
Inventing the technologies the world loves.
GPU Research Engineer- AI (San Diego / Boxborough )
必須スキル
Python
Machine Learning
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > GPU ASICS Engineering
General Summary:
Qualcomm’s GPU Research Team is seeking innovative GPU architects to advance state-of-the-art capabilities in Artificial Intelligence (AI),Machine Learning (ML), and **General-Purpose GPU (GPGPU)**computing. This is a unique opportunity to design next-generation GPU architectures that power everything from mobile devices to Windows on Snapdragon (WoS) compute platforms and large-scale data center GPUs.
This team is open to location Boxborough as well.
What You’ll Do
- Collaborate with other GPU architects to design new hardware features and enhance existing GPU architectures for accelerating GPGPU, ML, and AI workloads.
- Develop architectural solutions for diverse platforms, including mobile,WoS, and data center GPUs.
- Work closely with software teams,hardware design teams,standardization bodies, and internal/external partners to deliver cutting-edge solutions.
- Participate in open-source GPGPU/ML/AI projects and contribute to industry-leading initiatives.
- Influence the evolution of GPU capabilities for advanced use cases such as **large language models (LLMs)**and large vision models(LVMs).
Required Skills:
- Strong understanding of GPU architectures,programming models, and application domains.
- Proficiency with APIs such as OpenCL,CUDA,Vulkan, or Direct3D 12.
- Solid programming skills in C/C++.
- Familiarity with Python is a strong plus.
Preferred Skills:
- Hands-on experience in development, debugging, and optimization of CUDA and OpenCL kernels, as well as GPU compute shaders.
- Deep understanding of quantization techniques and data types for large language models (LLMs) and large vision models (LVMs).
- Experience designing GPU hardware features for ML/AI acceleration.
- Contributions to well-known open-source projects with a proven track record.
- Experience with open-source projects such as llama.cpp,vLLM, or similar frameworks is a big plus.
Minimum Qualifications:
- 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.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$161,800.00 - $242,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
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Qualcommについて

Qualcomm
PublicInventing the technologies the world loves.
10,001+
従業員数
San Diego
本社所在地
$136B
企業価値
レビュー
3件のレビュー
3.0
3件のレビュー
ワークライフバランス
3.0
報酬
2.0
企業文化
2.5
キャリア
3.5
経営陣
2.0
45%
知人への推奨率
良い点
Opportunity to work at reputable company
Interesting work and new skill development
Strong brand name recognition
改善点
Low compensation compared to market rates
Poor communication from employees
No benefits provided
給与レンジ
21件のデータ
Junior/L3
Junior/L3 · Data Scientist
0件のレポート
$196,000
年収総額
基本給
$150,000
ストック
$33,000
ボーナス
$13,000
$166,600
$225,400
面接レビュー
レビュー8件
難易度
2.8
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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