Principal Engineer, Device Applied ML, IE-IOT

Company:

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Camera Engineering

*** This leadership role will be hybrid in San Diego, CA, Santa Clara, CA and remote within the U.S.

We are looking for an experienced hands‑on individual for our on‑device applied ML team. If you like optimizing ML models to on‑device AI accelerators to get the best power, performance and accuracy this role is for you. In IE‑IOT BU we optimize a variety of ML models:
GenAI, Vision AI, best in class LLMs, to state‑of‑the‑art VLAs (vision language action models).

Qualcomm is a company of inventors that has the best on‑device AI HW/SW in the industry. Qualcomm’s IE‑IOT BU creates the best edge‑AI solutions for Robotics, IP Cameras, Drones and on‑prem Edge AI boxes. The candidate will be working with cutting edge AI research teams inside and outside Qualcomm, responsible for evaluating, and optimizing AI models to Qualcomm’s Hexagon NPU.

• Work with world renowned customers from various fields like robotics, at home devices, drones, IP cameras, enterprise solutions and understand their ML needs.
• Analyze and optimize various ML models on various classes on Hexagon NPU.
• Understand benefit/drawback of various quantization schemes, use internal tool chains to control loading, execution and scheduling of various models.
• Perform system level analysis of concurrent ML model execution and daisy chaining ML models including Vision AI, Gen AI and VLA models.
• Provide technical leadership to R&D team.
• Coordination between cross functional/geo teams.

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 8+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 7+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

• PhD in Engineering, Information Systems, Computer Science, or related field.
• Hands on Experience with ML model optimization and analysis.
• Hands‑on low‑level programming experience with DSP, AI accelerator.
• Hands‑on knowledge of Tensor Flow, TFLite, Pytorch, ONNX.
• Strong understanding of machine learning frameworks, tools, and technologies, with expertise in at least one major platform.

• Leverages expert Camera Engineering knowledge to research, design, develop, verify, debug, implement, and/or validate highly complex camera systems, HW or FW tasks (including Camera Image Signal Processor, 3A, Image Quality, Features, and Tuning Tools), algorithms, features, logic design, modeling, design verification, and power optimization.
• Performs architecture, IQ modules, algorithm, and feature decomposition to drive highly complex requirements and specifications for hardware development.
• Ensures advanced image quality, system performance, and highly critical ISP area and power metrics are met.
• Translates customer needs and requirements into long‑term tasks and plans.
• Acts as a technical lead and facilitates collaboration across organizations to design, develop, and optimize camera systems, hardware, and/or software.
• Writes detailed technical documentation and feature descriptions for highly complex Camera projects to guide users and/or customers to implement output; reviews technical documentation for experienced engineers.

• Provides supervision to direct reports.
• Decision‑making is significant in nature and affects work beyond immediate work group.
• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
• Has a great degree of influence over key organizational decisions.
• Tasks often require multiple steps which can be performed in various orders; extensive planning, problem‑solving, and…