3 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Develop system-level solutions for Windows AI platforms and resolve complex integration and performance issues.
- Profile and optimize system performance for low latency and low power using DSP architecture and microarchitecture-level techniques.
- Collaborate with hardware, firmware, tools, architecture, and test teams to evaluate trade-offs and drive performance-improving features.
- Develop high-performance AI solutions for third-party Windows application developers.
- Benchmark AI tools, workflows, models, and competing platforms.
- Improve AI model performance, efficiency, and accuracy on Windows Snapdragon platforms.
Requirements
- Bachelor’s or Master’s degree in computer engineering, electrical engineering, computer science, or a related field.
- 3-7 years of experience in AI/ML application development; the posting notes multiple levels of openings.
- Strong programming skills in C, C++, and Python.
- Experience architecting, designing, and implementing frameworks for complex heterogeneous or multiprocessor systems.
- Understanding of the end-to-end AI software stack, including model development, optimization, deployment, and hardware acceleration.
- Hands-on experience optimizing AI models for performance, power, and accuracy on CPUs, GPUs, and NPUs.
- Understanding of CNNs, RNNs, Transformers, and ensemble methods.
- Proficiency with PyTorch, TensorFlow, ONNX Runtime, and MLIR.
- Strong written and verbal communication skills and the ability to learn, think critically, and adapt in a fast-paced environment.
- Preferred experience with processor-specific optimization and profiling tools, Qualcomm FastRPC, Windows MCDM drivers, transformer models such as BERT, GPT, T5, and Llama, large language models, foundation models, middleware, or AI application system software.
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About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.