Software Defined Radio (SDR) Engineer

About the role

We're hiring one experienced engineer for an urgent, active project: building our in-house SDR-based GNSS/GPS receiver stack for automotive SoC platforms. This is a GNSS-focused role.

Key responsibilities

• Develop GNSS/GPS receiver software: digital down-conversion, signal acquisition, code/carrier tracking, navigation message decoding, and PVT.
• Integrate GNSS RF front-end ICs/modules and related software stacks.
• Evaluate GNSS/IMU modules and support raw-measurement vs. integrated PVT architecture decisions, including GNSS/INS fusion.
• Write embedded drivers, middleware, and HAL layers for GNSS front-ends on Linux/QNX/Android automotive SoCs.
• Optimize GNSS DSP pipelines — including porting kernels to Qualcomm Hexagon DSP cores.
• Test in the lab and field for positioning accuracy, time-to-first-fix, and tracking sensitivity.

Requirements and Good to have:

• Prior relevant industry experience in GNSS/GPS signal processing, DSP, or embedded systems.
• BS/MS in EE, Telecom, CS, or related field.
• Proficient in C/C++.
• Strong in GNSS/GPS signal processing (acquisition, tracking, PVT, RTK/PPP) or a closely related DSP/embedded background.
• GNSS chipset/IC maker experience (e.g. receiver ASIC/SoC design, firmware, or applications engineering).
• Multi-constellation receiver design, RTK/PPP positioning, GNSS/INS sensor fusion.
• GNSS RF front-end ICs/modules and digital IF interfacing.
• Qualcomm Hexagon DSP: Hexagon SDK, QuRT/QDSP6, HVX intrinsics, FastRPC, profiling on Snapdragon Automotive/SA8xxx.
• Linux/QNX/Android driver or HAL experience.
• SDR tools (GNU Radio, USRP/HackRF).

Benefits

• Work on live automotive programmes spanning ADAS, IVI, and autonomous driving — security decisions you make directly affect products on the road.
• Access to a purpose-built CyberLab with real ECU hardware, vehicle networks, and dedicated test infrastructure.
• Collaborate with a global team across Singapore, Shenzhen, Germany, and Japan on next-generation AI-assisted cybersecurity toolchains.
• Direct interface with OEM and Tier-1 supplier security teams — building expertise no pure-lab environment can offer.