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Sr.GPU Engineer​/Architect

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Ipro Networks Pte. Ltd.
Full Time position
Listed on 2025-12-29
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 241800 - 409200 USD Yearly USD 241800.00 409200.00 YEAR
Job Description & How to Apply Below

Job Title: Sr.GPU Engineer/Architect

Position Type: Full time

Location: San Diego, CA, USA

Salary Range:$241800 - $409200 (USD)

Job #: 147766

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting‑edge R&D in AI, machine learning, and smart connectivity.

Our pioneering first‑generation NPU, utilizing DSA architecture, has successfully entered mass production. We're currently validating the architecture of our second generation and are making the strategic decision to transition towards General Purpose GPU (GPGPU) architecture.

We're completely overhauling our software stack and embracing the CUDA ecosystem. Our goal is to achieve over 90% compatibility with cuBLAS/cuDNN on Linux across PCIe and CXL connections, all while delivering at least 1.3 times the performance of existing solutions on Transformer and Stable‑Diffusion workloads.

Responsibilities
  • Software Technical Strategy – Develop and refine a comprehensive 3‑year roadmap for a software stack compatible with CUDA, encompassing Runtime, Driver, Compiler, Profiler, Debugger, and AI acceleration libraries – Define binding specifications that link our upcoming GPU ISA to CUDA APIs, ensuring forward compatibility with CUDA 12.x features – Evaluate and integrate the latest technological advancements: CUDA Graph, Transformer Engine, virtual memory management, CUDA dynamic CUTLASS 3.x,

    TMA, Blackwell FP4, among others.
  • Architecture & Design – Create a modular, layered Runtime architecture: CUDA → HAL → Kernel → Hardware, applicable across emulators, and actual silicon – Define the task launch protocol, including Queue, Stream, Event, and Graph, as well as the memory model – Design a dual‑mode (JIT & offline) compiler supporting LTO, PGO, Auto‑Tuning, and efficient PTX → ISA microcode caching – Develop GPU virtualization schemes (MIG) that work across processes and containers.
About

Us

Founded in 2009, Intelli Pro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.

Intelli Pro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, Intelli Pro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants.

Learn more about our commitment to diversity and inclusivity at

Compensation

The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, Intelli Pro provides a comprehensive benefits package, all subject to eligibility.

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