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Amazon
The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create?
As a Sr Kernel Engineer you will help build the kernel stack and BSP for various SoCs with custom hardware accelerators to be deployed in a range of Amazon devices. You will develop software for industry standard and custom hardware IP to accelerate applications in machine learning, computer vision and robotics.
In this role you will:
- Develop and modify Board Support Package (BSP) components: This includes bootloaders (TF-A, OP-TEE, SCP, U-Boot), device drivers, kernel modules, and device tree support.
- Collaborate with architecture teams to define and implement innovative silicon features.
- Perform initial silicon and platform bring-up in both pre-silicon and post-silicon environments.
- Debug and root-cause complex issues across hardware and software interfaces.
- Partner with cross-functional teams to productize silicon solutions and ensure successful product delivery.
- Optimize OS and kernel solutions to achieve excellent performance for supported features.
- Contribute throughout product development stages including HVT, EVT, DVT, and PVT phases.
- Engage with diverse cross-functional teams to ensure seamless feature integration and alignment across hardware, firmware, and software components.- 10+ years of non-internship professional software development experience
- 10+ years of programming with at least one software programming language experience
- 10+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Hands-on experience with ARM v8/v9 architecture profiles, including understanding of instruction sets, memory models, and security features.
- Demonstrated ability to debug complex system-level issues on embedded devices, including hardware-software integration challenges.
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