Senior Solution Architect - Medical Devices jobs at Nvidia in Germany

What you will be doing:

• Develop and optimize scalable high-performance cryptographic primitives, algorithms, and building blocks on the latest GPU hardware architectures

• Emphasize robust long term software architectures and designs that effectively use many generations of hardware

• Work closely with internal(product management, engineering) and external partners to understand feature and performance requirements and deliver timely cuPQC releases.

What we need to see:

• PhD or MSc’s degree in Applied Mathematics, Computer Science, or related science or engineering field is preferred (or equivalent experience).

• 5+ years of experience designing and developing software for cryptography in low latency or high throughput environments

• Strong mathematical foundations.

• Advanced C++ skills, including modern design paradigms (e.g. template meta-programming, SFINAE, RAII, constexpr, etc).

• Strong collaboration, communication, and documentation habits.

Ways to stand out from the crowd:

• Experience developing libraries consumed by many users.

• Experience with CUDA C++, and GPU computing.

• Programming skills with contemporary automation setups for both building software (e.g. cmake) as well as testing (e.g. CI/CD, sanitizers).

• Strong understanding of mathematical foundations and algorithms used in cryptography, including but not limited to finite field arithmetic, lattice-based cryptography, and cryptographic hash functions.

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

This is a regional role covering EMEA.

What you’ll be doing:

• Manage team of regional Inception Program Managers, and Inception Partners Managers in Europe.

• Identify startups as Inception Program candidates, ISVs and key VCs for us to work with and evangelize both software and hardware technologies to the technical leaders

• Able to establish the value proposition of NVIDIA technologies to technical heads/leaders

• Support Inception Program communities and attend ecosystem events to recruit Inception members

• Build out startup engagement to develop a deep understanding of their goals, strategies, and technical and business needs

• Support emerging use cases development to help cultivate new industries (e.g. Robotics, Physical AI, Agents)

• Drive adoption of SDKs, monitors status, finger on the pulse and assist the Inception/ISV with Go To Market (GTM) programs to be successful

• Link mature Inception startups to VCs and vis-a-versa based on needs and distribute the vertical-ready mature Startups to the respective IGM/IBD teams

What we need to see:

• Minimum of 6+ years of management experience and 12+ overall years of proven working experience in related fields such as startups, partner/eco-system or VCs management with strong related technical background

• BS/MS/PhD in Computer Science, Engineering or equivalent commercial experience in AI/ML

• Passion for ecosystem development and thrive in dynamic environment with technical members

• Excellent communication skills are a crucial requirement. Candidates must work comfortably with startups, partners and various internal & external teams

• GenAI, Machine Learning and Artificial Intelligence experience is a must.

• Ability to build and lead Inception’s Europe strategy.

Ways to stand out from the crowd:

• Team player, loves to work in a team environment with collaborative approach

• Experience of a leading Technical Business Dev or AI teams in Europe’s ecosystem

• Has good local developer, researcher, engineer landscape understanding

• Has experience sourcing “future founders” with a team before anyone else.

• Proficient in English required but candidates who are multilingual are preferred.

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'll be doing:

As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community.

What we need to see:

We are looking for engineers who are excited about building powerful, user-centric tools and are comfortable working in a fast-paced, collaborative environment. Here are some of the expertise we would like to see:

• A Bachelor's, Master's, or Ph.D. in Computer Science or a related technical field (or equivalent experience).

• 8+ years of relevant work experience

• A strong command of Python and experience building complex, well-tested software systems.

• Hands-on experience with deep learning frameworks like PyTorch or JAX. You understand how models are built and where the performance challenges lie.

• A solid foundation in compiler concepts such as abstract syntax trees (ASTs), intermediate representations (e.g., SSA form), program analysis, and code generation.

• Excellent communication and collaboration skills, essential for working effectively in a distributed, open-source environment.

Ways to stand out from the crowd:

• Previous contributions to deep learning compiler projects (e.g., TVM, MLIR, IREE) or deep learning frameworks themselves.

• Deep expertise in the internals of PyTorch, particularly its compiler stack (TorchDynamo, TorchInductor).

• Experience with JAX-like functional transformations and their application in a compiler context.

• Familiarity with parallel programming, distributed systems, and writing high-performance CUDA code.

• A track record of impactful participation in open-source communities, such as through code contributions, design discussions, or mentorship.

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.