招聘
As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies.
We are seeking a passionate Emulation Engineer to build the next generation of our cloud server infrastructure using our emulation platform. You will work closely with various teams to determine the emulation platform requirements, models needed for functional testing and automation of various workflows. You will be delivering a state-of-the-art testbench, integrate the ViP components into the SoC and ensure a high quality of the design delivered to the customers. You will be developing a strong understanding of the product and continuously raise the bar to ensuring that emulation models are functionally correct and performant.
Join us in creating the most advanced Machine Learning Accelerators in the world!
- Key job responsibilities
- Design emulation capabilities in system verilog/C/C++/Python/Shell scripts to facilitate system validation flows
- Develop scalable compile flows targeting project requirements
- Knowledge of end to end emulation compilation flows involving front end and back end synthesis
- Familiar with using emulation tool chain from Zebu, Cadence or Veloce
- Develop System Verilog modules required for integrating with standard xtors
- Experience in run time architecture of any emulation framework.
- Develop run time framework in C++ to execute compiled emulation models
- Optimize build and run times of emulation models.
- Automate system flow execution in emulation using bash/python/tcl etc.
- Work with SoC teams to learn about system flows and execute them on emulation framework
- Debug RTL failures associated with chip functionality
- Proficient with using various emulation debug technologies
- Knowledge of using gdb and other techniques to debug software failures
- Work with vendors to ensure emulation tool chain is up to date with latest technologies
A day in the life
As an emulation engineer, you would be working closely with our vendor, software, firmware, architecture, design and verification teams to design and execute system validation flows.
Basic Qualifications
- Bachelor's degree in Electrical Engineering or a related field
- Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
- Experience in developing functional specifications, design verification plans and functional test procedures
Preferred Qualifications
- Master's degree in Electrical or Communications Engineering or a related field
- Experience with formal verification techniques including abstraction and end-to-end checking
- Experience with ARM and various DSP ISAs
- Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards
- Experience with industry standard tools and scripting languages (Python or Perl) for automation
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually
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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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