
- Use STAR method for behavioral questions: Situation, Task, Action, Result.
- For technical questions, outline the problem, propose multiple solutions, and justify your choice with trade-offs (speed, accuracy, memory).
- How would you optimize a deep learning model for real-time inference on a mobile phone?
- Describe a complex computer vision algorithm you implemented from scratch.
- Given a memory constraint, how do you decide which layers to quantize?
- How do you debug a performance bottleneck in a C++ deep learning pipeline?
- Explain the Transformer architecture and its applications in vision.
- Review classic CV topics: filters, feature extraction, object detection, segmentation.
职位点评
69
综合评分
Senior CV/AI engineer role at Qualcomm Taiwan: high skill development, good pay, but on-site with no explicit WLB.
更适合这类人
Candidates who prioritize career growth, cutting-edge technology, and competitive compensation over work-life balance.
表现最好
成长发展
相对薄弱
工作生活
薪资福利80
成长发展85
工作生活50
使命价值60
薪资福利
80较高
Compensation is likely competitive for the semiconductor industry in Taiwan, with good benefits typical of large multinationals.
薪资信号未披露（AI估算：30K-50K/月）
成长发展
85较高
The role offers exposure to state-of-the-art AI technologies and proprietary Qualcomm platforms, with opportunities to work on diverse applications.
技术前沿前沿/新兴技术
技术栈Computer Vision、Deep Learning、Transformer、Diffusion、Gaussian Splatting、NeRF、LLM
业务类型ambiguous
工作生活
50较低
Work mode is likely on-site in Taipei, with no explicit WLB signals; typical for R&D roles.
工作模式未明确
办公地点市区核心地段
加班情况未提及（无法判断）
使命价值
60中等
Working on AI for consumer electronics can be meaningful but the direct social impact is moderate.
行业发展高速增长赛道
社会影响中性/一般
创新程度积极采用新技术
Watch Jobs