Si GPU Functional Debug Engineer(Lead/Staff) at Qualcomm Technologies Inc Turkey

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

0.0

Posted On

08 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Hardware Engineering, GPU Functional Debug, RTL Design, Micro-Architecture, Debugging, SoC Architectures, Power Concepts, Performance Concepts, Scripting Languages, JTAG, Kernel Debuggers, Cross-Functional Collaboration, Problem Solving, Analytical Skills, Communication Skills, Experimentation

Industry

Telecommunications

Description

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware 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 Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Qualcomm graphics is the best in the mobile GPU world with the best perf/watt, perf/area and in raw performance. The GPU team has well established RnD teams from Architecture and Design to Post Silicon Validation and Functional Debug in Bangalore. The team delivers on products from the Snapdragon 800 series to the low tier 200 series. You will be joining a successful engineering department whose deliveries can be found in billions of smartphones, wearables. Based out of Qualcomm’s Bangalore office, this role is for GPU Functional Debug of Final Silicon issues for Snapdragon MSMs. You will be part of GPU system bring -up team and focus on the root cause the real time functional issue observed/reported in Silicon. Pulling on your design knowledge and technical expertise, you solve technical issues in all projects to ensure smooth execution across projects. As part of your role, you will work with Architecture, Design, DV, emulation, SW driver to understand about GPU architecture, design , System level scenario and further use those knowledge for solving GPU functional issues. Key Responsibilities Drive Functional GPU issue reported by internal SW testing or external customers. Participation on the reproduction of the issue in the lab in Windows/Android/Auto platforms and analyzing the symptoms. Building hypothesis based on symptoms of failures, devising experiments to check the hypothesis and arrive at the root cause of the issue Communication to Design, DV, SW, HLM and other teams to advance the root cause, solving the Si issues. Develop new processes and methodologies / tools to improve time to root cause. Taking initiative of enhancing the debug architecture of GPU core. Preferred Qualifications 4 to 10 years of experience working in RTL Design (Micro-Architecture) or Systems experience in GPU or CPU or multimedia IP. Candidates are expected to have experience in: Should have a proven track record to work with multidomain, across site teams. GPU pipeline knowledge is preferred Experience in debugging low level hardware Design issues, and working closely with design, verification, and software simulator teams. Have good understanding of modern SoC architectures. Basics of Power, performance concepts and able to articulate the tradeoffs Exposure to Debug tools like JTAG and kernel debuggers Exposure to at least one of scripting language e.g. Perl, Python, or Java 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). 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.

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Responsibilities

Drive functional GPU issues reported by internal software testing or external customers. Participate in reproducing issues in the lab and analyze symptoms to determine root causes.