Qualcomm
Camera DV Engineer (Multiple Location_ San Diego and Santa Clara)
Qualcomm, San Diego, California, United States, 92189
Camera DV Engineer (Multiple Locations - San Diego and Santa Clara)
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Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Camera Engineering General Summary 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.
Minimum Qualifications
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.
Principal Duties And Responsibilities Cross-Functional Collaboration
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.
AI-Driven Automation Development
Design, develop, and integrate automation flows leveraging AI and machine learning for VLSI design and verification processes with measurable KPIs.
Ensure scalability and robustness of AI-enabled workflows across multiple toolchains.
Optimize performance and reliability of deployed solutions to meet stringent VLSI design requirements.
Training and Support
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.
Research and Continuous Innovation
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.
Skill Set
Strong foundation in AI/ML algorithms, with hands‑on experience in supervised, unsupervised, deep learning, and reinforcement learning techniques.
Proficiency in Python and ML frameworks such as TensorFlow, 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‑accomodations@qualcomm.com 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).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay Range And Other Compensation & Benefits $148,300.00 - $222,500.00
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.
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Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Camera Engineering General Summary 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.
Minimum Qualifications
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.
Principal Duties And Responsibilities Cross-Functional Collaboration
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.
AI-Driven Automation Development
Design, develop, and integrate automation flows leveraging AI and machine learning for VLSI design and verification processes with measurable KPIs.
Ensure scalability and robustness of AI-enabled workflows across multiple toolchains.
Optimize performance and reliability of deployed solutions to meet stringent VLSI design requirements.
Training and Support
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.
Research and Continuous Innovation
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.
Skill Set
Strong foundation in AI/ML algorithms, with hands‑on experience in supervised, unsupervised, deep learning, and reinforcement learning techniques.
Proficiency in Python and ML frameworks such as TensorFlow, 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‑accomodations@qualcomm.com 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).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay Range And Other Compensation & Benefits $148,300.00 - $222,500.00
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.
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