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What you will be doing:
Develop a technical strategy to ensure Nvidia platforms adoption for selected industries, focusing on your priority industries and use cases
Establish relationships with technical leaders in organizations and communities, specifically developers, startups and ISVs within the industries.
Evangelize and develop our leadership position by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities
Lead participation in targeted customer and industry developer events and activities. Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers.
Be the key advisor to how we are differentiated. You will become a NVIDIA technology mentor and focal point for the software developer community.
What we need to see:
Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation.
Experience in several verticals/industries with good knowledge and trends in the industry.
Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.
You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience.
5+ years’ experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities.
Able to work independently and possess excellent communication skills to drive customer and internal engagements.
Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.
Execute and accelerate strategic decisions
Ability to effectively deliver value propositions for specific and targeted industries.
Ensure a positive experience for external customers and partners while working cross functionally within our organization.
Ways to stand out from the crowd:
Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.
Strong technical understanding of Data Analytics, Generative AI, Embedded System/Jetson.
Experience in network communication protocol is an added advantage.
Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions
Excellent organizational, planning, and execution skills
These jobs might be a good fit

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What You'll Be Doing:
Join the company architecture teams and lead the DFT architecture of the HCA products.
Drive test solutions for NVIDIA products, define product testability setup architecture.
Define the team goal, strategies, tools, methodologies and KPIs of the group
Work and improve interfaces with your peers
Lead functional testing strategy in the company
Align work methodologies and strategies with global NVIDIA.
Work with NVIDIA global teams, provide the best TTM and cost effective solutions while maintaining best quality products to our customers.
What We Need To See:
B.Sc. degree in Electrical Engineering or higher.
Minimum 8 overall years of experience in one of the following fields: hardware designer, system engineering and technical leader
3+ years of proven managerial experience
great communication skills with diverse teams and functional groups.
Multi-tasking capabilities.
High self-learning skills.
Strong execution quality standards.
An innovative approach to problem solution.

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What you'll be doing:
Coordinate NPI and mass production activities Drive equipment KPI roadmap improvement projects
Manage and track troubleshooting with equipment Engineering
Manage and track Production line equipment related manufacturing and quality issues
Tracking root cause analysis and corrective action on production issues
Be a key part of Manufacturing Engineering team, collaborating with Contract manufacturers, internal engineering groups to manage projects, milestones and deliverables.
What we need to see:
Excellent English- oral and written communication skills
Engineering Bachelor Degree or equivalent
5+ years as PMO or project management experience
Familiarity with IC test process
Background with data analysis
Agility, the ability of changing priorities and tasks pending production needs Self-motivated and able to work effectively across different functional teams and subcontractors
Excellent teammate, communication, organization skills and independence

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What You’ll Be Doing:
Lead, mentor, and grow a team of software verification and infrastructure engineers focused on simulation quality, automation, and scalability.
Oversee development of multi-node verification systems to validate distributed simulation performance and stability.
Drive the evolution of CI/CD pipelines and automation workflows to ensure fast, reliable delivery of simulation releases.
Collaborate cross-functionally with hardware design, DevOps, firmware, and software teams to align infrastructure improvements and verification methodologies.
Balance hands-on technical contribution with leadership — guiding design reviews, architecture discussions, and best practices for verification excellence.
Foster a culture of ownership, continuous improvement, and innovation across the verification organization.
What We Need to See:
B.Sc. or higher in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.
8+ overall years of software development or verification experience, with at least 3 years in a technical leadership or management role.
Strong background in Python and C/C++, with experience building or maintaining large-scale verification or test automation frameworks.
Solid understanding of Linux systems, CI/CD automation, and DevOps practices (Jenkins, Git, Gerrit, Docker).
Strong communication and organizational skills — able to align multiple teams and deliver high-impact results.
Ways to Stand Out from the Crowd:
Hands-on experience managing simulation or emulation verification teams in hardware/software co-development environments.
Proven experience leading teams that build scalable, distributed, orhardware-simulation-relatedsystems.
Expertise in multi-node or distributed testing frameworks, performance validation, or concurrency debugging.
Track record of driving improvements in CI/CD pipelines, automation coverage, and release stability.
Deep familiarity with GPU, networking, or system architecture concepts.

