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AI Computing Software Development Engineer, TensorRT

1 Month ago • 3 Years + • Artificial Intelligence

Job Summary

Job Description

NVIDIA's AI Computing team seeks a TensorRT Software Development Engineer to craft and develop robust inferencing software scalable across multiple platforms. Responsibilities include performance analysis, optimization, and tuning; tracking academic AI advancements and updating TensorRT; providing feedback on architecture and hardware; collaborating across teams to guide machine learning inferencing; and publishing results. The ideal candidate possesses a Master's degree (or equivalent experience) in a relevant field, 3+ years of software development experience, excellent C/C++ skills, deep learning framework experience (TensorFlow, PyTorch), and strong communication skills. The role involves working on a fast-paced team contributing to state-of-the-art AI and compute systems.
Must have:
  • Master's degree in relevant field
  • 3+ years software development experience
  • Excellent C/C++ programming skills
  • Deep learning framework experience (TensorFlow, PyTorch)
  • Strong communication skills
Perks:
  • Competitive salary
  • Generous benefits package

Job Details

We are now looking for a TensorRT Software Development Engineer!

NVIDIA is hiring software engineers for its AI Computing team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and GenerativeAI that has put DL at the “iPhone moment” for AI. Join the team which is building the inferencing software which will be used across our product lines! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.

What you'll be doing:

  • Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance

  • Performance analysis, optimization and tuning

  • Closely follow academic developments in the field of artificial intelligence and feature update TensorRT

  • Provide feedback into the architecture and hardware design and development

  • Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams

  • Publish key results in scientific conferences

What we need to see:

  • Master or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree (or equivalent experience)

  • 3+ years of relevant software development experience.

  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

  • Strong curiosity about artificial intelligence, awareness of the latest developments in deep learning like LLMs, generative and recommender models

  • Experience working with deep learning frameworks like TensorFlow and PyTorch

  • Proactive and able to work without supervision

  • Excellent written and oral communication skills in English

NVIDIA is widely considered to be one of technology’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does the idea of contributing to and pushing the boundaries of state-of-the-art AI and Compute systems excite you? Interested in getting exposure to the entire DL SW stack? Come join us and help build the GPU-accelerated DL platform used worldwide.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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