Sr Software Engineer Graviton Annapurna Labs jobs at Amazon in Israel, Tel Aviv-yafo

Key job responsibilities
* Design and implement advanced Design-for-Test (DFT) architectures for complex semiconductor platforms
* Develop high-quality test and debug patterns ensuring robust performance
* Conduct comprehensive static timing analysis across multiple DFT modes
* Verify intricate DFT logic and components with precision and creativity
* Support silicon bring-up and device diagnostic processes
A day in the lifeOur offices are located in Sarona/Tel Aviv and Matam/Haifa.About the team
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
Inclusive Team CultureMentorship 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.

- Bachelor's degree in electrical engineering, computer engineering, or equivalent
- 2+ years of experience in a semiconductor company as a DFT engineer

- Experience using multiple verification platforms: UVM test bench, FPGA, emulator, software environments, and system testing
- Experience with chip design, Verilog and System Verilog, ATPG tools, Scan insertion tools, Gate-level simulations, Static timing analysis, Scripting (Perl/Tcl)
- Familiarity with ATE
- Pro-active, oriented on execution Attentive to details and quality
- Good communications and reporting skills

* Hardware abstraction layers for CPU interfaces and system interconnects
* Ethernet link management
* DDR driver development and memory initialization
* PCIe subsystem drivers
* Bootrom and secure boot flow implementation
About AWSDiverse 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 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
- 6+ years of engineering team management experience
- 7+ years of engineering experience
- 6+ years of experience with C programming

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.For this role, Spanish and English bilingual speakers are preferred, but not required.Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
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.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer, with at least 1+ year experience with any of the following platforms: Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce.
- 5+ years experience designing and implementing at least 2 of the following contact center solutions: IVR, chat, custom reporting, quality management, agent desktop, or workforce management
- 3+ years experience in Software development/DevOps, with minimum of 3 successful deployments integrating contact center platforms with at least 2 of the following: bots, APIs, web services, or databases

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills
- Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation.

In this job you will design and develop software for functional and performance validation.Key job responsibilities
In this role you will develop system level software, targeting chip architecture, functional correctness and performance, running on various platforms and validating chip functionality.About the team
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.

- 3+ years of internship or non-internship professional software development experience
- 3+ years of internship or non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ 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

We develop technologies, work with amazingly talented engineers, and truly shape the future.Virtual platforms play a crucial role in accelerating the development process by enabling early Software development, System-Level testing, and architectural exploration without the constraints of physical prototypes.As a Virtual Platform Engineer, you will:
• Develop accurate and efficient simulation models of hardware components
• Create and maintain Virtual Platform environments for software development and system-level validation
• Debug and optimize complex hardware-software interactionsThis role requires strong communication skills and a collaborative mindset, as you'll frequently interact with various teams across AWS to deliver optimal solutions.About the team
About the team
*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 Balance*Mentorship 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.

- Bachelors/Masters degree in Computer Science, Electrical Engineering, or related disciplines.
- 3-5 years of experience
- Knowledge of SW and programming languages and concepts (OOP, OOD, data structures)
- Knowledge of computer architecture (CPUs, networking, protocols)
- Good understanding of hardware and software interaction
- Excellent problem-solving skills

- Experience in modeling language such as systemC
- Experience with Virtual Platforms tools
- Verification experience is a big advantage
- Knowledge of ARM architecture

- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 1+ years of building models for business application experience
- Experience with natural language processing and/or processing of multi-modal data (e.g. images)

- PhD
- Experience using Unix/Linux
- Experience developing, implementing, and evaluating deep learning algorithms and LLMs.

Key job responsibilities
* Participate research and development: direct or indirectly contribute to developing latest Retrieval Augmented Generation technologies, fine-tuning techniques for embedding models and LLMs
* Tool development: build and improve toolings that applied scientists would need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications.
* Expedite science to production: bridge the gap between science and engineering teams, help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one, or making components within the two interchangeable. Work towards a fast science-to-production paradigm.
* Science code quality control: serve as gate keeper, review and hold science code quality to production standard
* Manage science infrastructure: act as admin to manage all science AWS account, including patch any security risks, build templates, AWS Cops, conduct cost reduction operationsA day in the life
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.

- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Master's degree or equivalent

- 3+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- 3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience