Job summary
Job post source
This job is directly from Qualcomm
Job overview
The Low Power Engineer at Qualcomm works on advanced camera systems and imaging technologies to drive innovation in mobile, automotive, XR, IoT, and compute devices, impacting next-generation connected experiences.
Responsibilities and impact
The role involves researching, designing, developing, verifying, debugging, and optimizing complex camera hardware and software systems, collaborating with cross-functional teams, and ensuring high image quality and system performance.
Compensation and benefits
The salary range is $167,000 to $250,600, with additional competitive annual discretionary bonuses, RSU grants, and a comprehensive benefits package supporting work-life balance.
Experience and skills
Candidates need a degree in Computer Engineering, Computer Science, Electrical Engineering or related fields with 2-5+ years of relevant experience, proficiency in programming languages like C, C++, Python, and experience in image signal processing, camera hardware design, and technical leadership.
Career development
The position offers opportunities for learning, growth, and leadership in cutting-edge imaging technologies within a leading tech company.
Work environment and culture
Qualcomm promotes an inclusive, equal opportunity work environment committed to accessibility and diversity, with a focus on innovation and collaboration.
Company information
Qualcomm is a leading technology innovator specializing in digital transformation and connected experiences across multiple technology sectors including mobile and automotive.
Team overview
The candidate will join the Camera Engineering team within Qualcomm's Engineering Group, working on advanced imaging and camera system projects.
Application process
Applicants must apply through Qualcomm's Careers Site; staffing agencies are not authorized to submit applications, and accommodations are available for individuals with disabilities.
Unique job features
The role involves working on state-of-the-art camera image signal processors, advanced algorithms, and power optimization in a high-impact technical leadership capacity.
Company overview
Qualcomm is a leading global semiconductor and telecommunications equipment company that specializes in designing and manufacturing wireless telecommunications products and services. They generate revenue primarily through the sale of integrated circuits and licensing of their extensive patent portfolio, which includes essential technologies for mobile communications. Founded in 1985, Qualcomm has been instrumental in the development and commercialization of CDMA and LTE technologies, which are foundational to modern mobile networks. The company continues to innovate in areas such as 5G, IoT, and automotive technology, maintaining a strong presence in the tech industry.
How to land this job
Tailor your resume to emphasize your expertise in camera engineering, image signal processing, and low power optimization, highlighting your skills in C, C++, Python, and embedded systems as outlined in the job description.
Showcase your experience collaborating with cross-functional teams and your ability to work independently with minimal supervision, along with any leadership roles or interactions with senior leadership you've had.
Apply through multiple channels such as Qualcomm's official careers site and LinkedIn to maximize your application visibility for the Low Power Engineer position.
Connect with current Qualcomm Camera Engineering team members on LinkedIn; use ice breakers like commenting on recent Qualcomm imaging innovations or asking about their experience working on camera system optimization projects.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Image Signal Processing,' 'Camera Image Signal Processor,' 'power optimization,' 'embedded systems,' and 'algorithm development' to ensure it passes initial screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn connections, allowing you to focus your time on preparing for interviews and networking.
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