4 days ago

Software Engineering Manager, Image and Data Compression Libraries

NVIDIA

Hybrid
Full Time
$280,000
Hybrid

Job Overview

Job TitleSoftware Engineering Manager, Image and Data Compression Libraries
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$280,000
LocationHybrid

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Job Description

Software Engineering Manager, Image and Data Compression Libraries at NVIDIA

We are now looking for a Software Engineering Manager for our Image and Data Compression Libraries. Are you passionate about leading teams developing brand-new technology? Have you ever dreamed of elevating engineering practices to the next level? As a global leader in technology, NVIDIA's innovative work in artificial intelligence and deep learning is redefining industries from image classification to natural language processing. Join us in building software that powers the future and impacts millions worldwide. Work directly with a community of creative engineers and collaborate on projects that push the boundaries of what's possible.

What You'll Be Doing

  • Lead and empower your team to successfully conduct projects that meet both internal and external customer needs.
  • Build and maintain a project roadmap that aligns with our daring goals and customer expectations.
  • Determine project goals and scope, ensuring execution and delivery.
  • Foster an inclusive and collaborative environment that promotes innovation and creativity.

What We Need To See

  • 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 overall experience, including three or more in team management, with strong interpersonal and leadership skills.
  • Experience in designing and testing large scale software backed with solid examples from past career.
  • Proficiency in C++ and Python, showcasing your technical versatility.
  • Strong communication skills, enabling direct contact and effective collaboration with the open source community.

Ways To Stand Out From The Crowd

  • Experience with image processing concepts and algorithms (e.g. geometry transformations, filtering, morphological operations, color models, etc.).
  • Knowledge of image and data compression formats and algorithms (e.g. jpeg, tiff, png, deflate, zStd, ANS, etc.).
  • Expertise in parallel programming and performance optimization on modern computer architectures (e.g., CUDA, MPI, NVSHMEM, NCCL, AVX, etc.).
  • Prior experience working with distributed teams, demonstrating your ability to manage and coordinate effectively across different locations.

Key skills/competency

  • Engineering Management
  • Image Compression
  • Data Compression
  • C++ Development
  • Python Programming
  • Team Leadership
  • Project Management
  • Performance Optimization
  • Parallel Programming
  • AI/Deep Learning

Tags:

Software Engineering Manager
Engineering Management
Team Leadership
Project Management
Software Development
Image Processing
Data Compression
Performance Optimization
Collaborative Environment
Innovation
Customer Needs
C++
Python
CUDA
MPI
NVSHMEM
JPEG
TIFF
PNG
Deflate
zStd

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How to Get Hired at NVIDIA

  • Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align with their innovative spirit.
  • Tailor your resume: Customize your application to highlight experience in image/data compression, C++/Python expertise, and successful team leadership, directly addressing NVIDIA's requirements.
  • Showcase technical prowess: Prepare to discuss past projects demonstrating large-scale software design, performance optimization, and proficiency in technologies like CUDA or image processing algorithms.
  • Emphasize leadership and collaboration: Be ready to provide concrete examples of empowering teams, building effective project roadmaps, and fostering inclusive environments, especially in open-source contexts.
  • Understand NVIDIA's AI impact: Demonstrate awareness of NVIDIA's leadership in AI and deep learning and articulate how this specific Software Engineering Manager role contributes to their market-defining innovations.

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