Nvidia designs and sells GPUs for gaming, cryptocurrency mining, and professional applications; the company also sells chip systems for use in vehicles, robotics, and more. Nvidia’s Compute and Networking business segment, which includes artificial intelligence (AI), is the company’s biggest revenue generator.

Camera Testing Intern – Spring 2025

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

 

We are the Sensor Systems Engineering team responsible for design specification and evaluation of reference sensors for NVIDIA products. Our robotics and automotive platforms use a wide array of sensing technologies from RF, optical, ultrasonics to MEMS. We are currently looking for an intern with a solid imaging background to join our team to conduct comprehensive evaluation on the latest developments in automotive image sensor technologies. By collaborating with the team and image sensor vendors, you will craft the next generation imager benchmark protocol to guide our image sensor selection. Do you want to work on state of the state technology like autonomous vehicles ? If you are passionate about photography and want to learn more about the constellation of sensors we use, this is a perfect opportunity to work with a phenomenal team!

 

What you’ll be doing:

• Design sensor characterization test protocol with camera engineers
• Bring up image sensor evaluation kit HW platforms and SW tools
• Collect image data and craft scripts to automate data gathering
• Analyze the data and extract sensor performance metrics
• Write data capture instruction and form sensor evaluation test report template
• Present and review data with the project team members

 

What we need to see:

• Pursuing a MS/PhD degree in Computer Science, Optical Sciences or related field
• Proficient in solving/debugging issues with device drivers interfacing HW/SW and good root cause analysis methodology.
• Strong programming skills in python
• Excellent data analysis and summarization skills for efficient reports and presentations.
• Prior experience in camera, imaging, optics, or color science related

 

Ways to stand out from the crowd:

• Familiarity with image quality metrics and automotive image sensor technologies
• Some prior experience working with optical testing equipment
• Enjoy building testing stations in laboratory or field environment
• Experience working in a Unix environment

 

​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 hourly rate for our interns is 18 USD – 71 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis. ​

 

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.

Senior Video AI Architect

NVIDIA is seeking a passionate and experienced engineer for our video IP team to develop innovative AI algorithms in the field of video compression/processing. You will work on DL/ML based algorithms and next generation of encoder and decoder HW algorithm/architecture. If you are passionate about the latest deep learning and video compression research and motivated to prototype ground up algorithms with a keen focus on delivering impactful solutions, then this role will be a great fit for you!

 

What you’ll be doing:

• Research and development into deep learning networks for video compression, video pre/post processing.
• Video codec algorithm / HW architecture development
• Modeling of multimedia hardware.

 

What we need to see:

• Master’s degree or PhD in Electrical Engineering, Computer Science, or equivalent experience.
• At least 6+ years industry experience in deep learning and/or video compression field.
• Hands on experience with PyTorch / Tensorflow is must have.
• Hands on experience with video codecs such as H264 (AVC)/H.265 (HEVC)/AV1 is must have.
• Excellent C/C++ and Python programming skills.
• Good communication skills.

 

Ways to stand out from the crowd:

• Prior experience with the successful delivery of AI features in products.
• Research/development experience into video compression standards (H.264/HEVC/AV1).
• Experience with GPU optimization frameworks, Tensor RT or cuDNN.

Solutions Architect Manager, Generative AI

We’re looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor and leader to our customers and partners and will work on exciting projects focused on Generative AI and Large Language Models. You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs, Deep Learning and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!

 

What you’ll be doing:

• Lead, mentor and grow a team of solutions architects passionate about Generative AI
• Partner with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
• Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform
• Work closely with customers to help them adopt and build solutions using NVIDIA technology
• Some travel to conferences and customers may be required

 

What we need to see:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
• 8+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs
• 3+ years of experience leading a team
• Experience with modern Deep Learning software architecture and frameworks
• Strong fundamentals in programming, optimizations and software design
• Excellent knowledge of theory and practice of DL and LLMs
• Experience in technical leadership and strong understanding of NVIDIA technologies
• Excellent presentation, communication and collaboration skills
• Desire to be involved in multiple diverse and creative projects

 

Ways To Stand Out From The Crowd:

• Experience in team leadership and management
• Experience with DL training at scale, deploying or optimizing DL in production
• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
• Familiarity with parallel programming and distributed computing platforms

Technical Product Manager

We are currently seeking a dynamic individual to join our team as an DGX Technical Product Manager who can move and adapt quickly to changing needs.

 

What You’ll Be Doing:

• Translate high level customer and application needs into detailed technical requirements for product capabilities around storage and network acceleration
• Define the go-to-market strategy and contribute to the cross-functional implementation of the plan across Marketing, PR, Sales, etc.
• Collaborate with DGX partner ecosystem to create an integrated solution blueprint.
• Work with engineering and core infrastructure teams on technical architecture, API design, usage dashboards, security and enterprise readiness.
• Work with customers to collect technical feedback and use it to drive future roadmap Partner with Technical Marketing teams on demos and product marketing teams on product positioning and messaging.
• Perform technical competitive analysis of other offerings in the market.

 

What We Need To See:

• Bachelor’s Degree in a quantitative field (e.g., Applied Math, Computational Science, Computer Science, Machine Learning, etc.) or equivalent experience
• 12 + years of proven experience as a technical product manager, data scientist, data engineer, machine learning engineer, or similar role
• Hands on work with data science or deep learning with emphasis on data movement, and network interaction
• Analytical approach and ability to synthesize user research, engineering feasibility, and market trends into product strategy
• Outstanding interpersonal skills with a validated ability to articulate a value proposition to technical and non-technical audiences.
• Expertise in deploying enterprise solutions and use of cloud-native technologies on public cloud infrastructure (Docker containers, Kubernetes, service-oriented architecture).
• Ability to manage concurrent projects and priorities in a dynamic environment.

 

Ways To Stand Out From The Crowd:

• Hands on experience in system administration, networking and/or storage technologies.
• Experience collaborating with and contributing to open-source projects.
• Strong programming skills and familiarity with CUDA and GPU fundamentals.