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We're looking for an exceptional senior Chip Design Engineer to join our Nitro team and help shape what comes next. You'll work alongside a world-class, fast-moving engineering team, take full ownership of critical IP blocks, and see your work deployed at a scale no other platform can match- powering hundreds of thousands of businesses across 190 countries.

As a Senior Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers us at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.

Key job responsibilities
* Full ownership of one or more IPs within the product:
Micro-architecture definition.
RTL coding and debug.
Synthesis and timing closure.
Sign-off before tape-out.
* Supporting the Verification and Emulation teams: Test plan development, coverage review.
* Ensuring the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical Design.

Reequired Product Analyst
Working in data is about finding what nobody else knew they lost. We want investigators, people who adapt, think flexibly, and know how to bring leadership onboard. From scientists to engineers to visualization experts, our data team is made for those who find the missing piece and act on it. So if curiosity is your default setting and making it useful your priority, the Data team might be what you're looking for.
Working in data is about finding what nobody else knew they lost. We want investigators, people who adapt, think flexibly, and know how to bring leadership onboard. From scientists to engineers to visualization experts, our data team is made for those who find the missing piece and act on it. So if curiosity is your default setting and making it useful your priority, the Data team might be what you're looking for.
What am I going to do?
Own analytics across core product areas and user flows
Analyze product performance and derive actionable insights
Plan, run, and analyze A/B tests end-to-end, including experiment design, metric definition, and impact analysis
Partner closely with Product Managers and Engineering teams as the data focal point for product decisions
Build and maintain analytical foundations, including tracking, events, funnels, and data processes
Proactively monitor key metrics, identify trends or anomalies, and communicate insights to stakeholders
Create visibility through reports, dashboards, and alerts to support ongoing decision-making
Lead deep-dive analyses and broader business research as needed.

We're looking for a Senior Design Verification Technical Lead- a design verification technical lead that is responsible for complex SoC sub-system, with cutting edge technology for Graviton server SoC.
It starts at product definition- we engage from day one, shaping requirements and translating product intent into verification strategies before a single line of RTL is written.
It extends into software- we work side-by-side with SW teams, verifying hardware-software interfaces and ensuring seamless integration across the stack.
It reaches into physical design- we verify physical design aspects within functional verification, bridging the gap between logical correctness and silicon reality.
It closes the loop- from spec to silicon, our verification touches every team and every stage of chip development.

As a Senior Design Verification Technical Lead on the Graviton team, you will be responsible for
leading the verification of complex SoC sub-systems, driving cutting-edge verification
methodologies, and ensuring our next-generation Graviton server SoC meets the highest quality
bar before reaching silicon.

What You'll Do:
- Develop and execute verification plans for IO sub-systems- covering interconnect.
protocols, peripheral interfaces, and system-level integration
- Verify IO sub-system features including interconnect protocols, various accelerators engines.
- C embedded SW programing and SW debug skills
- Build and maintain UVM-based verification environments for IO sub-systems.
- Verify ARM advanced interconnect protocols (AMBA CHI/ACE/AXI) ensuring correct coherency transactions, performance verification, and protocol compliance.
- Verify the IO virtualization SMMU/TLB operations, page table walks, translation granules, and memory attributes (cache-ability, share-ability).
- Develop constrained-random and directed test strategies targeting corner cases in IO protocol hazards, coherency races, and system boundary conditions.
- Drive coverage closure using functional coverage models, assertion-based verification, and formal methods where applicable.
- Contribute to performance verification - ensuring micro-architectural
implementations meet performance targets alongside correctness.

We're looking for an exceptional senior Chip Design Engineer to join our Nitro team and help shape what comes next. You'll work alongside a world-class, fast-moving engineering team, take full ownership of critical IP blocks, and see your work deployed at a scale no other platform can match- powering hundreds of thousands of businesses across 190 countries.

As a Senior Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers AWS at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.

Key job responsibilities
* Full ownership of one or more IPs within the product:
Micro-architecture definition.
RTL coding and debug.
Synthesis and timing closure.
Sign-off before tape-out.
* Supporting the Verification and Emulation teams: Test plan development, coverage review.
* Ensuring the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical Design.

As a Sr. Solutions Architect at AWS, youll build technical relationships with customers and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey.

Youll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their projects. Internally, you will be the voice of the customer, sharing their needs and wants to inform the roadmap of AWS features.

In this role, your creativity will link technology to tangible solutions, with the opportunity to implement cloud-native reference architectures for a variety of use cases. You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g., white papers, code samples, blog posts) and evangelize and educate about AWS technology (e.g., through workshops, user groups, meetups, public speaking, online videos or conferences).

Come join the AWS Agentic AI science team in building the next generation models for intelligent automation.

We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.

We're looking for a brilliant Development Team Leader to step in and lead a critical backend engineering team, ensuring our product roadmap stays on track and our systems remain stable. This is a high-impact opportunity to provide leadership, drive successful project delivery, and foster the growth of talent within our dynamic environment.
What am I going to do?
Drive the team's project roadmap, owning the schedule and ensuring on-time delivery while proactively managing dependencies.
Act as the primary point person for production health, overseeing reliable deployments and leading swift incident response.
Provide hands-on technical mentorship and guidance to engineers, championing best practices in security and architectural design.
Cultivate strong partnerships with team leaders from the group to facilitate seamless cross-functional integration and align on shared objectives.
Optimize day-to-day operational rituals, including stand-ups, sprint planning, and task allocation, to maintain team velocity and efficiency.

