Lead AI & ML Camera Systems Engineer

MaC VC; San Diego (CA); On-site; USD 187,000 - 280,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks a Camera Engineer to push imaging forward across mobile, automotive, XR, and IoT platforms. You will help craft micro-architectures, implement RTL, and drive hardware design for camera/ISP systems, collaborating with cross‑functional teams.

The role emphasizes GenAI-enabled workflows, verification, and continuous improvement, with opportunities to mentor peers and influence technical strategy in a fast‑paced environment.

Qualifications

• Bachelor's degree in Electrical/Computer Engineering or related field with 6+ years of experience.
• Strong hands-on experience with ASIC RTL design and Verilog/SystemVerilog or VHDL.
• Understanding of synthesis, timing, CDC, and low-power analysis.
• Experience with camera/ISP, image processing, or DSP hardware.
• Proficiency in Python and tooling for GenAI evaluation workflows.

Responsibilities

• Define and implement micro-architectures for image/video processing pipelines.
• Design, implement, and own ASIC IP blocks, from architecture through RTL delivery.
• Develop high-quality RTL for camera, ISP, computer vision, and multimedia hardware.
• Run synthesis and review results to ensure performance, power, and area (PPA) goals are met.
• 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.

Skills

ASIC RTL design

Verilog/SystemVerilog

Python

C++/Java tooling

GenAI experience

Cross-functional teamwork

DSP/image processing

SystemC

Education

Bachelor's degree in Electrical/Computer Engineering or related

Master's degree in Electrical/Computer Engineering or related

PhD in Electrical/Computer Engineering or related

Tools

Verilog/SystemVerilog

VHDL

SystemC

RTL synthesis tools

EDA toolchain

Job description

Qualcomm Technologies, Inc. seeks a Camera Engineer to push imaging forward across mobile, automotive, XR, and IoT platforms. You will help craft micro-architectures, implement RTL, and drive hardware design for camera/ISP systems, collaborating with cross‑functional teams.

The role emphasizes GenAI-enabled workflows, verification, and continuous improvement, with opportunities to mentor peers and influence technical strategy in a fast‑paced environment.