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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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Why You'll Love This Role:
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

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What’s in it for you?
What you'll be doing:
You will be leading research, design, development, and implementation of algorithmic modules. You will perform algorithmic concepts and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constraint.
What should you have?

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Challenges
Responsibilities
Nice to Have:

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In this role you will be using AWS serverless architecture, AWS CDK and Python to design, develop, test, secure & deploy services from planning to production.
Responsibilities:
· Practice all software development life cycle in agile oriented environment
· Design and implement the infrastructure of the system.
· Research and implement sophisticated Cyber security mechanisms
· Explore new technologies and tools to keep us using cutting edge solutions
· Help guide and contribute to feature design and implementation to bring the product to the next level.
· Participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability and performance.
Bachelor’s Degree in Computer Science or Engineering related field / technology Elite unit alumni with relevant experience
· +7 years of experience in C#/Java/Python/Go, including hands-on development with .NET Core in cloud-based microservice environments
· Desire to use new technologies and understand them in depth
· Passionate about code design, high-quality code and code reviews, optimizing and challenging the status quo.
· Proactive by nature; internal drive for excellence and improvement
· Good communication skills, fluent in English, good writing skills
· Experience in enterprise scale application development in cloud/SaaS environment (AWS serverless architecture is a definite advantage)
· Experience with AWS/CDK/Python
· Solid understanding of security and networking implementation and best practices.
· Experienced with micro service/event-oriented design and development
· Experienced with modern CI/CD tools, in particular GitHub, Jenkins and Artifactory
· Experience with Containers and Orchestration tools, such as Docker, OpenShift and Kubernetes

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What you will be doing:
Design and develop the next generation of acceleration for network drivers.
Work closely with customers, understanding their products, solutions, and environments
Daily work involves all aspects of development: Design, Architecture, Coding, Production, and Verification.
What we need to see:
B.SC./ M.SC. in Computer Engineering/ScienceEngineering/CommunicationEngineering
5+ years of relevant working experience.
Experience in C/C++
Versatility, ability to work on more than 1 platform
Multitasking capable
Good knowledge of Network protocols
High Level of English
Ways to stand out from the crowd:
Knowledge of I/O embedded processor
Experience with network protocols

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