Are you an inventive, curious, and driven Applied Scientist with a strong background in AI, Computer Vision, and Deep Learning? Join our AGI IMAX Science team and contribute to significant advancements in Computer Vision, Multimodal Understanding, Generative AI, and foundational models.

As part of the AGI IMAX Science team, you'll lead innovative research projects and train large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models that directly impact millions of Amazon and AWS customers. Leveraging Amazon's vast computing power, you'll work alongside a supportive and diverse group of skilled scientists and engineers, building models and services that make a meaningful difference in the industry.


Key job responsibilities
Lead research initiatives in Computer Vision and Multimodal generative AI, advancing model efficiency, accuracy, and scalability.
Train and fine-tune large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models at scale.
Design, implement, and evaluate deep learning models in a production environment.
Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services.
Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.

Are you an inventive, curious, and driven Applied Scientist with a strong background in AI, Computer Vision, and Deep Learning? Join our AGI IMAX Science team and contribute to significant advancements in Computer Vision, Multimodal Understanding, Generative AI, and foundational models.

As part of the AGI IMAX Science team, you'll lead innovative research projects and train large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models that directly impact millions of Amazon and our customers. Leveraging Amazon's vast computing power, you'll work alongside a supportive and diverse group of skilled scientists and engineers, building models and services that make a meaningful difference in the industry.


Key job responsibilities
Lead research initiatives in Computer Vision and Multimodal generative AI, advancing model efficiency, accuracy, and scalability.
Train and fine-tune large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models at scale.
Design, implement, and evaluate deep learning models in a production environment.
Collaborate with cross-functional teams to transfer research outcomes into scalable our services.
Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.

We are seeking an Applied Scientist to help build Amazons next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for Amazon's customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.

The Nitro SW team is seeking an Embedded Engineering Intern to help build the next generation of Nitro. In this role, you'll design, develop, deploy, and maintain key firmware components while monitoring and supporting their performance. You'll solve complex technical problems and contribute to infrastructure that supports millions of customers around the globe. This is an opportunity to work on the technologies behind the world's largest cloud provider in a fast-moving, high-energy environment.

As a Signal & Power Integrity Engineer on the Nitro team, you'll work on next-generation cloud infrastructure hardware while developing your skills in Signal Integrity and Power Integrity. This is an opportunity to learn SI/PI analysis and simulation while applying your hardware design knowledge to solve complex challenges in high-speed digital systems. You'll be mentored by experienced engineers and contribute to products that directly impact our customers.

Key job responsibilities
- Design and debug high-speed digital circuits for K2 cards and server platforms.
- Learn and apply SI/PI simulation methodologies for PCB and system-level designs.
- Collaborate with Package design, SerDes and DRAM IP provider, firmware, EC2, and manufacturing teams.
- Perform signal integrity analysis for high-speed interfaces and SerDes channels at the advanced of the technology.
- Analyze and optimize power delivery networks from card to system level.
- Support hardware bring-up, debug, and validation with hands-on lab work.
- Participate in design reviews and provide technical feedback with internal and external design teams.
- Work with cross-functional teams to resolve signal quality and power integrity issues.
- Contribute to design guidelines and best practices based on measurements and analysis.

As a Technical Account Manager (TAM) in our Enterprise Support, you will serve as the primary technical advisor and voice of the customer for a portfolio of fast-growing Israeli startups. You will play a crucial role in fostering their innovative and transformative work across AI/ML, compute (including accelerated and GPU workloads), containers, networking, storage, databases, serverless, security, and more. It's an opportunity to work closely with technical founders and engineering leaders, helping them make the right architectural decisions at each stage of their growth journey.

Key job responsibilities
- Act as the primary technical advisor for your startup customers, building trusted-advisor relationships with CTOs, VP Engineering, and founding teams.
- Engage across the full customer organization, from individual engineers through to C-suite, adapting your communication to each audience.
- Help accelerate customer growth by crafting strategies that balance startup velocity with Well-Architected best practices across AI/ML, compute, containers, and data infrastructure.
- Conduct architecture reviews, operational assessments, and proactive risk identification. Analyze service events and operational patterns to drive continuous improvement in resilience, performance, and cost efficiency.
- Drive technical discussions with founding teams on architecture trade-offs, incident response, and risk management as their systems scale.
- Uplift customer capabilities by running workshops, enablement sessions, and brown bag sessions tailored to their technical needs.
- Champion and advocate for your customers by connecting their feedback to our engineering teams, influencing platform evolution, and ensuring rapid resolution of concerns.
- Collaborate with Solutions Architects, Business Developers, Professional Services, and Account Managers to deliver coordinated customer value.
- Develop and share technical content such as blog posts, reference architectures, and reusable solutions that help startups solve common challenges and reduce time-to-market.

We are looking for a Squad Leader to join our engineering leadership team, reporting directly to the VP Engineering.

You will own & manage a multi-disciplinary squad spanning AIgo, full-stack, AIOps, QA, and data - accountable for delivery, people, and business outcomes. You will work closely with a Principal Product Manager who sets direction, and directly manage a Product Owner embedded in your squad.

A Day in the Life and How Youll Make an Impact:

Drive your squads lifecycle-from planning and prioritization to risk mitigation-ensuring commitments are met and quality remains non-negotiable.
Direct-line manage all engineers and an embedded Product Owner. Conduct meaningful 1:1s, support career growth, and foster a high-accountability team culture.
Connect engineering decisions directly to commercial goals. Always anchor what we build to why it matters to the customer.
Partner with Principal Architects and senior engineers to offer technical guidance, evaluate trade-offs, and spot architectural risks early.
Actively participate in high-level engineering leadership discussions regarding product roadmaps, global resourcing, and organizational strategy.