Tasks / Responsibilities:
Develop, port, and optimize embedded software for TI TDAV4x using TI SDK and PSDK.
Implement and maintain software on A72 (QNX) and R5 (FreeRTOS) execution domains.
Develop and optimize QNX components, including resource managers, services, BSP-level configurations, and device drivers.
Implement and troubleshoot Inter-Processor Communication (IPC/IPCC) across heterogeneous cores (A72 ? R5).Develop and integrate QNX device drivers (SPI, I2C, UART, PCIe, Ethernet, custom peripherals).
Design, implement, and optimize FreeRTOS tasks, queues, driver interfaces, and interrupt handlers.
Collaborate with system, hardware, and architectural teams on boot flows, clocking, security, and memory configurations.
Debug system issues using Trace32, TI CCS, QNX Momentics, JTAG tools, and instrumentation tracing.
Work with development infrastructure: Docker, devcontainers, JFrog Artifactory, GitHub.Contribute to and maintain documentation using docs-as-code workflows with Sphinx and sphinx-needs.
Expected skill set(Top 5 must to have skills in the order of priority):Deep hands-on experience with TI SoCs (TDAV4x) and TI SDK/PSDKStrong expertise in QNX Neutrino RTOS (drivers, services, resource managers)
Experience with Inter-Processor Communication (IPCC) between A72 and R5 cores
Development experience on ARM Cortex-A72 (QNX) and Cortex-R5 (FreeRTOS)
Strong embedded C/C++ development and low-level debugging using Trace32, CCS, QNX tools
Good to Have skills:Safety-critical functionality development as per ISO 26262 standard.
Yocto, Linux driver development, and U-Boot customization.MISRA C, static analysis tools (PC-lint, QAC).Knowledge of OpenVX, TI Vision Apps, DSP/IVA pipelines.
Familiarity with PCIe, TSN Ethernet, CAN, and sensor interfaces.Secure boot, cryptography accelerators, HSM workflows.Performance tuning, cache/memory coherency optimization for multicore architectures.
Experience with continuous documentation workflows and DevOps practices
Special note for IJRs: Candidates with prior experience on the Ford DAT3 project will be given strong preference, as this experience directly aligns with our platform, toolchain, and automotive software integration environment.