Principal Engineer, On Device Applied ML, IE-IOT

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Camera Engineering

General Summary

• 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.

Responsibilities

• 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
  
  
  

Minimum Qualifications

• 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.
  
  
  

OR

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.

OR

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.

Preferred Qualifications

• 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 TensorFlow, TFLite, Pytorch, ONNX
• Strong understanding of machine learning frameworks, tools, and technologies, with expertise in at least one major platform
  
  
  

Principal Duties And Responsibilities

• 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.
  
  
  

Level Of Responsibility

• 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 prioritization must occur to complete the tasks effectively.
  
  
  

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 [email protected] 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).

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Pay Range And Other Compensation & Benefits

$242,300.00 - $363,500.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.