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
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Applied Math, or related field, or equivalent experience
- At least five years of overall experience, including three or more years in team management
- Experience designing and testing large-scale software with demonstrable examples
- Proficiency in C++ and Python
- Strong communication skills, including collaboration with the open source community
- Experience with image processing concepts and algorithms (geometry transforms, filtering, color models, etc.)
- Knowledge of image and data compression formats and algorithms (jpeg, tiff, png, deflate, zStd, ANS, etc.)
- Expertise in parallel programming and performance optimization on modern architectures (CUDA, MPI, NVSHMEM, NCCL, AVX, etc.)
- Prior experience working with distributed teams
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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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