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What you'll be doing:
Own and leadmultiple
Orchestrate cross-functionally among Israeli and global marketing , engineering, and operations teams from initial requirements through architecture stage, execution, and delivery
Drive feature planning and prioritization to ensure program goals and product capabilities meet schedule and quality targets
Identify and resolve risks, gaps, and bottlenecks through collaboration with technical, program leaders and executive management
Matrix management of inbound teams to ensure consistent alignment with NVIDIA’s strategic direction and product goals
What we need to see:
B.Sc. in ComputerScience, Electrical Engineering,or equivalent experience, MBA – advantage.
5+ years of experience in software program or project management or leadership
Strong expertise in software project management methodologies and tools (such as Jira/TFS/Redmine, MS Excel, MS Project, Power BI)
Experience managing multidisciplinary software development over hardware and/or silicon products
Self-driven team player with strong ownership, accountability, and a proactive ‘can-do’ approach; capable of leading people and driving complex tasks in parallel
Excellent verbal and written communication skills in English, able to clearly convey complex information to engineers and executives
Ability and willingness to operate in a dynamic, fast-paced global environment and collaborate across time zones
Ways to stand out from the crowd:
Ability to conduct technical discussions
Software networking background
Experience running multiple programs or releases in parallel within global, cross-functional organizations
Experience with large-scale programs
Familiarity with Agile software development principles and frameworks

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What You’ll Be Doing:
Lead, mentor, and grow a team of software engineers developing NVIDIA’s Ethernet simulation.
Define the technical roadmap for Ethernet simulation – architecture, development and verification strategy.
Oversee the implementation and validation of complex Ethernet behaviors, protocols, and performance models in simulation.
Collaborate closely with hardware, firmware, and software teams to ensure simulation accuracy, scalability, and feature alignment with real silicon.
Balance hands-on technical guidance with strategic leadership – performing design reviews, defining best practices, and ensuring delivery excellence.
Foster a culture of collaboration, technical curiosity, and continuous improvement within the simulation organization.
What We Need to See:
B.Sc. or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
8+ overall years of software development, including 3+ years leading or managing engineering teams.
Strong programming background in Python and C/C++.
Solid understanding of networking fundamentals, Ethernet protocols, and system-level communication architectures.
Familiarity with Linux systems, CI/CD pipelines, and automation frameworks (e.g., Jenkins, Git, Docker, Pytest).
Excellent collaboration and communication skills with the ability to lead cross-functional initiatives.
Ways to Stand Out from the Crowd:
Hands-on experience in Ethernet, RDMA, or high-performance networking stack simulation.
Proven background in large-scale distributed or multi-node simulation environments.
Strong understanding of hardware/software co-design and verification methodologies.
Demonstrated success in improving simulation performance, coverage, or authenticity.
Experience with system-level debugging (synchronization, concurrency, packet tracing).

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What you’ll be doing:
Lead a team of±5engineers in the advanced technologies development
Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware
Work on impactful projects involving state-of-the-art high-performance computing hardware and software
Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology
Collaborate with NVIDIA partners and customers
What we need to see:
B.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience
10+ overall years of industry experience in system programming or related fields and 3+ years of experience leading a team
Understanding of multi core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-time
Excellent programming skills
Ability to learn complex concepts in a fast pace environment
A teammate with a can-do attitude, high energy and excellent interpersonal skills
Ways to stand out from a crowd:
Familiarity with networking protocols
Experience with open-source projects (coursework, personal, or contributions)
Working in a fast-paced and dynamic environment

Share
What you will be doing:
Develop a technical strategy to ensure Nvidia platforms adoption for selected industries, focusing on your priority industries and use cases
Establish relationships with technical leaders in organizations and communities, specifically developers, startups and ISVs within the industries.
Evangelize and develop our leadership position by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities
Lead participation in targeted customer and industry developer events and activities. Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers.
Be the key advisor to how we are differentiated. You will become a NVIDIA technology mentor and focal point for the software developer community.
What we need to see:
Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation.
Experience in several verticals/industries with good knowledge and trends in the industry.
Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.
You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience.
5+ years’ experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities.
Able to work independently and possess excellent communication skills to drive customer and internal engagements.
Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.
Execute and accelerate strategic decisions
Ability to effectively deliver value propositions for specific and targeted industries.
Ensure a positive experience for external customers and partners while working cross functionally within our organization.
Ways to stand out from the crowd:
Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.
Strong technical understanding of Data Analytics, Generative AI, Embedded System/Jetson.
Experience in network communication protocol is an added advantage.
Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions
Excellent organizational, planning, and execution skills
These jobs might be a good fit