We are seeking a Senior Deep Learning Research Engineer for an excellent opportunity. This role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to the advancement of generative AI technologies. You will work with pioneering methodologies and tools, crafting solutions that push the boundaries of AI capabilities.
Joining NVIDIA means being part of a phenomenal team renowned for its inventions, such as large language models (LLM's), and contributing to impactful work that influences various applications. We offer a collaborative environment that fosters professional growth. You will have the opportunity to collaborate with some of the brightest minds in the field, both within NVIDIA's global network and with leading companies worldwide, making this role perfect for those passionate about advancing AI technology and eager to make a significant impact on the future of the field.
What you'll be doing:
- Invent and build ground breaking techniques for efficient LLM's and multi-modality models.
- Contribute to NVIDIA's AI enterprise software to ensure robust and scalable solutions.
- Collaborate with internal and external teams worldwide to drive research and development in LLM's and multi-modal learning, using different professions and resources across the company.
- Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.
What we need to see:
- M.Sc. or PhD. in Computer Science, Electrical Engineering, or a closely related field or nearing completion of such a program or equivalent experience
- At least 5 years of experience
- Publications in prestigious conferences and journals like NeurIPS, ICLR, and ICML
- In-depth understanding and active research experience in LLM's models, with a track record of contributing to advancements in this area
- Extensive experience in Deep learning L and NLP.
Ways to stand out from the crowd :
- High proficiency in programming and coding
- Degree from a top-tier institution or equivalent experience in a world-class industrial research group
- Faculty membership in a top tier academic institution
- Substantial contributions to multi-modality forefront of research.
Candidates should apply with a detailed CV, publication list, and brief research statement.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
