It Architect jobs in Germany

NVIDIA is searching for an outstanding SA with a focus on embedded systems and AI. Your primary responsibilities will be to partner with sales and support the customer technical engagement for NVIDIA’s Jetson platform. You will be working cross functionally with our organizations as well as our partner ecosystem. You should be comfortable working in a dynamic environment and have proven expertise with supporting embedded applications. You will emphasize on your interpersonal skills and your technical knowledge to provide support for our embedded GPU AI products. Excellent communication and interpersonal skills and the ability to work independently are key success factors. Experience with DL is a plus, as well as the aspiration the learn and develop new skills.

What you’ll be doing:

• Engage customers and develop a keen understanding of their challenges, objectives, and technical needs – and help to define highly valued solutions that meet these needs

• Be the trusted advisor for our customers, help them with our Jetson SDK and edge AI inference supporting our sales partners and customers

• Work closely with the NVIDIA applications and engineering team to ensure customers are successful in developing their embedded systems, answer their questions directly, via email, and on the Nvidia developer forum

• Actively establish relationships with our customer’s engineers, management and architects at focus accounts

• Provide onsite support to guide our customers through firmware, BSP and application software development, and with deep learning inference

• Consult with customers in whiteboarding sessions to propose technical solutions, demonstrate capabilities, build proof of concepts and application demonstrations

• Provide technical and sales training to ecosystem and channel partners

• Establish trusted relationships and communication channels with internal teams

What we need to see:

• BS or MS in Electrical Engineering or Computer Science

• 6+ years of work-related experience in a high-tech electronics industry in an embedded design role or technical customer support role

• C, C++, and Python coding, Linux, embedded SW and embedded application expertise

• Capability of working in a rapidly changing environment without losing focus

• Ability to multitask effectively in a dynamic environment

• Strong analytical, problem-solving skills, time-management, and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects

• Expert written and oral communications skills in English with the ability to effectively collaborate with management and engineering

Ways to stand out from the crowd:

• NVIDIA GPU development background

• Deep Learning and/or AI expertise

• Experience with gStreamer, ROS and/or OpenCV

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

What you will be doing:

• Guide customers through the end-to-end process of AI adoption—from requirements gathering and proof-of-concept development to deployment, integration, benchmarking and ongoing optimization
• Collaborate with our business/account team to identify technical needs, customer goals, and strategies. Your responsibilities will include enabling customer adoption of NVIDIA technology by mapping our solutions to their use cases and driving positive relationships with our technology partners, making NVIDIA an integral part of end-user solutions.
• Keep up to date on AI advancements in Digital Biology as well as relevant NVIDIA technology that enable this innovation.
• Be a technical leader, bringing vision to the integration of NVIDIA technology into AI and HPC architectures for advanced applications, such as agentic AI, autonomous labs or drug discovery.
• Engaging with developers, researchers, data scientists, IT managers, and senior leaders internally and externally is an essential part of the Solutions Architect role to gain experience in various technical areas.
• Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles to simply working through hard problems with a customer on a whiteboard.
• We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful.
  

What we need to see:

• MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry or Computational Physics, or related fields with strong applied experience in these domains.
• 5+ years of work-related experience with hands-on expertise in AI/ML for healthcare or life sciences.
• Proven experience with Python and AI/ML frameworks (PyTorch, Langchain, or building custom framework) and application to scientific questions.
• Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
• Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills - especially in effectively presenting complex technical information. Must enjoy engaging with innovative individuals, continuous learning, and staying at the forefront of the field.
  

Ways to stand out from the crowd:

• Demonstrated work in AI-at-scale related to multi-omics foundation models, protein structure prediction, drug discovery or clinical development.
• Experience building, deploying, and optimizing agentic AI systems for healthcare and life sciences, especially for scientific software vendors and data platforms, is a plus.
• Experience developing, training and customizing Transformer models for healthcare and life sciences applications, especially using libraries like Transformer Engine or Megatron-LM.
• Background with accelerating scientific algorithms using parallel programming (e.g., using CUDA), or experience with distributed programming models for supercomputing applications, AI deployment/inference technologies (e.g. TensorRT), cloud deployment (AWS, Azure) or optimization frameworks (e.g. cuOpt), is a plus.
• Experience in the pharmaceutical industry or stablished thought leadership through publications or presentations on AI/ML applications in healthcare and life science.
  

