Software Engineering Manager - Image and Data Compression Libraries

Posted 19 Days Ago
Be an Early Applicant
Hiring Remotely in CA
Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Software Engineering Manager will lead a team focused on developing advanced image and data processing solutions at NVIDIA, ensuring project execution aligns with customer goals and fostering a collaborative team environment.
Summary Generated by Built In

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:

In this role, you will be responsible for managing a team of highly skilled engineers, focusing on the development of an accelerated image and data processing solutions.

  • 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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

The base salary range is 200,000 USD - 322,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Avx
C++
Cuda
Data Compression
Image Processing
Mpi
Nccl
Nvshmem
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

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.”

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