$209,300 - $313,900 USD yearly
Originally posted 23 October 2026 by the employer.
About the role
This role involves architecting and developing fingerprint sensing solutions within Qualcomm's Fingerprint Sensor team for mobile devices. The work centers on system-level analysis, hardware/software interface optimization, algorithm validation, and firmware refinement across edge and corner conditions.
What you'll do
- Architect end-to-end system solutions and define system integration requirements for fingerprint sensing technologies across mobile product platforms. - Optimize hardware/software interfaces and drive schemes to improve system performance and efficiency. - Lead algorithm development and validation by integrating sensor physics with data analysis to enhance accuracy and robustness. - Develop hardware specifications for ASICs, sensors, and module-level components. - Characterize and optimize system performance under edge and corner conditions through firmware development, testing, and system-level validation. - Collaborate with cross-functional hardware, software, firmware, and product engineering teams to integrate designs into high-volume consumer products.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 6+ years of Systems Engineering or related experience (or Master's degree with 5+ years, or PhD with 4+ years). - Experience in systems engineering, including system-level analysis, design architecture, and performance validation. - Proven track record of developing models, code, or simulations to address hardware and software system challenges.
Nice to have
- Master’s degree or Ph.D. in Computer Science, Electrical Engineering, or related field. - 7 years of Mixed Signal Design and Systems Engineering or related work experience. - Experience with algorithm development, validation, and system-level performance characterization. - Familiarity with ASIC specifications, sensor physics, or module-level design. - Experience with CMOS sensor design with TFT/LTPS technologies. - Hands-on experience using Cadence, SPICE, MATLAB, Verilog/VHDL, Python, and laboratory test equipment.
Skills: fingerprint sensing, ASIC, sensor physics, algorithm development, system integration