Key job responsibilitiesYou will take a leading role 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 and industry trends (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).This role is within the EMEA Telco organization and you will be working with large Telco customers.Work/Life Harmony
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.

- 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

Amazon Connect was designed from the ground up to be omnichannel, it provides a seamless experience across voice and chat for your customers and agents leveraging AWS. This is a highly technical position for someone who can dive deep, build complex, AWS-optimized architectures, and help customers accelerate their adoption of AWS services. Your broad responsibilities include: owning the technical engagement and ultimate success around specific implementation projects. You should be as comfortable discussing complex technical details with a room full of engineers as you are briefing an executive audience. In addition, you will engage with other AWS solutions architects, partner and professional services organizations to drive large and highly complex sales opportunities to closure.Key job responsibilities
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Participate as a leader in AWS technical communities.
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

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities
- Experience managing relationships with SAP customers and partners
- Experience in SAP S/4HANA, SAP Cloud Platform, SAP Cloud ERP and Cloud ERP Private
- Experience in SAP clean core design concepts, including design and build using non-SAP technologies in domains such as Generative / Agentic AI, and data & analytics

What you will be doing:

• Guide customers through the full journey of AI adoption and accelerated computing —from requirements gathering and proof-of-concept development to deployment, integration, benchmarking, and ongoing optimization.

• Collaborate with our business and account teams to identify technical needs, customer goals, and strategies. Your responsibilities will include enabling customer adoption of NVIDIA technology by mapping our solutions to their use cases and driving positive relationships with our technology partners, making NVIDIA an integral part of end-user solutions.

• Keep up to date with AI/ML for genomics innovations and the latest in accelerated computing technology for this field.

• Be a technical leader collaborating with leading research and industry teams to solve multiomics—including genomics—and foundation‑model challenges at scale, leveraging NVIDIA technology.

• Engaging with developers, researchers, data scientists, IT managers, and senior leaders internally and externally is an essential part of the Solution Architect role to gain experience in various technical areas.

• Document solutions and deliver targeted training, whitepapers, and best practice guides for customers and partners. We make heavy use of conferencing tools, but some travel is required for this role.

• You are empowered to find the best way to get your job done and make our customers successful.

What we need to see:

• MS, PhD, or equivalent experience in Computational Biology, Genomics, Computer Science, or related field with hands-on genomics or multiomics work.

• Deep genomics domain expertise in data processing (secondary and tertiary analysis) in genomics or single cell technologies, with 5+ years work-related experience in AI/ML and accelerated computing for related use-cases.

• Proven experience with Python and relevant AI/ML and domain frameworks (PyTorch, Nextflow/WDL, RAPIDS, Parabricks, scverse or building custom framework) and their application to scientific questions.

• Demonstrated strong time-management and organizational abilities in coordinating multiple initiatives and priorities, as well as implementing new technologies and products within highly complex projects.

• Motivated self-starter with strong problem-solving abilities and excellent customer-facing communication skills, particularly in presenting complex technical concepts effectively. Must enjoy engaging with innovative individuals, continuous learning, and staying at the forefront of the field

Ways to stand out from the crowd:

• Hands-on experience in the development and optimization of bioinformatics tools, deep-learning foundation models, data analysis, and profiling for multiomics—including genomics and single-cell.

• Strong background in large scale data processing and AI for genomics, including whole genome sequencing (WGS), diagnostic and variant interpretation, knowledge curation, and model explainability.

• Proficiency in building or integrating multimodal patient or cell-level foundation models across genomics, pathology, and clinical data.

• Experience with GPU acceleration, CUDA development, or benchmarking to scale model training and inference.

• Recognized contributions through publications, opensource projects, or community engagement in AI-driven genomics or Digital Biology.