Job description

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: This role is an advanced development position within the Location Technology Systems Engineering organization. The successful candidate will contribute to the design, development, and commercialization of next‑generation location solutions for high‑volume commercial products. The position involves system‑level ownership of location technologies, spanning algorithm development, performance analysis, optimization, and cross‑functional collaboration to bring robust and scalable location capabilities into production. Key Responsibilities • Design, simulate, and develop location system algorithms and architectures spanning multiple positioning technologies • Perform system‑level modeling, performance prediction, and tradeoff analysis across accuracy, robustness, latency, power, and scalability • Develop and optimize algorithms for multi‑sensor and multi‑technology fusion , combining information from GNSS, inertial sensors, terrestrial signals, and vision‑based inputs • Analyze and mitigate location error sources , including signal propagation effects, multipath, interference, sensor noise, and receiver implementation limitations • Collaborate closely with algorithm, software, hardware, and product teams to drive implementation, integration, and commercialization of location technologies • Support bring‑up, validation, and performance analysis using real‑world data across diverse environments (indoor, outdoor, urban, and challenging conditions) Required Skills • Strong background in location systems, navigation, or related fields • Solid understanding of estimation theory and probabilistic state estimation , including Kalman filtering or related techniques • Proficiency in Python for algorithm development, modeling, data analysis, and performance evaluation • Ability to work across disciplines and communicate complex technical concepts effectively Preferred Qualifications • Experience with multi-constellation muti-frequencies GNSS positioning • Experience with terrestrial positioning technologies , such as cellular‑based positioning, Wi‑Fi positioning, or other radio‑based ranging and fingerprinting approaches • Familiarity with vision‑ or camera‑based positioning , including visual odometry, visual‑inertial navigation, or feature‑based localization concepts • Experience with multi‑sensor fusion and system‑level algorithm development • Experience applying machine learning techniques , such as learning‑based modeling, classification, regression, or data‑driven performance enhancement • Background in signal processing , sensor modeling, and large‑scale data analysis • Experience taking algorithms from research or prototyping into product‑quality implementations Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 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). To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. 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 : $134,500.00 - $201,700.00 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 .

Requirements

Must-haves

Qualcomm Technologies, Inc.
Engineering Group, Engineering Group > Systems Engineering
Design, simulate, and develop location system algorithms and architectures spanning multiple positioning technologies
Perform system‑level modeling, performance prediction, and tradeoff analysis across accuracy, robustness, latency, power, and scalability
Develop and optimize algorithms for multi‑sensor and multi‑technology fusion , combining information from GNSS, inertial sensors, terrestrial signals, and vision‑based inputs
Analyze and mitigate location error sources , including signal propagation effects, multipath, interference, sensor noise, and receiver implementation limitations
Collaborate closely with algorithm, software, hardware, and product teams to drive implementation, integration, and commercialization of location technologies
Support bring‑up, validation, and performance analysis using real‑world data across diverse environments (indoor, outdoor, urban, and challenging conditions)
Strong background in location systems, navigation, or related fields
Solid understanding of estimation theory and probabilistic state estimation , including Kalman filtering or related techniques
Proficiency in Python for algorithm development, modeling, data analysis, and performance evaluation
Ability to work across disciplines and communicate complex technical concepts effectively
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field.
$134,500.00 - $201,700.00
If you would like more information about this role, please contact Qualcomm Careers .

Nice-to-haves

Experience with multi-constellation muti-frequencies GNSS positioning
Experience with terrestrial positioning technologies , such as cellular‑based positioning, Wi‑Fi positioning, or other radio‑based ranging and fingerprinting approaches
Familiarity with vision‑ or camera‑based positioning , including visual odometry, visual‑inertial navigation, or feature‑based localization concepts
Experience with multi‑sensor fusion and system‑level algorithm development
Experience applying machine learning techniques , such as learning‑based modeling, classification, regression, or data‑driven performance enhancement
Background in signal processing , sensor modeling, and large‑scale data analysis
Experience taking algorithms from research or prototyping into product‑quality implementations

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Keywords to mirror

pythonmachine learningrest

Platform: eightfold
Effort: medium

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