Camera Digital Engineering Lead

Stack

Responsibilities

• ▹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/SystemVerilog or VHDL) for camera, ISP, computer vision, and multimedia hardware
• ▹Run synthesis and review results to meet PPA (performance, power, area) goals
• ▹Perform and review CDC, low-power, timing, and design rule checks
• ▹Work closely with design verification and physical design teams on test planning, debug, and design closure
• ▹Create and maintain micro-architecture and design documentation
• ▹Oversee design and delivery of an internal benchmark suite for LLMs used in hardware design and GenAI-assisted workflows
• ▹Oversee agentic AI solutions for hardware design, enabling AI-driven assistance across RTL development, review, debug, and verification
• ▹Identify, prototype, and drive impactful GenAI research directions for hardware and chip design
• ▹Coach team members, set clear expectations, and contribute directly to technical execution

Requirements

• ▹Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field
• ▹Strong hands-on ASIC RTL design experience
• ▹Proficiency in Verilog/SystemVerilog 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 in engineering workflows
• ▹Strong communication skills and effective cross-functional collaboration
• ▹Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering and 6+ years of experience (or Master's +5 years, or PhD +4 years)

Nice to have

• ▹Experience with SystemC or hardware modeling
• ▹Prior ASIC implementation experience with camera or image processing IP
• ▹Experience defining or maintaining benchmarking and evaluation frameworks for ML/LLM systems
• ▹Familiarity with agentic AI frameworks or tools for code generation, review, or analysis
• ▹Scripting experience (Python, TCL, Perl, shell) supporting RTL or GenAI flows

Soft skills

What we offer

• ▹Competitive pay: $179,000–$268,400 annually (range varies by location)
• ▹Annual discretionary bonus program
• ▹Annual RSU grant opportunity
• ▹Broad benefits package

About the company

As a leading technology innovator, Qualcomm builds camera and imaging solutions across Mobile, Automotive, XR, IoT, and Compute, powered by human and computer vision technologies.