You’re being taken to an external site to apply.
Enter your email below to receive job recommendations for similar positions.PROCESSING APPLICATION
Hold tight! We’re comparing your resume to the job requirements…
ARE YOU SURE YOU WANT TO APPLY TO THIS JOB?
From the resume you’ve given us, it doesn’t look like you have the required skills for this position. This will lower your chances of success when it comes to receiving a job offer.
"Job Requirements of Senior Lead - ML Audio Systems Engineer:"
-
Employment Type:
Full-Time
-
Experience:
Not Specified
-
Education:
Not Specified
-
Travel:
Not Specified
-
Manage Others:
Not Specified
-
Location:
Bengaluru, Karnataka (Onsite)
Do you meet the requirements for this job?
Senior Lead - ML Audio Systems Engineer
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. QUALCOMM is the world's leading developer of next generation wireless and multimedia technology. Immediate opportunities exist in QUALCOMM's Audio Systems Group to work in the area of Embedded Neural Processing Unit (eNPU - AI accelerator), developing embedded software for next generation low power NPU. You will be part of the Audio Systems and R&D team and develop low power AI accelerator runtime software for Qualcomm Snapdragon platforms.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
Responsibilities:
This position requires the candidate to design, implement, integrate, NN kernels for ML operators for Audio, Camera, Sensors Models offload to eNPU HW accelerator, meeting performance and power metrics.
Responsibilities also include optimizing ML inference, memory handling and computation cycles.
Requirements:
Strong programming skills in C/C++, Python
Expertise in developing and debugging software on embedded platforms
Knowledge of ML operators such as Transformers, LSTM, GRUs..
Knowledge of software design patterns and multi-threaded programming, Eg POSIX
Knowledge of computer architecture, operating systems, data structures, and basic algorithms
knowledge of fixed point coding
Knowledge of any ML frameworks pytorch, TensorFlow..
Knowledge of Model quantization and compression techniques is a plus
Working on ML inference optimizations is a plus
Experience working on any AI HW accelerator (NPU) is a plus
Proven ability to work in a dynamic, multi-tasked environment
Self-starter who likes to be challenged and solve tough complex issues
Educational Qualification:
Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed.
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to
Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found
for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.Qualcomm is an equal opportunity employer and supports workforce diversity.
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.
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.
If you would like more information about this role, please contact
. ]]>Recommended Skills
- Algorithms
- Artificial Intelligence
- C++ (Programming Language)
- Computer Architectures
- Data Structures
- Deep Learning
Help us improve CareerBuilder by providing feedback about this job:
Job ID: 3058645
CareerBuilder TIP
For your privacy and protection, when applying to a job online, never give your social security number to a prospective employer, provide credit card or bank account information, or perform any sort of monetary transaction. Learn more.
By applying to a job using CareerBuilder you are agreeing to comply with and be subject to the CareerBuilder Terms and Conditions for use of our website. To use our website, you must agree with the Terms and Conditions and both meet and comply with their provisions.