Software Engineering Manager - Image and Data Compression Libraries
NVIDIA
Job Overview
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Job Description
About NVIDIA and the Role
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.
Key skills/competency
- Image Processing
- Data Compression
- C++
- Python
- Team Leadership
- Project Management
- Software Architecture
- Parallel Programming
- Performance Optimization
- AI/Deep Learning
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight C++, Python proficiency, leadership in image/data compression, and large-scale software design.
- Showcase leadership experience: Provide concrete examples of team management, project roadmap development, and successful delivery.
- Prepare for technical depth: Review image processing, data compression algorithms, parallel programming, and CUDA/AVX optimization.
- Emphasize collaboration: Discuss your experience fostering innovation, building inclusive teams, and engaging with open-source communities.
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