Responsibilities
About the team
Server Research and Development team is responsible for architecting, designing, and building the best server and storage system to meet the requirements of high-performance, low cost and easy to operate. By joining this team, you will work with the best engineers and talents in this industry and have a broad opportunity to get in touch with the latest AI application system and newly emerged technology in computing , storage and silicon validation. You will gain remarkable hardware architect, development and validation experience in the most advanced hardware infrastructure at a massive scale. We are looking for a self-motivated GPU/AI Application Platform Architect with focus on giant model system optimization.
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We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with us.
Successful candidates must be able to commit to an onboarding date by end of year 2026.
Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
Responsibilities:
- Develop application benchmarks, tools and performance optimization methods for GPU/AI systems, including giant model training and inference systems such as LLM.
- Identify the system bottleneck/opportunity with deep system-level data-driven study, explore innovative options through SW-HW co-design, and lead them towards implementation to improve training and inference system efficiency.
- Develop GPU/AI system TCO model, based on application benchmark and performance optimization.
- Work with industry consortiums and open standard committees to investigate the emerging standards or technologies, and to contribute our research results to the industry.
- Work with our technology partners and suppliers to setup POC or prototypes to evaluate and test the new technologies or architectural designs.
Qualifications
Minimum Qualifications
- Final year or recent PhD graduate with a background in Electrical Engineering, Computer Engineering, Computer Science or related majors.
- Thesis topics in GPU/AI platform architecture and/or application performance optimization design or software hardware co-design.
- Deep understanding of computer system architecture, especially on GPU/AI SoC or Platform Architecture, Interconnect Fabric, and Memory sub-system.
- Experienced in GPU/AI system application performance optimization or software hardware co-design.
- Strong knowledge and proficiency in software development in C/C++, scripting languages such as Python.
- Understand the implementation of GPU/AI virtualization technology, deep learning architecture, and distributed systems.
Preferred Qualifications
- Understand LLM model architecture, familiar with training and inference requirements on accelerator/memory/network.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $119000 - $250000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.