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AI​/ML Camera Lead Engineer

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Qualcomm
Full Time position
Listed on 2026-09-12
Job specializations:
  • Engineering
    Hardware Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 179000 - 268000 USD Yearly USD 179000.00 268000.00 YEAR
Job Description & How to Apply Below

Company:
Qualcomm Technologies, Inc.

Job Area:
Engineering Group, Engineering Group >
Camera Engineering

General

Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Camera Engineer you will work on ideas that touch our daily life – creating everlasting connected memories and assist in building innovative devices through human and computer vision technologies in the Mobile, Automotive, XR, IoT & Compute space.

You will have limitless opportunities to learn, grow and lead the world of Imaging. Team is hiring across levels.

Camera / ISP Hardware Design
  • Collaborate with system and camera architects to define and implement micro‑architectures for image and video processing pipelines
  • Design, implement, and own ASIC IP blocks, from architecture through RTL delivery
  • Develop high‑quality RTL (Verilog/System Verilog or VHDL) for camera, ISP, computer vision, and multimedia hardware
  • Run synthesis and review results to ensure performance, power, and area (PPA) goals are met
  • Perform and review CDC, low‑power, timing, and design rule checks
  • Work closely with design verification and physical design teams to support test planning, debug, and design closure
  • Create and maintain micro‑architecture and design documentation
GenAI for Hardware Design
  • Oversee the design and delivery of an internal benchmark suite for LLMs used in hardware design and GenAI‑assisted workflows, with clearly defined KPIs and regression tracking
  • Oversee the design and delivery of agentic AI solutions for hardware design, enabling AI‑driven assistance across RTL development, review, debug, and verification workflows
  • Identify, prototype, and drive measurably impactful GenAI research directions for hardware and chip design
  • Guide GenAI concepts from R&D into internal deployment, ensuring technical rigor and practical value
  • Serve as a technical leader by coaching team members, setting clear expectations, and contributing directly to technical execution
Required Skills
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
  • Strong hands‑on experience with ASIC RTL design
  • Proficiency in Verilog/System Verilog or VHDL
  • Solid understanding of ASIC design flows, including synthesis, timing, CDC, and low‑power analysis
  • Experience with camera/ISP, image processing, video, multimedia, computer vision, or DSP hardware
  • Proficiency in Python (and/or C++/Java) for tooling, automation, and GenAI evaluation workflows
  • Practical experience with LLMs, embedding models, or agentic AI systems applied to engineering workflows
  • Strong communication skills and ability to work effectively in cross‑functional teams
Preferred Skills
  • Experience with SystemC or hardware modeling
  • Prior ASIC implementation of camera or image processing IP
  • Experience defining or maintaining benchmarking and evaluation frameworks for ML/LLM systems
  • Familiarity with agentic AI frameworks or tools used for code generation, review, or analysis
  • Scripting experience (Python, TCL, Perl, shell) supporting RTL or GenAI flows
Minimum Qualifications
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field AND 6+ 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 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  • PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field AND 4+ years of Software Engineering, Hardware…
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