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Staff Engineer- AI/Machine Learning R&D

Qualcomm -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

BCS
Doctoral degree
Computer Science
UNIX
Git
Information Systems
Research
Master's degree
C++
SoC
Docker
C
Bachelor's degree
Machine learning
Systems engineering
AI
Communication skills
Python

Full job description

Company:

Qualcomm India Private Limited

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 Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Qualcomm Global SoC Machine Learning Research team in Bangalore is actively seeking candidates for positions for developing AI/ML based EDA solutions for SoC applications. These solutions will help Qualcomm create chips that deliver the best power, performance and area, while minimizing compute and designer effort. The ideal candidate has a MS or PhD in EE/ECE/CS, and 3-10 years of experience in building EDA tools and/or applying AI/ML techniques to complex optimization problems. Familiarity with optimization algorithms for VLSI problems such as placement, routing, timing analysis and power optimization is a strong plus. The most important attributes for this role are strong inter-personal and communication skills, ability to work with a global team, a positive attitude and intellectual curiosity.

Description:

Work with internal customers to understand the SoC design problem and translate into specification of software, algorithms and AI/ML models that need to be built
Design and develop high-performance optimization algorithms and AI/ML solutions
Test and deploy software implementations of these solutions, and incorporate customer feedback into improving the solutions

Skills:

SW engineering, UNIX, Python, C/C++, git, docker
Graph algorithms, combinatorial algorithms, optimization

SOC domain and AI/ML background are a strong plus

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 [email protected] 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).

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 Qualcomm Careers .

Apply Now

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