דרושים Principal Guidance Lead Sa Cloud Optimization Success ב-אמזון ב-United States, Austin

Utility Computing (UC)
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.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.
Key job responsibilities
- integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing
- 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.
You will thrive in this role if you:
- 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" mindsetAbout 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.

- BS degree in electrical engineering or equivalent
- 5+ years in RTL design for SOC
- 5+ years in VLSI engineering
- 5+ years with code quality tools including: Spyglass, LINT, or CDC

- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
- Familiarity with data path design, interconnects, AXI protocol
- Good analytical, problem solving, and communication skills

As a Principal Partner Innovation Lead, you will drive transformative partnerships that position AWS at the forefront of the generative AI revolution. You will architect and execute a comprehensive partner innovation strategy, focusing on deep data partnerships with growing GenAI companies, model providers, and emerging technology leaders and next-generation AI startups.This role requires you to think beyond traditional consulting engagements and build the future of AI-powered enterprise solutions. You will be creating headline-worthy partnerships that fundamentally change how enterprises leverage their data with AWS services.Key job responsibilities
- Research & Development Leadership: Drive applied research initiatives that identify emerging AI trends, evaluate new model architectures, and develop forward-looking solutions that position AWS 2-3 years ahead of market demands- Market Intelligence & Trend Analysis: Continuously monitor the GenAI landscape for consolidation trends, emerging technologies, and partnership opportunities, particularly as the market evolves toward potential duopoly scenarios
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS Global Services

- 10+ years of leading complex, large-scale, IT, technical or engineering programs experience
- 10+ years of building profitable partner ecosystems experience
- Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda
- Experience in venture capital, startup ecosystem, or technology scouting roles

- Deep understanding of enterprise data architectures and how GenAI solutions integrate with existing data infrastructure
- Experience with forward deployment engineering or embedded technical partnership models

Utility Computing (UC)
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.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.
Key job responsibilities
- integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing
- 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.
You will thrive in this role if you:
- 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" mindsetAbout 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.

- BS degree in electrical engineering or equivalent
- 3+ years in RTL design for SOC
- 3+ years of VLSI engineering
- 3+ years with code quality tools including: Spyglass, LINT, or CDC

- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
- Familiarity with data path design, interconnects, AXI protocol
- Good analytical, problem solving, and communication skills

We are seeking a talented and motivated Manufacturing Engineering Lead with a proven track record of implementing best in class processes within a complex manufacturing environment. This role will report to the Director of Engineering, and is an integral member of the Machine Learning Acceleration server development team. You will work closely with the hardware design and test engineers to implement, test and improve New Product assembly processes on the most advanced machine learning servers.
You will participate in the early phase of manufacturing line development for our next generation servers and racks to improve our manufacturing flows informing system design, manufacturing, and fleet operations.
You will manage early lifecycle changes, identify initial product quality improvements, and drive to technical root cause in supplier quality activities. The candidate will have experience in design or manufacturing and is capable of making wide-ranging business decisions on behalf of the organization.
Key job responsibilities
* Design and build an assembly line for machine learning acceleration servers.
* Test individual server components and multi-rack systems.
* Propose design changes that will enhance product manufacturability and testability.
* Guide best practices on manufacturing tolerances..
* Review external production processes, identify risk and inform improvements..
* Identify supplier quality problems; inform containment and root cause activities.
* Hire and mentor team members including design engineers and technicians.
* Evaluate production, supplier and field failures for root cause analysis and resolution.
* Travel to manufacturing and ODM development sites.A day in the life
Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

This position can be located in San Francisco, Seattle, Arlington, New York, or Austin**Must be open to travel at least 30% including international**Key job responsibilities- Develop solutions that make the best use of the AWS services like AWS EC2, EKS, ECS, SageMaker and other communications platform for interactive voice response (IVR), automatic call distribution, and integration with other AWS services for data storage and analytics.- Provide one-to-few and one-to-many training sessions to transfer knowledge to builder considering or already using AWS.- Build deep relationships with senior technical individuals within partners to enable them to be cloud advocates.- Hands on experience and be able to develop proof-of-concepts for solutions involving AWS services.
- Driving product integrations between partner products and AWS services
- Proving thought leadership in the form of publishing blog posts, public speaking, white papers and reference architecturesA day in the life- Building and testing a Proof of Concept (PoC) or create a code sample.
- Writing a blog post or white paper.AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 3+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 4+ years of IT development or implementation/consulting in the software or Internet industries experience
- 2+ years of experience with Unified Communications and Collaboration role involving the design, development, and implementation of complex voice/video solutions. Recent and demonstrable hands-on experience with AI/ML, GenAI workloads.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities

- Are enrolled in or have completed a PhD in computer science, machine learning, engineering, or related fields
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience with natural language processing and/or processing of multi-modal data (e.g. images)

- Experience using Unix/Linux
- Experience in professional software development
- Experience with training and evaluating LLMs

Utility Computing (UC)
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.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.
Key job responsibilities
- integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing
- 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.
You will thrive in this role if you:
- 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" mindsetAbout 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.

- B.S. in Electrical Engineering or related technical field
- 5+ years in RTL design for SOC
- 5+ years of VLSI engineering
- 5+ years with code quality tools including: Spyglass, LINT, or CDC

- 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