Company
Qualcomm India Private Limited
Job Area
Engineering Group, Engineering Group > Systems Engineering
General Summary
We are looking for a GPU AI Performance Engineer to help design, optimize, and accelerate AI workloads on GPU-based platforms. This role focuses on improving the performance, memory efficiency, and scalability of modern AI models — especially LLMs, transformer workloads, MoE models, and computer vision pipelines — by working across the stack from model architecture to compiler/runtime integration and low-level kernel optimization.
Responsibilities
Analyze and evaluate GPU architecture/microarchitecture for performance optimizations of AI workloads
Work across the AI stack, from model graphs and inference runtimes down to GPU kernels and compiler IR
Collaborate with hardware, software, and ML teams to identify performance bottlenecks and propose architectural or algorithmic optimizations
Analyze AI workload characteristics and correlate their behavior across different GPU generations
Contribute to architectural trade-off studies and influence GPU roadmap decisions with data-driven insights
Preferred Skills
Strong understanding of CPU/GPU architecture
Experience in Python, C++, and ML frameworks (e.g., TensorFlow, PyTorch)
Skills: C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog
Familiarity with AI inference runtimes and deployment stacks for model compilation, optimization, and execution on GPU/accelerator platforms
Show the full description
Good understanding of common neural network layers and operations, including what they do and how they affect model behavior and performance
Nice to have
Experience with LLM inference engines such as llama.cpp
Exposure to Triton, TTIR, TTGIR, or GPU compiler pipelines
Knowledge of quantization formats and tradeoffs
Understanding of MoE architectures
Experience with GPU driver and compiler development
Experience with OpenCL or Cuda development
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
- OR
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
- OR
- PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
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.
