Nuvia
General Summary:
Job Description
Job Overview:
Qualcomm's Chip Architecture multi-site team of hardware, software architects and systems engineers are driving analysis and defining next-generation architectures for our system-on-chip (SoC) products for the smartphone, tablet, connected camera, wearable, IoT, Automotive and other product categories. We have exciting & dynamic technical positions available in the following areas of expertise: Digital SoC systems, CPU, DSP, GPU, Machine Learning, Multimedia, Compute, Performance and Power.
Skills/Experience:
BS Degree required, MS or PhD degree in related field highly desired
SOC Architecture background with system design experience involving embedded software on a large scale SoC systems
Experience or Education involving hardware, micro-architecture and software
Excellent communication and interpersonal skills
Demonstrated ability to collaborate on projects with multiple teams and disciplines
Outstanding critical thinking skills, ability to ask probing questions and desire for continuous learning
Ability to develop and improve methodologies for experiments and analysis in the specific area of expertise
Description:
A successful candidate will engage collaboratively across the company with core Hardware design & verification, Software, Marketing and product planning teams to architect market-leading SoC solutions with best-in-class performance and power. The candidate will drive efforts to develop and prototype new system solutions and approaches. These products will empower customers with a new class of powerful emerging workloads like augmented reality, virtual reality, machine learning, automotive, and IoT. These products will empower customers with a new class of powerful emerging workloads like that involve machine learning & AI models to support smart context solutions across various technologies like smartphones, IoT, wearables & automotive. This candidate will be in a highly visible position with an excellent opportunity to influence Qualcomm's technical direction, to lead the industry and change the world!
Possible Assignments Depending on Area of Expertise:
The successful candidate will engage collaboratively across the company with core HW design & verification, SW, marketing, and product planning teams, to:
Architect market-leading smartphone, tablet, connected camera, wearable, IoT, Automotive and other SoC products with best-in-class performance and power
Conduct hands-on workload analysis including algorithm optimization and analysis of performance and/or power characterizations to help define our SoC architecture plans.
Collaborate with HW and SW teams to define best-in-class multimedia, modem, compute and memory technologies.
Deploy simulators, profilers, or even real hardware to provide quantitative justification for architectural directions.
Directly apply computer architecture knowledge of CPUs, GPUs, DSPs, cache coherency, virtual memory, etc.
Effectively communicate experimental results, review with technical leads and peers, analyze outstanding issues.
Creatively overcome obstacles to obtain the answers to architectural questions.
Invent and file patents on technical solutions to relevant problems.
Collaborate within a rapidly growing and world-class computer architecture team!
Minimum Qualifications
- Bachelor's degree in engineering, Information Systems, Computer Science, or related field.
- 7+ years Systems Engineering or related work experience.
Preferred Qualifications
Areas of Expertise (the more the better):
Candidates should have one or more of the following areas of knowledge and/or expertise:
SoC / Computer Architecture
Multimedia Systems
Information security
Power management techniques
Digital Hardware Design
Verification/Test
Operating systems
Data structures
Embedded Systems
Serial Buses & WiFi/BT communication protocols
SystemC/C++
Graphics Architecture/systems
Power and/or performance optimization, simulation and modeling
ARM CPU/Neon Algorithm Design/Optimization
DSP Algorithm Design/Optimization
GPU Exposure/Experience
Open CL/GL Exposure
Linux/Android Exposure/Experience
Perl/Python/Other Scripting Knowledge
Machine Learning
Minimum Qualifications:
• Bachelor's degree in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience.*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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