GPU Performance Engineer – AI Workload Focus
发布于 大约 2 个月前普通员工/个人贡献者
AI 估算 · 28k–45k
Based on Qualcomm's global compensation and Taiwan tech market, the role commands competitive salary for AI/GPU expertise.
职位详情
关于这个职位
This position focuses on optimizing GPU performance for AI workloads at Qualcomm. You will work on AI core architecture, functional modeling, and driver/compiler development for GPU products. Collaborate with cross-functional teams to ensure advanced performance and power goals.
最低要求
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
工作职责
Leverages advanced AI knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of AI cores.
优先资格
Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. 2+ years of relevant AI/CPU/NPU/GPU experience. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above). 1+ year in a technical leadership role with direct reports (only applies to positions with direct reports).
AI 洞察
优缺点分析
优点
- Work on cutting-edge AI and GPU technology at a global leader.
- Opportunity to make significant impact on next-gen products.
- Competitive compensation and benefits typical for top tech firms.
- Strong career growth in high-demand AI hardware field.
- High technical complexity and constant learning required.
- Potential for tight project deadlines and high expectations.
- Limited work-from-home flexibility based on job nature.
- Engineers passionate about AI and GPU performance, who thrive in a technically demanding environment and enjoy cross-functional collaboration.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to senior GPU architect or technical lead.
- Move into management roles overseeing AI/GPU teams.
- Become a domain expert in AI hardware acceleration across the industry.
- Architect and optimize performance and power of AI cores for GPU products.
- Build functional model simulations and develop software to verify AI model correctness.
- Develop critical driver and compiler software to support GPU products.
- Collaborate with cross-functional teams and external vendors to align implementation.
- Deep understanding of AI/GPU architecture and performance optimization.
- Proficiency in functional modeling, simulation, and testing.
- Experience with driver and compiler development.
- Strong cross-functional collaboration and communication skills.
申请策略
- Study Qualcomm's GPU and AI product lines to align your experience.
- Prepare to discuss specific examples of performance optimization you achieved.
- Be ready for technical interviews covering architecture, algorithms, and system design.
- Emphasize projects involving AI model optimization, GPU programming, or performance analysis.
- Detail experience with functional modeling, simulation tools, and driver/compiler development.
- Showcase cross-functional teamwork and leadership in technical roles.
- Highlight any publications or patents related to AI hardware.
- Deepen knowledge of GPU architecture (e.g., NVIDIA CUDA, AMD ROCm) and AI accelerators.
面试指南
- Use the STAR method for behavioral questions: Situation, Task, Action, Result.
- For technical problems, start with problem scope, then propose multiple solutions with trade-offs.
- Show systematic thinking: define metrics, measure baseline, identify bottlenecks, implement optimizations.
- How would you optimize the performance of a deep learning inference on a GPU?
- Describe a time you improved the power efficiency of a hardware accelerator.
- What is the role of a compiler in GPU performance?
- How do you approach cross-functional collaboration with different teams?
- Explain your method for debugging a performance issue in a GPU driver.
职位点评
High-impact AI/GPU role at a global tech leader with excellent development prospects but limited flexibility.
薪资福利
Qualcomm is a top-paying company with strong benefits culture. Although specific figures are not mentioned, the role likely commands a high salary and good perks.
成长发展
The role involves cutting-edge AI and GPU technologies, offering excellent skill development and career growth in a high-demand field.
工作生活
The position is site-based at Hsinchu Science Park with no mention of remote or flexible hours. Work-life balance is typical for a hardware engineering role.
使命价值
Working at a tech leader like Qualcomm contributes to advancing global connectivity and AI, but the direct social impact is moderate.
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