Embedded & Systems Software
$145,600 - $218,400 USD yearly
Originally posted 12 November 2026 by the employer.
About the role
As a Staff Engineer for Embedded Sensor Systems & Physical AI at Qualcomm, you will work across sensor hardware, embedded electronics, firmware, signal processing, characterization, and system integration. You will drive sensing technologies from early evaluation through prototype development, embedded integration, and system demonstration for robotics, XR, mobile, and IoT applications.
What you'll do
- Lead the architecture, development, and validation of sensor systems for robotics, XR, mobile, IoT, and Physical AI applications.
- Design and build embedded sensing platforms for sensor bring-up, data acquisition, real-time processing, characterization, control, and system validation.
- Develop sensor characterization and calibration methodologies, including automated test infrastructure and performance metrics for noise, sensitivity, accuracy, latency, bandwidth, power, reliability, drift, and robustness.
- Develop and debug hardware, firmware, and low-level software spanning sensors, analog/digital interfaces, MCUs/SoCs/DSPs/FPGAs, communication interfaces, and embedded processing.
- Architect and evaluate multimodal sensing and sensor-fusion solutions combining tactile, force, proximity, motion, vision, audio, and environmental sensing modalities.
- Collaborate with robotics, controls, AI/ML, silicon, software, and systems teams to integrate sensing with perception, actuation, manipulation, and HMI.
What you'll need
- Bachelor's degree in Science, Engineering, or a related field with 4+ years of ASIC design, verification, validation, integration, or related work experience (or Master's degree with 3+ years, or PhD with 2+ years).
- Experience in ASIC design, verification, validation, integration, or related engineering work.
Nice to have
- Hands-on experience developing sensor systems, embedded hardware, or sensor-based platforms.
- Understanding of sensor signal chains, characterization, calibration, noise, data acquisition, and system integration.
- Experience developing embedded firmware/software using C/C++ and/or Python, and integrating sensors with MCU, SoC, DSP, FPGA, or similar platforms.
- Hands-on experience designing and debugging PCBs, sensor modules, embedded platforms, laboratory instrumentation, and system-level prototypes.
- Experience with sensor technologies such as tactile, capacitive, resistive, piezoelectric/piezoresistive, optical, magnetic, ultrasonic, MEMS, force/torque, pressure, proximity, inertial, or multimodal sensing.
- Experience integrating sensing with embedded compute platforms, including ARM or RISC-V MCUs, DSPs, FPGAs, embedded Linux, RTOS, or heterogeneous SoCs.
- Familiarity with robotics software and simulation environments such as ROS 2, Isaac Sim, MuJoCo, MoveIt, MATLAB/Simulink, or similar platforms.
Skills: embedded, sensors, firmware, C/C++, MCU, calibration
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