Solutions Architect Genai jobs at Nvidia 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

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.
  

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.

Our automotive team is building ground-breaking platforms for autonomous vehicles. As a RADAR SOC Architect specializing in embedded systems, you will be responsible for defining system level architecture for automotive advanced driver assistance systems and autonomous driving systems.

What you will be doing:

• Explore state-of-the-art interference mitigation techniques and how to best map them to existing or future hardware.

• Delve into end-to-end large model architectures and determine the optimal methods for ingesting radar data.

• Evaluate various radar pipeline cuts and establish the best mapping strategies for different hardware generations.

• Present deeply technical content to Tier 1 partners and customers to gain insights into their needs and automotive requirements.

• Develop comprehensive engineering specifications (written) and craft detailed technical documentation for customers.

What we need to see:

• A Master's Degree in Electrical Engineering, Computer Engineering, or equivalent experience.

• Over 10 years of experience in ADAS/Autonomous driving-related applications.

• Thorough understanding of radar transmission techniques (DDMA, TDMA, etc.), range-doppler map building, and performance requirements for SAE driving levels L2-L5.

• Proficiency in radar sensor interfacing technologies and roadmaps.

• Familiarity with modern neural network perception techniques for automotive sensors.

• Experience applying functional safety standards ISO 26262 and system safety standards SOTIF ISO/PAS 21448.

• As this role involves both external and internal engineering responsibilities, excellent interpersonal skills, both written and verbal, are essential.

What you will be doing:

• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

• Design and implement new communication technologies to accelerate AI and HPC workloads.

• Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

• Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

• Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)

What we need to see:

• M.S./Ph.D. degree in CS/CE or equivalent experience.

• 3+ years of relevant experience.

• Excellent C/C++ programming and debugging skills.

• Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).

• Deep understanding of operating systems, computer and system architecture.

• Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.

• Strong experience with Linux.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

• Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.

• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.

• Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.

What you will be doing:

• Research new communication technologies (e.g. expand the GPUDirect technology portfolio) and design new features for our communication libraries

• Propose innovative solutions in HW and SW for our next-gen platforms. You will co-design these solutions with the GPU, Networking, and SW architects and ensure seamless integration with the software stacks

• Inspire changes based on quantitative data coming from proof-of-concepts or detailed technical analysis/modeling

• Drive the adoption of new communication technologies across application verticals

• Keep up with the latest DL research and collaborate with diverse teams (internal and external), including DL researchers, and customers

What we need to see:

• PHD in Computer Science, Computer Engineering or related field or strong equivalent experience; 15+ years of relevant experience in academia or the industry

• Expert in following areas: HPC, parallel programming models (MPI, SHMEM), at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC), computer and system architecture, GPU architecture and CUDA

• Deep understanding of various aspects of high performance networking from prior work experience: network technologies (Infiniband, Ethernet), network design, network topologies, network debug and performance analysis

• Strong in at least a few of these areas: ML/DL fundamentals and how they tie to communications, parallel algorithms, fault tolerance and resiliency, competitive assessments, performance analysis and optimizations for parallel applications on large clusters, developing applications using DL Frameworks (PyTorch, TensorFlow)

• Programming fluency with C or C++ for systems software development

• Flexibility to work and communicate effectively across different HW/SW teams and timezones

Ways to stand out from the crowd:

• Industry recognized leader in HPC/DL communications with history of patents, publications and conference talks and keynotes in areas relevant to this role

• Influential role in industry standards (e.g. MPI, OpenSHMEM) and open source software (e.g. PyTorch, UCX, Open MPI)

What you will be doing:

• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

• Design and implement new communication technologies to accelerate AI and HPC workloads.

• Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

• Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

• Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)

What we need to see:

• M.S./Ph.D. degree in CS/CE or equivalent experience.

• 5+ years of relevant experience.

• Excellent C/C++ programming and debugging skills.

• Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).

• Deep understanding of operating systems, computer and system architecture.

• Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.

• Strong experience with Linux.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

• Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.

• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.

• Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.