Embedded Software Engineer

1. Participate and lead in the software architecture design of the runtime software across multi-device and heterogeneity.
2. Apply code optimization techniques, ensuring efficient and optimized performance of the runtime software components.
3. Deliver architecture specifications to developers and articulate them effectively across stakeholders ranging from toolchain, system and hardware teams, and to technology leadership.
4. Collaborate with silicon and platform bring-up to verify and debug the AI sub-system and its delivered performance.

Requirements

Qualifications

1. Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or related field; Ph.D. is a plus.
2. 10 years of embedded software design and development on SoCs and/or ASICs.
3. Great coding skills in C/C++.
4. Great knowledge of SW architectural patterns (layered/plugin/event-driven/ microkernel/etc).
5. Good knowledge of SDLC.
6. Good knowledge of RTOS and/or Linux OS.
7. Good knowledge of multi-thread and multi-process software design and debugging.
8. Experience with embedded system involving multi-core CPU/DSP.
9. Experience with heterogeneous multi-device system involving GPU/NPU/FPGA.
10. Knowledge of debuggers (LLDB, GDB) and profilers on heterogeneous hardware system.

Preferences

1. Experience with Python is a plus.
2. Experience with ARM and/or RISCV ISA is a plus.
3. Knowledge of Linux kernel and driver development is a plus.
4. Knowledge of CNN and common NN operators/layers like Conv2D, BatchNorm, etc is a plus.
5. Knowledge of internal of inference engines like TFLite, OpenVINO runtime, ONNX runtime, TVM runtime, etc is a plus.
6. Knowledge of JTAG debugger and bare-metal bring-up is a plus.
7. Knowledge of high performance domain-specific languages (SYCL/CUDA/OpenCL) is a plus.
8. Knowledge of PyTorch or TensorFlow is a plus.
9. Knowledge of just-in-time compilation techniques is a plus.