Total 4 front end developer job vacancies in Education / Training category in The United States of America

NVIDIA software powers today's breakthroughs in deep learning! To enable AI researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the deep learning software stack and ecosystem! This role will craft the fundamental technical content educating developers how to use deep learning features through video tutorials, technical blog posts, user guides, walk-throughs, and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA Deep Learning platform. Do you appreciate the value of a well-done design guide? Do you watch how-to tutorial videos next to your command-line interface? If so, we'd like your help empowering developers across deep learning training and inference.

What You'll be Doing:

• Collaborate with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content

• Deliver training material to external technical audiences through developer.nvidia.com and developer events

• Be the evangelist and champion for Deep Learning among the NVIDIA developer community

• Help channel customer usability feedback from the external community and partner with internal teams to improve NVIDIA products

• Provide code guidelines to deep learning developers by implementing samples and proof of concept applications

What We Need to See:

• Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience

• 3+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company

• 1+ year of experience with deep learning or machine learning

• Strong knowledge of Python or C/C++, programming techniques, and software development

• Strength presenting to technical audiences and generating content for developers

• Prior success juggling multiple projects at a time

Ways to Stand Out from the Crowd:

• Master's degree from a leading university in an Engineering or Computer Science related field

• 2+ years of machine learning or deep learning experience

• Advanced knowledge of modern Deep Learning software architecture and applications

• Existing public facing technical content or forum contributions

• Familiarity with TensorFlow, PyTorch, or other Deep Learning Frameworks as well as direct development experience with NVIDIA software and SDKs

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 100,000 USD - 195,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

NVIDIA software powers today's breakthroughs in deep learning! To enable AI researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the deep learning software stack and ecosystem! This role will craft the fundamental technical content educating developers how to use deep learning features through video tutorials, technical blog posts, user guides, walk-throughs, and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA Deep Learning platform. Do you appreciate the value of a well-done design guide? Do you watch how-to tutorial videos next to your command-line interface? If so, we'd like your help empowering developers across deep learning training and inference.

What You'll be Doing:

• Collaborate with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content

• Deliver training material to external technical audiences through developer.nvidia.com and developer events

• Be the evangelist and champion for Deep Learning among the NVIDIA developer community

• Help channel customer usability feedback from the external community and partner with internal teams to improve NVIDIA products

• Provide code guidelines to deep learning developers by implementing samples and proof of concept applications

What We Need to See:

• Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience

• 3+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company

• 1+ year of experience with deep learning or machine learning

• Strong knowledge of Python or C/C++, programming techniques, and software development

• Strength presenting to technical audiences and generating content for developers

• Prior success juggling multiple projects at a time

Ways to Stand Out from the Crowd:

• Master's degree from a leading university in an Engineering or Computer Science related field

• 2+ years of machine learning or deep learning experience

• Advanced knowledge of modern Deep Learning software architecture and applications

• Existing public facing technical content or forum contributions

• Familiarity with TensorFlow, PyTorch, or other Deep Learning Frameworks

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 100,000 USD - 195,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

We are looking for an outstanding and passionate research engineer who stands at the forefront of generative AI to join the Developer Tools organization at NVIDIA. We aim at shipping the best tools powered by AI to help software developers achieve the most productivity and SOL performance on NVIDIA platforms. Come be part of our team!

What You Will Be Doing:

• Study and work on SOTA generative AI models, through collaborations with NVIDIA research teams, to innovate new approaches on adapting the models for down-stream tasks that are suitable for developer tools. 

• Lead the technical direction and strategize on the next-generation AI-powered solutions for generating, debugging, and optimizing accelerated computing code.

• Work closely with platform and product teams to architect, design, and integrate AI-based features into existing NVIDIA developer tools products.

What We Need to See:

• PhD in computer science, mathematics, or related engineering fields (or equivalent experience).

• At least five years of relevant technical work experience.

• Solid knowledge of both theory and practices of deep learning, generative AI, large language models, and transfer learning techniques.

• Strong programming skills in Python, C++, or CUDA C/C++.

• Working experience with DL frameworks such as PyTorch, Tensorflow, or JAX.

• Outstanding track record of research publications or developing AI-based products.

• Excellent communication and interpersonal skills, and ability to work successfully with geographically distributed and multi-functional teams.

Ways to Stand Out from the Crowd:

• Hands-on experience with end-to-end development of generative AI solutions.

• Deep understanding of how generative AI can be leveraged for coding tasks.

• Familiar with NVIDIA GPU technology and DL software stacks (NeMo, TensorRT-LLM, etc.).

• Expert knowledge in GPU architectures and GPU programming.

• Experience and/or interests in building developer tools like debuggers and profilers.

NVIDIA is widely regarded as one of the most innovative technology companies in the industry, and we have some of the most forward-thinking and versatile people in the world. Are you creative and autonomous? Do you love a challenge and make a difference? If so, we want to hear from you.

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a hard-working and outstanding software engineer to join the Developer Tools organization at NVIDIA that aims at shipping the best AI-assisted tools to help software developers achieve the most productivity and efficiency on NVIDIA platforms. Come be part of our team!

NVIDIA is widely regarded as one of the most innovative technology companies in the industry, and we have some of the most forward-thinking and versatile people in the world. Are you creative and autonomous? Do you love a challenge and make a difference? If so, we want to hear from you.

What You Will Be Doing:

• Work closely with research, libraries, and product teams at NVIDIA to innovate new AI-assisted developer tools solutions for crafting, debugging, and profiling accelerated computing code.

• Study and adapt pre-trained large language models for downstream tasks that are suitable for developer tools.

• Architect, design, and implement AI-based features that can be coordinated into existing NVIDIA developer tools products.

What We Need to See:

• PhD in Computer Science, Mathematics, or related engineering fields, or a master's degree (or equivalent experience)

• At least three years of relevant technical work experience.

• Proven understanding of Machine Learning, Deep Neural Networks, Generative AI, and NLP.

• In-depth knowledge of C/C++, Python and first-hand experience with parallel programming with CUDA C/C++.

• Strong computer science fundamentals - algorithms and data structures, programming languages, parallel computing, and system software.

• Excellent communication and social skills along with the ability to work successfully with geographically distributed and multi-functional teams.

Ways to stand out from the crowd:

• Hands-on experience with LLMs, and real-world DL application development - from training to deployment.

• Familiar with NVIDIA GPU technology and DL software stack (NeMo, TensorRT, etc.)

• Experienced knowledge in GPU architectures and GPU programming.

• Published papers on DL/ML in the last 5 years.

• Experience and/or interests in building developer tools like debuggers and profilers.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.