Lead Engineer Senior - LPAI Systems

Location: Bangalore, Karnataka, India

Department: Systems Engineering

Work Location: onsite

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Qualcomm is the world's leading developer of next-generation of always connected Edge-AI processing technology and is committed to building a world-class organization that will lead the industry.

Be part of the team developing next generation Audio and Always On / Edge AI subsystems and platforms.  The ASIC Audio/Edge AI Systems Engineer is responsible for system architecture definition activities supporting a sophisticated multimedia Low Power Audio/Edge AI subsystem across a broad range of mobile, XR, compute, and automotive products.

Candidates will be responsible for all aspects of the ASIC hardware architecture definition/validation including the following:

• Owning end to end system architecture
• Capturing detailed technology requirements working closely with product, hardware and software engineering teams
• Developing detailed ASIC system architectures to support requirements and authoring subsystem hardware specifications
• Defining architecture validation plans and reviewing development results
• Optimization and debug via modelling, system simulation and testing across key criteria including power and performance.
• Collaborating, reviewing and enabling design and system teams to execute on dependent specifications
• Post-silicon commercialization support and customer engineering documentation
• Defining and patenting novel architectures that drive industry leadership.

Job Function:

• Oversees hardware architecture for ASIC systems development for a variety of products.
• Determines architecture design, and validation via system simulation.
• Defines module interfaces/formats for simulation.
• Evaluates all aspects of the HW architecture flow from high-level development to validation and review.
• Analyzes equipment to establish operation data, conducts experimental tests, and evaluates results.
• Uses System tools, such as, MathWorks MATLAB, SIMULINK, VISIO and other toolboxes.
• Uses language such as HDL, C/C++, System C, Perl, Python.
• Provides technical expertise for next generation initiatives.

Minimum Qualifications:

Bachelor's degree in Science, Engineering, or related field and 10+ years of ASIC design, verification, or related work experience.

OR

Master's degree in Science, Engineering, or related field and  8+ years of ASIC design, verification, or related work experience.

OR

PhD in Science, Engineering, or related field.

Principal Duties and Responsibilities:

• Leverages experience in DSP, machine learning algorithms, SoC hardware and computer architecture concepts to develop proposals to address system audio and edge-AI requirements using processor, memory, bus and low-power design techniques.
• Uses expertise in low-power design methodology, optimization and validation using various CAD tools and design techniques to optimize system power.
• Leverages experience in digital system performance analysis and systems modelling to ensure performance goals met.
• Leverages Verilog/VHDL and digital hardware design tools such as Synopsys/Cadence/Mentor ASIC design and simulation tool sets, power analysis and simulation, scripting languages (Python, Perl, TCL, C, etc.) to optimize system.
• Effectively utilizes advanced problem solving and ASIC engineering practices to resolve complex architecture, design, or verification problems.
• Writes technical documentation and provides technical expertise for design or project reviews and project meetings.
• Acts as a tech lead on small to large projects and owns team deliverables of the project.

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.

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