Sensors Systems Engineer

Qualcomm

Santa Clara (CA)

On-site

USD 142,200 - 213,200

Full time

14 days+

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Benefits offered by this job

Competitive annual discretionary bonus program
Annual RSU grants
Comprehensive benefits support

Job summary

Qualcomm is seeking an innovative engineer focused on developing state-of-the-art algorithms for sensor fusion using DSP and ML/AI techniques. The role encompasses the entire product life cycle within the engineering group, particularly in multimedia systems for smartphones and IoT devices.

Candidates should have a degree in Electrical or Computer Engineering and experience in digital signal processing. Competitive compensation includes a base salary of $142,200 to $213,200, plus bonuses and comprehensive benefits.

Qualifications

  • Bachelor's degree in Engineering or related field and 2+ years of experience.
  • Experience in DSP and ML-based sensor fusion.
  • Hands-on experience with algorithm implementation.

Responsibilities

  • Develop algorithms for sensor fusion using DSP and ML/AI techniques.
  • Balance performance, power consumption, and complexity.
  • Collaborate with global teams on development and testing.

Skills

Digital signal processing
Machine learning
C/C++ implementation
MATLAB
Python

Education

Bachelor’s, Master’s or PhD in Electrical or Computer Engineering

Tools

MATLAB
Python

Job description

Qualcomm Technologies, Inc.

Engineering Group – Multimedia Systems

Job Summary

Sensors‑based technology is applied to navigation, gaming, smart user interface, multimedia, virtual reality, and augmented reality. This role focuses on advanced AI‑and signal‑processing sensor solutions embedded in smartphones, automotive, IoT, smartwatches and other consumer electronics. The position covers the entire product life cycle from early R&D to commercial deployment and works alongside systems, software and integration/test engineers in the QCT sensors group.

Responsibilities
  • Develop state‑of‑the‑art algorithms for single and multi‑sensor fusion using DSP and ML/AI techniques, typically with MATLAB and Python.
  • Balance performance, power consumption and computational complexity.
  • Create reports on algorithm evaluation, validation, benchmarking and documentation.
  • Collaborate with global development and test teams.
  • Implement solutions in C/C++ for Qualcomm platforms.
  • Design fixed‑point algorithms for hardware implementation.
Preferred Qualifications
  • Bachelor’s, Master’s or PhD in Electrical or Computer Engineering or related area (or equivalent experience).
  • Experience with digital signal processing, adaptive filtering, Kalman filtering, linear algebra, probability & statistics, and machine learning concepts (supervised & unsupervised).
  • Experience in DSP‑ and ML‑based sensor fusion using accelerometer, gyroscope, and magnetometer data.
  • Publications in signal processing/AI.
  • Hands‑on experience implementing algorithms in software and hardware and debugging.
Minimum Qualifications
  • Bachelor’s degree in Engineering, Information Systems, Computer Science or a related field and 2+ years of Systems Engineering or related work experience.
  • or Master’s degree and 1+ year of Systems Engineering or related work experience.
  • or PhD in Engineering, Information Systems, Computer Science or a related field.
Benefits

Pay range: $142,200.00 – $213,200.00. Additional compensation includes a competitive annual discretionary bonus program and annual RSU grants. Comprehensive benefits support work, home and play.

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. Contact disability‑accommodations@qualcomm.com for assistance.

EEO Statement

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.

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