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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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We’re looking for a Senior Product Manager to lead Orca’s Data & AI Security product offerings – including Data Security Posture Management (DSPM), and a broad AI Security portfolio covering AI Security Posture Management, AI Bill of Materials (AIBOM), model protection, and runtime safeguards, as well as related detection and prevention capabilities.
This is a high impact, cross domain role at the intersection of data protection, cloud security, and emerging AI technologies. You’ll define and execute the strategy for how Orca detects, classifies, and protects sensitive data and AI assets across the cloud – from code to runtime.
You’ll collaborate with engineering, design, research and analyst teams, sales engineering, and customer success to turn complex data and AI security challenges into simple, actionable solutions that scale across enterprises.
The role is based in Israel, working closely with a remote engineering team in London and reporting to an Israeli manager based in the US.

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The Marketplace team is specifically responsible for:
Key Responsibilities:
Requirements:

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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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Product Vision & Roadmap
Cross-Functional Leadership
Customer & Market Insight
Metrics & Growth

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