채용

Sr. Staff Software Engineer, AI Software IOT
San Diego, California, United States of America
·
On-site
·
Full-time
·
4mo ago
필수 스킬
Machine Learning
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals.
In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack within the Qualcomm AI Runtime (QAIRT) SDK, focused on IOT domain. You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures.
You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills. In this role you will lead feature development, provide guidance to junior team members, and make decisions impacting your direct area and the broader work group. You will collaborate with cross-functional teams to deliver robust, scalable AI software solutions, and contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Responsibilities:
- As the AI software lead, you will be hands-on and leading the team responsible for ensuring AI SDK support for a variety of IOT product platforms.
- Drive feature development and enhancements needed in the Qualcomm AI Stack SDKs for IOT products.
- You will work closely with the rest of the AI software team and with other teams within Qualcomm involved in supporting IOT platforms.
- Decision-making is significant in nature and affects work beyond the immediate work group. You will provide supervision/guidance to other team members, and you will participate in strategic planning for integrating the Qualcomm AI Stack SDKs into IOT products.
- You will also have to keep up with the fast-paced development happening in industry and academia to continuously enhance our solution from a software engineering as well as a machine learning standpoint.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- 8+ years of industry and general software development experience
- Proficiency in software development using C/C++
- Experience with Linux or Unix based OS systems software development environment
- Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
- Ability to work independently with no supervision
- Ability to lead a software team and effectively collaborate with cross-functional teams to deliver robust, scalable AI software solutions
- Excellent communication skills (verbal, presentation, written).
- Ability to convey complex and detailed information to multiple audiences and high-level stake holders
- Ability to make decisions and construct plans with incomplete information
Preferred Qualifications:
- Master’s Computer Science, Computer Engineering, or Electrical Engineering
- Software development experience with Python
- Experience with Windows software development environment
- Experience building embedded software applications
- Experience debugging complex problems across multiple layers of hardware, OS, compiler, and drivers
- Experience with different Neural Network architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
- Experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
- Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT)
- Experience with agile software development practices and git based SCM
- Ability to collaborate across a globally diverse team and multiple interests
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:
$178,400.00 - $267,600.00
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 소개

Qualcomm
PublicInventing the technologies the world loves.
10,001+
직원 수
San Diego
본사 위치
$136B
기업 가치
리뷰
3.7
10개 리뷰
워라밸
2.8
보상
3.5
문화
3.2
커리어
4.0
경영진
2.5
65%
친구에게 추천
장점
Good benefits and compensation
Great working atmosphere and colleagues
Challenging and interesting projects
단점
Poor work-life balance
Toxic culture and leadership issues
Increasing pressure and micromanagement
연봉 정보
21개 데이터
Junior/L3
Junior/L3 · Data Scientist
0개 리포트
$196,000
총 연봉
기본급
$150,000
주식
$33,000
보너스
$13,000
$166,600
$225,400
면접 경험
9개 면접
난이도
2.6
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
뉴스 & 버즈
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