ASIC Packaging Engineer, Annapurna Labs ID -3038
Description
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
Key job responsibilities
As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.
- Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.
- Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.
- Perform lint and clock domain crossing quality checks on the design.
- Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks.
You Will Thrive In This Role If You
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Data Entry, $40/hr, Part-Time, Remote, Weekend Job
Remote Data Entry, $35/hr, No Experience, Evening/Night Job
Virtual Assistant, No Experience, $40/hr, Remote, Part-Time
Virtual Assistant, $40/hr, Evening, Remote, College Student
Remote Data Entry, $40/hr, No Degree, Weekend, Night Job
Virtual Assistant, Remote, $35/hr, Part-Time, Night Shift
Phone Job, $50/hr, Remote, No Degree, Part-Time, Weekend
Remote Phone Job, $40/hr, Night Shift, College Student Friendly
Virtual Assistant, $40/hr, Remote, No Degree, Night Job
Part-Time Data Entry, $40/hr, Remote, College Student Friendly
Live Chat Support, $50/hr, Remote, Night Shift, No Degree
Live Chat Support, $35/hr, Remote, Night Shift, No Degree
Remote Data Entry, No Experience, $40/hr, Part-Time
Virtual Assistant, $35/hr, Part-Time, Remote, Weekend Job
Data Entry, $50/hr, Remote, Evening Job, College Student
Remote Moderator, No Degree, $50/hr, Evening, Weekend Job
Virtual Assistant, $40/hr, Remote, Night Shift, No Experience
Live Chat Support, $50/hr, Remote, No Experience Required
Virtual Assistant, Remote, $40/hr, Evening, No Experience
Phone Support, Remote, $35/hr, No Experience, Night Shift
Remote Phone Support, $45/hr, Night Job, College Student
Remote Customer Support, $42/hr, Weekend, No Experience
Data Entry, $45/hr, Remote, Evening, No Experience Required
Remote Data Entry, No Experience, $40/hr, Part-Time
Remote Data Entry, $42/hr, Evening/Night Job, No Experience
Data Entry, $40/hr, Remote, Evening, No Experience Required
Virtual Assistant, Remote, $40/hr, Weekend, No Experience
Phone Support, Remote, $50/hr, No Experience, Part-Time
Phone Support, Remote, $50/hr, No Experience, Part-Time
Virtual Assistant, $40/hr, Remote, No Experience, Evening
Customer Support, $40/hr, Weekend Job, Remote, No Degree
Remote Data Entry, $40/hr, Evening/Night Job, No Experience
Customer Support, $50/hr, Night Job, Remote, No Experience
Phone Support, Remote, $50/hr, No Experience, Part-Time
Virtual Assistant, Remote, $40/hr, Weekend, No Experience
Phone Job, $50/hr, Remote, No Degree, Part-Time, Weekend
Live Chat Support, $45/hr, Part-Time, Remote, No Degree
Remote Customer Support, $40/hr, Night Job, No Experience
Remote Data Entry, $42/hr, Evening/Night Job, No Experience
Live Chat Support, $40/hr, Weekend, Remote, No Degree
Remote Phone Job, $40/hr, Part-Time, No Experience Required
Data Entry, $40/hr, Evening Job, No Experience, Remote
Remote Customer Support, $50/hr, Night Shift, No Degree
Virtual Assistant, Remote, $45/hr, Evening, No Experience
Part-Time Customer Support, $40/hr, Remote, College Student
Remote Data Entry, $40/hr, Evening/Night Job, No Experience
Remote Live Chat, $35/hr, College Student, No Experience
Virtual Assistant, $40/hr, Remote, No Degree, Night Job
Remote Data Entry, $40/hr, Evening/Night Job, No Experience
Remote Data Entry, $35/hr, No Experience, Evening/Night Job
Remote Phone Support, $45/hr, Evening, No Experience Required
Customer Support, $42/hr, Weekend Job, Remote, No Degree
Remote Phone Job, $40/hr, Part-Time, No Experience Required
Remote Live Chat, $50/hr, College Student, No Experience
- Are familiar with scripting in Python
- Are proficient with assertions
- Have good debug skills to analyze RTL test failures
- Have a "Learn and Be Curious" mindset
About The Team
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. 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’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Basic Qualifications
- B.S. in Electrical Engineering or related technical field
- 3+ years in RTL design for SOC
- 3+ years in VLSI engineering
Preferred Qualifications
- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
- Experience with automation and scripting languages such as Python
- Familiarity with data path design, interconnects, AXI protocol
- Good analytical, problem solving, and communication skills
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.