Jobs at Nvidia in Germany, Munich

What you’ll be doing:

• Design and implement novel algorithms that enhance the real-to-sim quality, using state-of-the-art reconstruction and generative techniques.

• Optimize the reconstruction training and rendering runtime towards speed of light.

• Contribute to a large codebase, combining Python and CUDA.

• Close collaboration with experienced engineering and research team members.

• Contribute to NVIDIA NuRec and other core NVIDIA products and libraries.

• Publish and present results in internal or external conferences and articles.

What we need to see:

• Pursuing MS or PhD in Computer Science, Computer Engineering, or a related area with a focus on computer graphics, computer vision, or machine learning.

• Hands-on technical knowledge on Neural Reconstruction, and Generative Models such as image and video diffusion models.

• Proven experience with Python and Pytorch as well as CUDA/Slang.

• Strong experience in robotic systems such as autonomous vehicles or humanoid robotics.

• Good software engineering fundamentals (source control, testing/validation, containerization).

• Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product- and research-focused team.

Ways to stand out from the crowd:

• Strong coding architecture skills showed by contributing to large internal or open source projects.

• Experience with performance analysis and optimization, particularly for GPU-accelerated workloads is a plus.

• Experience with advanced CUDA development and optimization for graphics or vision applications.

• History of multi-disciplinary creativity and innovation (for instance, experience with hardware + software projects in graphics or robotics).

November 29, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.

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

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:

• Develop production-grade software by turning prototypes and ad-hoc solutions into maintainable features.

• Act as a bridge between solution engineering and core development, ensuring quick wins evolve into sustainable product capabilities.

• Collaborate closely with variety of engineering teams to ensure smooth integration of new features.

• Contribute to system development and architecture discussions, ensuring features that are customer focused align with platform strategy.

• Write high-quality code, tests, and documentation to ensure long-term maintainability.

What we need to see:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

• 8+ years of software engineering experience with exposure to distributed systems, platform services, or developer tools

• Excellent programming skills in Go and proficient knowledge in Software Architectures, System-design and understanding of automation frameworks and tools.

• Strong understanding of software architecture, APIs (REST/GraphQL), CI/CD workflows, Databases, Grafana, Jira, Server-Client Architectures.

• Solid debugging, problem-solving, and cross-team communication skills.

• Comfort working in fast-paced environments where priorities shift between experimentation and delivery.

Ways to stand out from the crowd:

• Experiences with programming languages such as Perl, Python

• Experiences in Nvidia Technologies including GPU, CUDA

• Strong familiarity with LLM, AI and Machine Learning and HPC

NVIDIA is searching for an outstanding FAE 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 or equivalent experience

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

• Linux, embedded SW and embedded application expertise

• C, C++, and Python coding

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

• Ability to multitask effectively in a dynamic environment

• Strong analytical and problem-solving skills

• Strong 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 experience

• Experience with gStreamer, ROS and/or OpenCV

• Deep Learning and/or AI experience

What You’ll Be Doing:

• Collaborate with local Site Leaders, the RESS Regional Lead, and all local employees regarding daily site operational issues.

• Coordinate all site operations, including reception, security, emergency response planning, EHS programs, ergonomics, green initiatives, food and beverage services, supplies, asset management, recycling, and happiness surveys.

• Work with Site Leadership and the RESS Regional Lead to support a positive Employee Experience through responses to employee needs and action plans based on surveys, suggestion box submissions, and town hall feedback.

• Assist Site Leadership in establishing and implementing site-level initiatives, and collaborate with the RESS Regional Lead to align with proven guidelines.

• Partner with the RESS Regional Lead to prepare, manage, and forecast site operational costs and budgets, and explore opportunities to enhance cost efficiency and site services.

• Coordinate contract administration, insurance, and risk management for all site services and vendors, ensuring compliance with legal requirements.

• Establish and manage regular site occupancy plans and seating assignments using RESS resources to meet business space demands.

• Lead and support office moves, expansions, and facilities projects (e.g., HVAC, electrical, plumbing), leveraging RESS regional resources.

• Serve as the primary liaison for landlord-provided property management services.

• Support the regional HR/Recruitment team with onboarding, university relations events, and coordinate with local IT for telecom, video conferencing, and site-specific technical needs.

What We Need to See:

• A college degree, professional training, and/or equivalent experience.

• 7+ years of experience in a relevant role.

• Analytical and strategic problem-solving capabilities.

• Strong communication skills (written and verbal)

• Full proficiency in German andEnglish (writtenand spoken).

• High energy and enthusiasm to effectively manage the area of responsibilities and service delivery function.

• Ability to operate independently and effectively in an ambiguous environment.

Ways To Stand Out From The Crowd:

• Proven ability to deliver outstanding site management services.

• Flawless execution in managing diverse operational aspects.

• Ambitious approach with a track record of successfully implementing innovative solutions.

• Experience in the real estate industry and familiarity with managing global site operations.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fuelled by great technology—and amazing people.

What you'll be doing:

As an intern, you will participate in the development of services that support our ecosystem. Your primary focus will be on designing, implementing, and maintaining APIs using Python and FastAPI. You will work closely with our team of developers to ensure that our services are efficient, scalable, and meet requirements. Day-to-day tasks will include:

• Developing and testing APIs for seamless integration with the service;

• Collaborating with the team to design service architecture;

• Writing clean, maintainable, and well-documented code;

• Addressing challenges and improving existing services;

• Participating in code reviews and contributing to team discussions;

What we need to see:

• Pursuing Bachelors or Master’s in Computer Science or related field

• Strong programming skills in Python

• Familiarity with FastAPI or similar frameworks

• Basic understanding of RESTful API design principles

• Eagerness to learn and contribute to real-world projects

• Excellent problem-solving skills and attention to detail

• Proficient English

• While prior professional experience is not required, coursework or personal projects that demonstrate your coding abilities will be a significant advantage

Ways to stand out from the crowd:

• Projects or experience where you've built or contributed to APIs;

• Familiarity with data management or tools commonly used in the ecosystem (e.g., databases, ETL pipelines);

• Knowledge of containerization and orchestration tools such as Docker or Kubernetes;

• Contributions to open-source projects or participation in coding competitions;

• A proactive attitude, strong communication skills, and a genuine passion for backend development;