招聘
必备技能
Linux
Machine Learning
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 So Cs 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.
Basic Qualifications
- 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.
Preferred Qualifications
- 10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Hands-on experience with embedded Linux Yocto distribution for custom BSP development.
- Strong knowledge of thermal management, power optimization, and performance tuning.
- Proven experience with high-speed interfaces including USB, eMMC, NAND, and PCIe.
- Proficiency with low-speed interfaces such as Pinmux, GPIO, SPI, I2C, UART, and PWM.
- Solid understanding of ARM security architecture, including ARM Trust Zone technology.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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