Jobs

Senior Multimedia Systems Advanced Tech Engineer
San Diego, California, United States of America
·
On-site
·
Full-time
·
1mo ago
Required skills
Machine Learning
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Multimedia Systems
General Summary:
This individual independently plans, performs the moderately-defined responsibility for the design and development of technologies related to the generation or manipulation of content targeted at the human senses or machine perception. These technologies include speech, audio, imaging, computer vision, display, sensing, biometrics, optics, color science, computer graphics, and augmented/virtual reality. Analyzes use cases related to multimedia/graphics technologies and performs functional decomposition to drive requirements for implementation into hardware or software. Performs system analysis and uses simulation modeling to propose algorithmic or system modifications that enable optimization of performance, latency, and power. Designs systems-level software and hardware to design multimedia/graphics functionality under some supervision; identifies power constraints and potential tradeoffs and makes recommendations to resolve issues and produce innovation solutions. Optimizes multimedia/graphics system quality based on known models of optical acuity and human perception. Applies expertise in optics, color sciences, and graphics to map multimedia algo designs to real world performance requirements. Contributes to discussion of design reviews for subsystem development; defines design constraints for a specific project; identifies solutions to meet design targets. Collaborates with peers to design products that meet internal and/or external customer requirements and standards. Develops test environment and test cases to verify the design of a well-defined component; works with peers to evaluate the impact of results and validate software and hardware against specifications; helps to define the test plan to collect data on accuracy, reliability, performance, power, and robustness of design; organizes and plots the data to draw conclusions and present findings. Uses appropriate tools to conduct common analyses of software or hardware design. Programs an aspect of a chip (i.e., feature) under some supervision; creates new and tailors existing algorithms according to a framework. Distills lessons learned from multimedia/graphics algo work to inform chipset design roadmap. Completes complex tasks and solves issues related to the engineering and management of machine learning data with minimal guidance from more experienced engineers. Develops or adapts complex machine learning algorithms, models, or frameworks aligned with product proposals or roadmaps with minimal guidance from more experienced engineers. Conducts complex experiments to train and evaluate machine learning models independently. Contributes to technical conversations and documentation (e.g., white papers, schematics, FDD, HLDR); escalates complex technical issues to an appropriate contact (e.g., project lead, colleagues). Acts as a strong contributor at design reviews and project meetings.
Will accept a Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science, Physics or related degree field. Will also accept a Bachelor's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science, Physics or related degree field and five (5) years of progressive experience in a related occupation. Employer will accept any suitable combination of education, training or experience.
Compensation: $122,500.00 - $183,700.00/year
Applicants: 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.
If you would like more information about this role, please contact Qualcomm Careers.
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About Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
Employees
San Diego
Headquarters
$136B
Valuation
Reviews
3.7
10 reviews
Work-life balance
2.8
Compensation
3.5
Culture
3.2
Career
4.0
Management
2.5
65%
Recommend to a friend
Pros
Good benefits and compensation
Great working atmosphere and colleagues
Challenging and interesting projects
Cons
Poor work-life balance
Toxic culture and leadership issues
Increasing pressure and micromanagement
Salary Ranges
21 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$196,000
total per year
Base
$150,000
Stock
$33,000
Bonus
$13,000
$166,600
$225,400
Interview experience
9 interviews
Difficulty
2.6
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
News & Buzz
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