AI ML Engineer
Qualcomm · Posted Oct 9
Semiconductor, 5G wireless technology, mobile platform, and AI computing solutions
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About the role
The Generative AI team at Qualcomm focuses on integrating cutting-edge GenAI models on Qualcomm chipsets, using the chips' heterogeneous computing capabilities to run inference of GenAI models on-device without cloud connectivity. Its inference engine lets developers run neural network models trained in a variety of frameworks on Snapdragon platforms at high speed and low power, covering traditional models, Large Language Models (LLMs) and Large Vision Models (LVM). This role drives development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs, optimizing large models and deploying large C/C++ software stacks for edge-based GenAI inference.
What you will do
- In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs.
- As an AI inferencing expert, you'll push the limits of performance from large models.
- Your mastery in deploying large C/C++ software stacks using best practices will be essential.
- You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment.
- Most importantly, your passion for the role of edge in AI's evolution will be your driving force.
Skills used in this role
What the employer is looking for
- Master’s/Bachelor’s degree in computer science or equivalent.
- 3+ years of relevant work experience in software development. (Bachelors)
- Strong understanding of Generative AI models – LLM, LVM and LLMs and building blocks
- Floating-point, Fixed-point representations and Quantization concepts.
- Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
- Strong development skills in C/C++
- Excellent analytical and debugging skills.
- Good communication skills (verbal, presentation, written).
- Ability to collaborate across a globally diverse team and multiple interests.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Preferred qualifications
- Strong understanding of SIMD processor architecture and system design.
- Proficiency in object-oriented software development.
- Familiarity with Linux and Windows environment
- Strong background in kernel development for SIMD architectures.
- Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus.
- Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred.
- Experience with parallel computing systems and Assembly is a plus.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Qualcomm
Qualcomm is a global leader in the development and commercialization of foundational technologies for the wireless industry, including mobile processors, 5G, and on-device artificial intelligence. The company designs and markets digital communications products, semiconductor solutions, and system software used globally across smartphones, automotive solutions, IoT devices, and computing systems. Through extensive R&D and intellectual property licensing, Qualcomm powers a highly interconnected and smarter world.
- Industry
- Semiconductors
- Company size
- 50000+ employees
- Founded
- 1985
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Funding
Public Company · $53M raised
- 2018-11-01Grant
Leadership
President and Chief Executive Officer
Chief Financial Officer and Chief Operating Officer
James H. Thompson
Chief Technology Officer
Chief Marketing Officer
Ann Chaplin
General Counsel and Corporate Secretary
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