Embedded AI System Engineer
Tasks
- Configure Xen hypervisor on ARM x86 and SoC
- Configure containerization and VM orchestration for edge deployment
- Contribute to open source virtualization initiatives
- Debug profile benchmark and tune embedded platforms
- Design embedded AI platforms
- Develop AI ML workloads for edge
- Develop low level software drivers BSP device tree bootloader integrations
- Implement secure workload isolation
- Integrate Linux RTOS with virtualized systems
- Optimize performance boot time memory allocation interrupt latency
Perks/Benefits
- N/A
Skills/Tech-stack
ARM Cortex | ARM Cortex A | ARM Cortex-R | BSP | Bootloader | Buildroot | C# | C++ | CI/CD | Cortex A | Cortex-R | Deterministic performance | Device tree | Docker | Docker orchestration | Driver Development | Embedded Linux | Execution environments | FPGA | Fault-tolerant | Fault-tolerant systems | Functional Safety | GPU Acceleration | Hardware-assisted virtualization | IEC 61508 | ISO 26262 | Interrupt Handling | KVM | Kubernetes | Linux Kernel | Memory Management | NPU acceleration | ONNX | PyTorch | Python | QEMU | RTOS | Real Time | Real-time Systems | Resource partitioning | Secure Isolation | System on chip | TensorFlow | TensorRT | Time Systems | Trusted Execution Environments | Trusted execution | Virtualization | Xen hypervisor | Yocto
Education
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