Senior R&D Engineer, XR AI Software and Systems
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Systems Engineering
In short
Qualcomm's XR AI team in Bangalore is hiring developers to create AI tools for GEN AI and Multi Modal models for their XR and Wearables product lines. The role involves developing industry-leading AI software solutions, focusing on efficient inferencing through graph optimization, quantization, and compression techniques.
Responsibilities
- Develop AI tools for tuning GEN AI and Multi Modal models for XR and Wearables product lines.
- Develop industry-leading AI software solutions and tools for Wearable and Connected Intelligent Edge use cases.
- Focus on efficient AI inferencing through research and development of graph optimization methods, advanced quantization, and compression techniques.
- Research and develop algorithms for tradeoffs between performance, accuracy, latency, and power.
- Develop leading-edge products and solutions for hybrid AI applications.
- Define AI/ML system solutions, optimize AI models (including GenAI/LLMs/LVMs/LMMs), and ensure efficient and scalable deployment on Wearable devices.
- Survey competitor toolchains and the latest trends in industry and academia.
- Develop new and innovative ideas (e.g., IDFs) for product or feature areas.
Requirements
- Hands-on experience in ML/AI tools development involving Deep Learning frameworks like Pytorch 1.x, 2.x, Executorch, TensorFlow, ONNX, etc.
- Strong understanding of model architectures across CV, NLP, LLMs, LVMs and Multi-Modal NWs.
- Strong understanding and experience in working on inference graph optimization, Quantization, speculative and self-speculative decoding techniques, pruning and compression techniques etc.
- Understanding of performance and accuracy metrics for different classes of neural NWs.
- Hands-on Experience with Object Orientated Design, design patterns.
- Strong Python / C++ implementation skills (Skill level > 7/10).
- Strong in Data structures & Algorithms (Skill level > 7/10).
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
- OR PhD in Engineering, Information Systems, Computer Science, or related field.
Desired Qualifications
- Skills in tuning for best accuracy and performance and troubleshooting accuracy and performance issues is a plus.
- Hands on knowledge of LLM fine tuning, Quantization aware training is a plus.
- Knowledge of machine learning runtimes like ONNX Runtime, Pytorch and TF runtimes is a plus.
- Experience with GPUs, machine learning accelerators and related software is a plus.
- Knowledge of ML compilers like TVM, GLOW, XLA is a plus.
- Hands on use of version control tools like GIT, GITHUB.
Benefits
- Qualcomm is an equal opportunity employer.
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- 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.
- 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.
Skills
PytorchTensorFlowONNXPythonC++Data StructuresAlgorithmsGITGITHUB
#AI#XR#Wearables#GEN AI#Multi Modal models#Deep Learning#Systems Engineering#Software Development
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
1 week ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Senior
Locations
Bangalore, India
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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