About the role

What will you do 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:

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. Applications for this job will be accepted at least until June 19,
2026. 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure
powers global intelligence, transforming every industry. Learn more about
NVIDIA.

Which skills does this role require?

C++PythonTeam ManagementImage ProcessingData CompressionParallel ProgrammingPerformance OptimizationCommunicationLeadershipInnovationCollaborationProject ManagementSoftware DesignSoftware TestingArtificial IntelligenceDeep LearningSoftware EngineeringCUDAMPINVSHMEMNCCLAVXTeam LeadershipRemote WorkHybrid WorkTechnologyEngineeringCreative EngineeringInterpersonal SkillsDistributed TeamsAlgorithmsGeometry TransformationsFilteringProduct Strategy

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