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We seek a DevOps Engineer for the Machine Learning (ML) Infrastructure team to build the tools that are used to guarantee top performance of AWS ML and High Performance Computing (HPC) technologies developed by our organization. Bring your exceptional knowledge of CI/CD automation, ML and HPC benchmarks and applications to bear on the cutting-edge software we develop. Join us as we expand the AWS offerings for AI, including Trainium, Neuron and the Elastic Fabric Adapter (EFA).
Key job responsibilities
Be the lead engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale. Use internal CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time. Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads. Use AWS Managed Grafana, Quicksight, OpenSeaerch and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders. Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach customers. Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.
You will ensure all infrastructure setup is code (IaC), reviewed and committed to automated pipelines. You find innovative ways to schedule work using Jenkins, supporting the development team while keeping cluster costs down.
You review dashboard and automation results and triage failures, you introduce new tests and platforms to increase the automation coverage. You create reports and status of the CI/CD system to stakeholders
A day in the life:
Diverse Experiences
We value 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, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.

We are looking for a Senior Data Scientist to join the Annapurna System team and develop solutions that raise the quality bar for AWS data centers and directly improve customer experience.
This position provides the opportunity to be at the forefront of large-scale data center technologies, working on some of the most difficult problems in the industry, with the industrys finest developers and business leaders, to shape data center operation and impact future products.
What you will do:
As Data Scientist, you will analyze massive data sets of technical and business data, identify aspects/areas to improve, define/implement measurement metrics, build models to predict issues and optimize operational-service, and work with various stakeholders to drive gradual improvements. You will work closely with internal teams to extract/mine information from our existing systems, in order to create new analyses, build analytical products, and drive BIE-related observations/mindset to the technical domains.
You will be the expert for this new domain, defining tools, methodology, and goals.
You will interface and interact with various engineering teams related to the development and operation of hardware, software, infrastructure, and services. You will understand their concerns and pain, and you will lead analysis, driving tools/projects, proposing improvements, and monitoring the results.
As a domain expert you will be independent, self-managed, and biased for delivering results. You will drive the implementation of efficient, systematic, automated, scaling analytical tools through hands-on work and close interactions with the hardware/software domains. You will be working in a fast-pace environment that encourages collaborative and creative problem solving, enables taking calculated risks, and welcomes constructive peer review.
We are looking for an expert with a flair for recognizing trends and patterns, while correlating it to business needs and driving practical actions. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address a challenge and the ability to influence others by using hard data (and some tact), then we are looking for you!

Required Verification Engineer
We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

Required Physical Design Expert
Key job responsibilities:
Daily involvement in all aspects of physical design chip development (RTL2GDS), including floorplanning, synthesis, clock tree synthesis, place and route, static timing analysis, power and noise analysis, physical verification testing, and equivalence checks.
Being actively engaged in design-backend convergence aspects and defining timing constraints.
Taking full end-to-end responsibility for the physical design of macros and clusters level, according to specifications, under challenging constraints, with focus on optimizing power, area, and performance.
Participation in the development of design flows, using a variety of EDA tools and vendors such as Synopsis and Cadence.
Engaged in defining implementation and signoff methodologies.

We are looking for talented engineers to help us develop the semiconductor platform, which is based on a revolutionary architecture.
Take part in the development of cutting-edge products within disruptive system architecture. You will have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment. Our Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.
Looking for exceptional engineers to join the top-tier team that develops next generation semiconductor platform based on revolutionary architecture. Engineers will participate in design and verification activities working on our next generation products.
You are invited to take part in developing, integrating and deploying cutting-edge technologies, starting with identification and definition of project requirements, architecture, feature development, and collaboration with the different groups.
Your design will be integrated into the nitro SoC, on millions of servers worldwide. This is an opportunity to have a large-scale impact.
As a VLSI engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.
Key job responsibilities:
Full ownership of one or more IPs within the product:
-Micro-architecture
-RTL coding and debug
-Synthesis and timing closure
-Sign-off
Supporting the Verification and Emulation teams: Test plan, Coverage review
Ensuring that the chip meets quality and reliability standards
Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical design.

We are looking for Senior DFT to join the DFT design team and help develop the next generation of chips based on a revolutionary architecture. At our company, DFT (Design-for-Testability) is a multifaceted job that involves architecture definition, logic design, verification, test patterns generation, chip bring-up and more.
As Senior DFT engineer, you will impact and see the device through its entire lifecycle, from definition stage to mass production. You will work in close collaboration with multiple VLSI engineering groups including chip design, verification, backend, test, reliability and more.

Required Senior Colocation Regional Engineer
DESCRIPTION
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, were the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and were looking for talented people who want to help.
Youll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

As a Senior Colo Regional Engineer, you will drive Mechanical/Electrical Engineering services, construction and implementation of enterprise data centers, which meet quality and performance levels across the globe. You will work directly with our Design Engineering Stakeholders, Construction, Operations, and Commissioning teams regionally and globally.
The Data Center Colo Regional Engineering team is looking for a passionate, results-oriented, inventive Mechanical or Electrical Colo Engineers. You will be leading projects to fit out the data centers we support to meet ever-evolving customer needs as we continue expanding our fleet to hyper-scale. As an ideal candidate you:
Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty.
Are detail and data oriented.
Have experience managing engineering projects and consultants.
Build trust and relationships with different stakeholders (e.g., Operations, Commissioning, Construction and Design)
Be inclined to get into the field to see things up close.
The Senior Colo Regional Engineer will be the engineering representative on behalf of the Data Center Colo Engineering Team responsible for the successful delivery of projects. You will assist in Data Center site selection, planning, development. you will evaluate different mechanical/electrical systems and make a data driven decision about a suitable solution based on our guidelines.

EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customers most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities nd how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerating the adoption of ML across customers in the region. In emerging areas, we play a critical role as the first in teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams.