Total 5 job vacancies by Nvidia Singapore Development Pte. Ltd.

Applied Deep Learning Research Intern

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun.

NVIDIA is searching for a world-class researcher in Deep Learning to join our applied research team. If you agree with us that the most interesting thing about the Deep Learning revolution is applying it to solve real-life problems, this team will be a great fit for you. We are passionate about Deep Learning applied to computer vision, audio, text, and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

What you'll be doing:

• Conceive Deep Learning approaches to solving particular product problems
• You'll construct and curate large problem specific datasets
• You'll design and implement machine learning techniques aimed at solving specific problems
• Collaborate with other team members, both in research and product roles
• Transfer technology to product groups

What we need to see:

• Pursuing a Master's in Electrical Engineering, Computer Science/Engineering, or related field
• Excellent knowledge of theory and practice of machine learning
• Excellent programming skills in a rapid prototyping environment such as MATLAB, Python, or C++
• Knowledge of common machine learning frameworks
• Track record of research excellence or significant product development
• Excellent communications and collaboration skills

Ways to stand out from the crowd:

• Expertise in parallel programming (e.g. CUDA)
• Knowledge of application areas, such as Computer Vision or Natural Language Processing

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. 

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you'll be doing:

As a Senior Solutions Architect in NVIDIA AI Technology Center (NVAITC), you will be at the forefront of AI research and implementation. You will:

• Lead and mentor junior technical members, encouraging a collaborative and inclusive environment.
• Collaborate with the management team to develop and implement strategic engagements and projects involving institutes of higher learning (IHLs), industry, and government, ensuring seamless delivery and implementation.
• Serve as a research & engineering subject matter expert (SME), driving internal and external collaborations with academia and industry.
• Act as the technical resource for NVIDIA technologies such as NeMo, NIMs, Omniverse, Jetson, RAPIDS, NGC, and Deep Learning toolkits.
• Be an active part of NVIDIA’s global mission to promote accelerated AI within the ecosystem by leading and supporting workshops, symposiums, and technical sharing sessions.
• Mentor collaborators, interns, and students, providing mentorship and skills training to successfully implement AI projects.
• Develop NVIDIA technology-related tutorials, demos, and workshop materials, showcasing our world-class innovations.

What we need tosee:

• 7+ proven experience with NVIDIA technologies (i.e., NeMo, RAPIDS, NGC, AI model training using accelerated AI compute, etc.).
• Expertise in AI research domains such as Foundation Models, Generative AI, and NLP.
• A PhD or equivalent experience in Artificial Intelligence or related research domains.
• A strong track record of leading and supporting research & engineering projects.
• Technical mentoring and team leadership experience in areas such as software development.
• Experience in AI ecosystem development and collaboration initiatives.
• Proficiency in coding with Python and using AI/ML libraries such as Pytorch.
• Solid understanding of deep learning, data science, and machine learning techniques.
• Excellent time management skills, self-motivation, and the ability to work both independently and within a team.
• Effective communication skills, enabling you to articulate complex concepts clearly and concisely.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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.

NVIDIA is searching for several outstanding large language model and foundation model research interns to join our Research team. We are passionate about research that pushes boundaries but also has impact in the real world. You will be part of an outstanding collaborative research team that consistently publishes at the top venues in machine learning and systems. Our existing expertise includes large language model, generative models, and so forth. Your contributions have the chance to create real impact on our products.

What you'll be doing:

Research, design and implement novel large language model and foundation models.

Perform model optimization, compression and acceleration.

Publish original research.

Collaborate with other team members and teams.

Speak at conferences and events.

Transfer technology to product groups.

Collaborate with external researchers.

What we need to see:

Currently pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering or a related field.

Strong background of theory and practice of LLM and foundation model, as well as deep learning.

Excellent knowledge of theory and practice of model compression and acceleration techniques.

Excellent programming skills in some rapid prototyping environment such as Python; C++and parallel programming (e.g., CUDA) is a plus.

Knowledge of common machine learning frameworks, such as PyTorch.

Outstanding research track record, very good publication record.

Excellent communication and interpersonal skills.

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, autonomous and love a challenge, we want to hear from you!

• Lead technical engagements with customers & partners on AV maps and localization related topics and support customers with the integration and adaptation of NVIDIA's mapping and localization solutions
• Understand the customer workflow and requirements, help in creating product roadmaps for mapping and localization
• Training customers in NV mapping features and workflows through workshops and product demonstrations
• Shaping and aligning requirements between core teams and customers
• Launching and fixing replay and simulations workflows to generate KPIs on map quality and map related feature performance 
• Debug and triage issues found during vehicle testing, provide and verify NDAS bug fixes
• Support aligning the architecture and requirements between NV, customers and map providers.
• Collaborate across different teams worldwide to support development, debugging and testing of HD Maps on various customer platforms

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, autonomous and love a challenge, we want to hear from you!

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you'll be doing:

As a Senior Solutions Architect in NVIDIA AI Technology Center (NVAITC), you will be at the forefront of AI research and implementation. You will:

Lead and mentor junior technical members, encouraging a collaborative and inclusive environment.

Collaborate with the management team to develop and implement strategic engagements and projects involving institutes of higher learning (IHLs), industry, and government, ensuring seamless delivery and implementation.

Serve as a research &engineering subject matter expert (SME), driving internal and external collaborations with academia and industry.

Act as the technical resource for NVIDIA technologies such as NeMo, NIMs, Omniverse, Jetson, RAPIDS, NGC, and Deep Learning toolkits.

Be an active part of NVIDIA’s global mission to promote accelerated AI within the ecosystem by leading and supporting workshops, symposiums, and technical sharing sessions.

Mentor collaborators, interns, and students, providing mentorship and skills training to successfully implement AI projects.

Develop NVIDIA technology-related tutorials, demos, and workshop materials, showcasing our world-class innovations.

What we need to see:

7+ proven experience with NVIDIA technologies (i.e., NeMo, RAPIDS, NGC, AI model training using accelerated AI compute, etc.).

Expertise in AI research domains such as Foundation Models, Generative AI, and NLP.

A PhD or equivalent experience in Artificial Intelligence or related research domains.

A strong track record of leading and supporting research & engineering projects.

Technical mentoring and team leadership experience in areas such as software development.

Experience in AI ecosystem development and collaboration initiatives.

Proficiency in coding with Python and using AI/ML libraries such as Pytorch.

Solid understanding of deep learning, data science, and machine learning techniques.

Excellent time management skills, self-motivation, and the ability to work both independently and within a team.

Effective communication skills, enabling you to articulate complex concepts clearly and concisely.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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.