Manufacturing Associate jobs in Germany

We’re searching for an experienced Circuit Design & Analysis engineer with a background in custom circuit design & analysis, system level thermal & power analysis with a proven track record of handling challenges at scale. In this role, you’ll be working directly with product engineers, signal & power integrity engineers and physical design experts - defining best practices, driving correlation of pre-silicon simulation of thermal & power integrity to post silicon analysis and developing custom circuits that help raise the bar in implementing state-of-the-art machine learning hardware.Key job responsibilities
- Design and implement custom cells / IP.
- Develop & run characterization flows for custom cells / IP developed.
- Own integration & post-silicon qualification of IPs like PLL, PCIE, UCIE, HBM, sensors/monitors.
- Develop scripts to automate running analysis and collect reports.
- Develop test-plan and perform measurements in the lab to correlate with simulation data.
A day in the life
Depending on the state of the project, you may find yourself working on the following:- Evaluate IPs (like sensors, process monitors) from a 3rd party
- Develop an characterize custom IPs like ganged buffers, custom logic cells for specialized operations (like MACs)
- Work with designers and architects to identify pain-points and areas where custom solutions can improve PPAS
- Do post-silicon quality checks for key IP like PLLs, UCIE/PCIE, HBM
- Do post-silicon power measurements of jitter, sensor calibration, power and correlate with simulationWork/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.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.

- BS + 8yrs or MS + 6yrs or PhD + 3yr in EE/CS
- Expertise on circuit level analysis using tools like SPICE / SPECTRE
- Expertise in interconnect & transistor fundamentals in deep sub-micron processes
- Understanding of ASIC Physical Design from RTL-to-GDSII
- Understanding of other sign-off activities (ir/em, physical verification, timing closure, DFT)
- 3+ years of scripting experience with Tcl, Perl or Python

Be great fun to work with.
At AWS, we have a credo of “Work hard. Have fun. Make history”. In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.Have a strong understanding of large scale computing solutions. The ideal candidate will have past experience working as a systems or support engineer. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.Key job responsibilities- Proactively identify opportunities to accelerate implementation through reusable components, parallel workstreams, etc.- Drive product innovation by gathering customer feedback, translating needs into clear requirements, and partnering with product teams through developmentA day in the life
• Review customer requirements and technical challenges, focusing on opportunities to implement complex solutions architectures that can transform business outcomes also leveraging AI capabilities
• Develop proof-of-concepts that demonstrate how cloud solutions can transform business processes
• Influence service team leadership and product marketing on the future needs for customers, prioritizing roadmap features and GTM messaging
• Dedicate time to continuous learning about the latest advancements in AWS service capabilities
• Participate in knowledge sharing activities with colleagues, creating field enablement materials to help other SAs understand how to integrate cloud solutions into customer architecturesDiverse Experiences
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 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.Work/Life Balance

- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience in IT development or implementation/consulting in the software or Internet industries
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

- Experience designing, developing, and optimizing prompts and templates that guide LLM behavior; Experience with design, deployment, and evaluation of LLM-powered agents and orchestration; Experience with building AI applications powered by language models with frameworks like LangChain, LlamaIndex, or others

As a member of the AWS Support team for ESC you will be at the forefront of this transformational technology, assisting a global list of companies and developers that are taking advantage of a growing set of services and features to run their mission-critical applications in ESC. Proficiency in oral and written communication skills in German & English Language is a requirement. As a Cloud Support Engineer, you will act as the ‘Cloud Ambassador’ across all the cloud products, arming our customers with required tools & tactics to get the most out of their Product and Support investment. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/Eligibility requirements:
* Fluency in written and spoken German and English is required.
* Successful applicants must have the legal right to work in Germany
* Amazon will provide relocation support for successful applicants relocating within the European Union.
* This position involves On-call responsibility.Key job responsibilities
This role requires the flexibility to work 5 days a week (occasionally on weekends) on a rotational basis.A day in the lifeAbout 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 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 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.Work/Life Balance

This role requires you to be a national of an EU member state
Excellent Oral/Written communication skill in the English and German language and a bachelor’s degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR equivalent 6 + months experience in a technical position
Knowledge or experience with troubleshooting OS issues and knowledge or experience of the networking OSI model and knowledge or experience analysing, troubleshooting, and providing solutions for technical issues

Key job responsibilities
• Develop strategic technical roadmaps and implementation plans for generative AI solutions that align with customers’ business objectives and existing architecture
• Design and implement generative AI architectures that orchestrate complex workflows across enterprise systems, leveraging AWS services like Amazon Bedrock, SageMaker, and Amazon Q
• Communicate complex technical concepts to stakeholders, translating technical elements into business language that demonstrates clear value
• Mentor team members and contribute to knowledge sharing within the organization to advance AI adoption and implementation best practices
• Lead thought leadership initiatives and externally represent by evangelizing AWS generative AI capabilities through public speaking at industry events (re:Invent and AWS Summit), publishing technical content (blogs, whitepapers, reference architectures), and sharing best practices with the broader AI/ML community
• Stay current with the latest advancements in generative AI research and AWS service capabilities to improve system performance and recommend optimal technology stacks
A day in the life
• Review customer requirements and technical challenges, focusing on opportunities to implement generative AI solutions that can transform business outcomes
• Develop proof-of-concepts that demonstrate how generative AI solutions can transform business processes
• Influence service team leadership and product marketing on the future needs for customers, prioritizing roadmap features and GTM messaging
• Dedicate time to continuous learning about the latest advancements in AI research and AWS service capabilities
• Participate in knowledge sharing activities with colleagues, creating field enablement materials to help other SAs understand how to integrate generative AI solutions into customer architectures

- Deep expertise in tech domains (software, cloud, systems, infrastructure, security, networking, data & analytics)
- Proven track record in designing and implementing enterprise applications and infrastructure, particularly in software/internet industries
- Strong cloud architecture knowledge with relevant certifications (Solutions Architecture, Security, or DevOps)
- Bachelor's degree in Computer Science, Engineering, Mathematics or equivalent experience
- Experience in leading enterprise-scale software development using structured lifecycle methodologies

- Experience in infrastructure architecture, database architecture and networking
- Experience working with end user or developer communities
- Knowledge of software development tools and methodologies