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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
These jobs might be a good fit

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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.

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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

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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

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We are seeking a highly skilled and experienced Senior Facilities Manager to oversee our facilities operations across the European region. The ideal candidate will possess experience in corporate facilities management, demonstrating expertise in site services, project management, and effective site leader engagement. This role requires a strategic thinker with strong leadership skills, capable of enhancing operational efficiency and ensuring a safe, productive, and sustainable work environment.
What You’ll Be Doing:
Site Services Management: Oversee and manage all site services operations across NVIDIA's European regional offices. Ensure the highest standards of facility management practices, including maintenance, cleaning, security, and health and safety protocols. Develop and implement policies and procedures to promote a positive working environment for all employees.
Project Management: Lead and manage facilities-related projects, including renovations, relocations, and upgrades to existing infrastructure. Collaborate with cross-functional teams to define project scope, objectives, and deliverables. Monitor project progress, budget, and timelines, ensuring completion to specification and within budget.
Site Leader Engagement: Act as the primary liaison between site leaders and facilities management to ensure alignment on operational needs and resource allocation. Provide strategic guidance and support to site leaders, addressing concerns and proposing solutions to enhance workplace experience. Foster strong relationships with key stakeholders, promoting open communication and collaboration.
Budget and Financial Management: Develop and manage the facilities budget, ensuring cost-effective use of resources while maintaining quality standards. Analyze financial reports and make recommendations for improvements in facilities management practices.
Team Leadership and Development: Lead, mentor, and develop the Office Manager team, fostering a culture of continuous improvement and professional growth. Conduct performance evaluations and provide ongoing feedback to team members.
What We Need to See:
Bachelor’s degree in Facilities Management, Business Administration, or a related field.
Minimum of 10 years of experience in corporate facilities management or a similar role.
Minimum 5 years of leadership experience, managing large regionally distributed teams.
Proven experience in project management, with a track record of successful project delivery.
Strong understanding of building systems, maintenance practices, and safety regulations.
Excellent leadership, communication, and interpersonal skills.
Proficiency in facilities management software and tools.
Fluency in both English and German is highly desirable.
Ways to stand out from the crowd:
Strong background in working across multiple EMEA locations
Demonstrated experience engaging leadership across multiple cultures
Demonstrated experience leading individuals across multiple cultures

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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
These jobs might be a good fit