Camera DV Engineer; Location_ San Diego and Santa Clara

Company:

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Camera Engineering

Qualcomm is a global technology innovator, driving digital transformation and enabling next-generation experiences that shape a smarter, more connected future. As a Camera Engineer at Qualcomm, you will work at the cutting edge where hardware design, verification, and artificial intelligence converge. Your contributions will power ideas that impact everyday life— creating everlasting connected memories and advancing human and computer vision technologies across Mobile, Automotive, XR, IoT, and Compute platforms.

This role offers the opportunity to influence the development of innovative devices that redefine how the world sees and interacts.

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ 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 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

• Engage in technical discussions with Design, Verification, Implementation, and CAD teams to identify opportunities for improving VLSI workflows.
• Partner with stakeholders to define AI-driven solutions that reduce time-to-market and enhance design efficiency.

• Design, develop, and integrate automation flows leveraging AI and machine learning for VLSI design and verification processes with Measurable KPI’s
• Ensure scalability and robustness of AI-enabled workflows across multiple tool chains.
• Optimize performance and reliability of deployed solutions to meet stringent VLSI design requirements.

• Provide technical guidance and training to engineering teams on AI-enabled automation flows.
• Document best practices and create knowledge-sharing resources to foster adoption of AI solutions.

• Explore emerging AI technologies, algorithms, and methodologies relevant to semiconductor design.
• Prototype and validate AI-based solutions for tasks such as design optimization, verification coverage, and predictive analysis.
• Monitor industry trends and incorporate cutting-edge AI techniques into existing workflows.

• Strong foundation in AI/ML algorithms, with hands‑on any one of the supervised/unsupervised learning, deep learning, and reinforcement learning techniques.
• Proficiency in any one of the Python and ML frameworks such as Tensor Flow, PyTorch, or Scikit-learn.
• Good understanding of VLSI design flows, including RTL design, synthesis, verification, and physical implementation.
• Experience with EDA tools (e.g., Synopsys, Cadence, Mentor Graphics) and scripting for automation.
• Familiarity with data engineering for large-scale design datasets and feature extraction is a plus.
• Strong analytical and problem‑solving skills.
• Excellent communication and documentation skills for technical concepts.

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 disability‑ 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).

EEO

Employer:

Qualcomm is an…