דרושים Worldwide Specialist - Genai Sagemaker ב-אמזון ב-United States, Austin

The Role:
In this role you will:
· Implement wireless system architecture in silicon from system specification to chip specification to RTL to optimizing timing / power to chip level validation.
· Develop solutions optimizing customer experience (throughput, latency, and availability) while meeting power and cost constraints.
· Drive high quality designs for first-time right silicon solutions, and meeting the power objectives
· Create standalone verification test bench to verify the correctness of your block.
· Work with the verification team and participate in System level verification using test benches constructed using UVM, System C and DPI-C.
· Ensure that the block meets DFT, timing and power targets by working closely with the implementation team.
· Learn about requirements and solutions for systems operating in space
· Drive trade-off analysis to benefit customer experience and optimization of resources (costs, power, spectrum).Export Control Requirement:
Key job responsibilities
- Engage with architects and system engineers to drive hardware micro-architecture.
- Lead design of 1 or more DSP data path modules in System Verilog. Able to interpret reference models in MATLAB.
- Involve in control plane logic design and interfaces to bus fabrics.
- Explore and propose innovative ideas and work towards optimization of the modem.

. Bachelor's degree in Electrical / Communications Engineering or related field, or equivalent experience.
· 7+ years in FPGA digital logic design, preferably in DSP or communication systems.

. Master's or Ph.D degree in Electrical / Communications Engineering.
· 10+ years in FPGA digital design, preferably in communication systems

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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 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.

- 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

This position can be located in Austin, Seattle, or Arlington (DC).**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 computing platform for GenAI practice.- 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.- 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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Recent and demonstrable hands-on experience with AI/ML workloads.

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of AWS services, market segments, customer base and industry verticals
- Experience working with end user or developer communities

Key job responsibilities- Partner directly with AWS customers to help them understand the implementation of AWS security requirements and how they can achieve ongoing assurance over their security, resilience, and compliance needs- Be and remain connected with industry trends throughout the world as it relates to industry regulations and requirements.
- Develop and maintain personal relationships with key industry personnel and policy makers.
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

- 5+ years of professional or military experience
- 3+ years of design, implementation, or consulting experience in applications or infrastructures
- 8+ years within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
- 7+ years of experience in the design, implementation and operation of complex systems
- 5+ years of experience in an information security or compliance role

- Experience working internationally and being able to confidently traverse different corporate cultures
- Deep understanding of cloud computing
- Demonstration of innovative security, resilience and compliance approaches to solve complex security, resilience and compliance challenges
- Experience and proficiency in public speaking and can hold own in senior-level presentations and discussions
- Experience defining security, resilience and compliance strategies, and ensuring that committed outcomes are delivered on schedule
- A degree in computer science, MIS, engineering or related discipline, and relevant industry certifications (CISSP, CISA/M, CIPP/CIPM/CIPT)

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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 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.

- 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Key job responsibilities
Strategic customer engagement:Adoption program development:Track and analyze adoption metrics to measure effectiveness and identify areas for continuous improvement.Product feedback loop:Collect and communicate customer feedback, insights, and requirements directly to AWS Go-To-Market and product teams.
Diverse ExperiencesAmazon 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.Work/Life BalanceMentorship and 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.

- Bachelor’s degree in Computer Science, Engineering, Math, or a related field or 5 years of product management or go-to-market, or sales experience.
- 5+ years of Contact Center Solutions.
- 10+ years in the technology industry focused on customer success or in go-to-market roles, or management consulting serving high-tech clients on go-to-market topics
- Experience engaging and influencing senior customer executives, technologists and/or partners to solve complex business problems with advanced technologies
- Fluency in English and two other languages.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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 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.

- 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)