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NVIDIA

Designs the chips and software that power AI

Software Engineering Manager - Image and Data Compression Libraries

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.
  • At least five years of experience, including three or more years in team management.
  • Experience designing and testing large-scale software, supported by examples from past work.
  • Proficiency in C++ and Python.
  • Experience with parallel programming and performance optimization on modern computer architectures, such as CUDA, MPI, NVSHMEM, NCCL, and AVX.

Responsibilities

  • Manage a team of engineers focused on developing accelerated image and data processing solutions.
  • Lead and empower the team to conduct projects that meet internal and external customer needs.
  • Build and maintain a project roadmap aligned with company goals and customer expectations.
  • Determine project goals and scope, ensuring execution and delivery.
  • Foster an inclusive and collaborative environment that promotes innovation and creativity.

Desired Qualifications

  • Experience with image processing concepts and algorithms, including geometry transformations, filtering, morphological operations, and color models.
  • Knowledge of image and data compression formats and algorithms, including JPEG, TIFF, PNG, DEFLATE, Zstandard, and ANS.
  • Prior experience working with distributed teams and coordinating effectively across locations.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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