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.

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Senior Deep Learning Software Engineer, Inference

We are now looking for a Senior Deep Learning Software Engineer, Inference! NVIDIA is seeking an experienced Deep Learning Engineer focused on analyzing and improving performance of DL inference! NVIDIA is rapidly growing our research and development for Deep Learning Inference and is seeking excellent Software Engineers at all levels of expertise to join our team. Companies around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in areas like LLM, Generative AI, Recommenders and Vision that has put DL into every software solution. Join the team that builds the software to enable the performance optimization, deployment and serving of these DL solutions. We specialize in developing GPU-accelerated Deep learning software like TensorRT, DL benchmarking software and performant solutions to deploy and serve these models.

Collaborate with the deep learning community to implement the latest algorithms for public release in TensorRT and DL benchmarks. Identify performance opportunities and optimize SoTA DL models across the spectrum of NVIDIA accelerators, from datacenter GPUs to edge SoCs. Implement optimizations using TensorRT, its open source tools like Polygraphy, TensorRT plugins, Triton and CUDA kernels. Work and collaborate with a diverse set of teams involving performance modeling, performance analysis, kernel development and inference software development.

What you’ll be doing:

Performance optimization, analysis, and tuning of DL models in various domains like LLM, Recommender, GNN, Generative AI.
Scale performance of DL models across different architectures and types of NVIDIA accelerators.
Contribute features and code to NVIDIA’s inference benchmarking frameworks, TensorRT, Triton and LLM software solutions.
Work with cross-collaborative teams across generative AI, automotive, image understanding, and speech understanding to develop innovative solutions.

What we need to see:

Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).
At least 5 years of relevant software development experience.
You’ll need excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus.
Prior experience with training, deploying or optimizing the inference of DL models in production is a plus.
Prior background with performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus.
GPU programming experience (CUDA or OpenCL) is a plus.

GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems posed using human language. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.” Come, join our DL Architecture team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

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.

Consumer Industry Analyst Relations and Market Intelligence Lead

We are seeking a dynamic and experienced Industry Analyst Relations professional to join our consumer marketing team. In this role, you will be pivotal in shaping our industry analyst relations efforts within the consumer technology sector. You will have a unique opportunity to design and drive NVIDIA’s consumer industry analyst relations strategy and lead the market intelligence function to identify and interact with key industry influencers. You will be working at a company that is the world leader in Artificial Intelligence computing and you’ll be immersed in a culture that thrives on innovation, creativity, and a passion to make a difference in the world. We are looking for someone who can learn quickly, adapt and work with multiple teams and projects. Want to make a difference? Come join our team!

What you will be doing:

Lead our consumer industry analyst relations program which includes gaming, creators and consumer AI.
Build a network/council of analysts and industry influencers. The council should be engaged fully to exchange ideas, improve NVIDIA presentations and help amplify NVIDIA and GeForce messages.
Provide guidance to the product and campaign teams, PR and others to best align our AR strategy with overall marketing plans
Lead Market Intelligence for consumer segments – Assess and create a portfolio of the data sets and analysts that provide teams access to timely and robust data and industry experts. Recommend and track key data services.
Work with executives, product, marketing, PR/IR/AR teams to provided needed insights and data for major presentations and communications.
Align with primary market research team to understand gaps, comparisons and drive insights.

What we need to see:

Bachelor’s degree in Marketing, Business, Economics, or a related field or equivalent experience; a Master’s degree is a plus.
12 or more years of relevant experience in industry analyst relations (or as an industry analyst) and/or significant roles that involve working with industry analysts
Experience in working with executives for data needs, analyst interactions and relationship management
Experience with providing market intelligence – understand, assess the right data needs and fits for teams and executives
Excellent communication, & project management skills
Demonstrated ability to build and maintain strong relationships with industry analysts and key stakeholders.
A self-starter who loves creatively solving problems in fast-paced environments
Resourceful and focused on goals, works well independently and establishes rapport easily
Willingness to take on responsibilities, picking up new skills to meet the needs of the business
Ability to balance many ongoing projects to meet immediate needs while keeping an eye on the overall vision and philosophy

Ways to stand out from the crowd:

Experience in analyst relations within consumer technology – gaming or consumer AI industry
Work experience that spans across market intelligence/insights
A portfolio with work samples, especially those showing business impact

NVIDIA is one of the industry’s best employers, as ranked in surveys by Forbes, Fortune, Glassdoor and other outlets. Some of the most forward-thinking and dedicated people in the world work for us. If you’re creative and a go-getter, we want to hear from you!

Technical Editor, Developer Programs

There are over 3 million developers worldwide using NVIDIA technology to create breakthrough applications in AI, data science, graphics, robotics, simulation, and more. We are looking for a motivated editor with a passion for technology and a keen eye for detail to join our NVIDIA Technical Blog editorial team. Are you an editor who enjoys improving content quality? If yes, then we’re holding a spot with your name on it.

What you’ll be doing:

Editing and refining all levels of content on the Technical Blog to ensure accuracy, clarity, and readability
Collaborating with writers and technical experts to standardize tone, terminology, style, and content layout
Assisting with content planning and the development of topics that are relevant and aligned with current trends
Influencing content strategy and navigation, helping to analyze content performance, and driving projects to improve discoverability
Providing feedback to writers to improve the quality of content

What we need to see:

A degree in English, Journalism, Technical Communication, or a related field or equivalent experience
5+ years of relevant experience
Experience with managing and aligning to a corporate style guide
Experience managing multiple projects and deadlines
Experience collaborating with diverse stakeholders and customers
Strong written and verbal communication skills
Advanced grammar skills
Basic understanding of analytics tools to track content performance

Ways to stand out from the crowd:

Familiarity with NVIDIA technology
Experience with WordPress, Adobe Analytics and HTML or other markup languages
Background with measuring content performance using web analytics
Experience improving discoverability through content metadata, SEO, and curation
A drive to improve the customer experience through information architecture best practices

Senior Technical Product Manager – NVIDIA GeForce Laptop Segment

What you’ll be doing:

Collaborate with engineering to define and prioritize product features, improvements, and innovations.
Develop and communicate a clear product vision for the GeForce lineup.
Collaborate with cross-functional teams to align product strategy with business goals.
Define key performance indicators (KPIs) and track product performance.
Continuously optimize product offerings based on data-driven insights.
Keep abreast of industry trends, competitive landscape, and customer needs.
Work closely with marketing, sales, and engineering teams to drive product adoption.

What we need to see:

Bachelor’s degree or equivalent experience in Business, Marketing, Electrical Engineering, Computer Engineering or similar field.
12+ years of relevant work experience.
Ideal candidates will have validated experience working as a technical product manager
Experience taking a product through a full life cycle: from inception, to launch, to customer management
Strong analytical, marketing, interpersonal and project management skills – a drive for results and a history of successful execution on projects
Phenomenal balance of deep technical and business knowledge
Passion for and proven understanding of building innovative products/technologies

Ways to stand out from the crowd: