Data Analyst – Michelin, Magog (Hybrid)
Michelin
Join Michelin as a Data Analyst supporting Power BI dashboards and data governance for Design-to-Manufacturing teams. Help enable data-driven decisions at the Magog research center.
Open
NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.
Software Engineer, Video Algorithms (C++ and Python) at NVIDIA – Yokneam Hybrid
Develop NVENC and NVDEC video algorithm components with C++ and Python. Optimize codec performance and help move research code into production SDK releases.
Description
- Design and implement core video architecture and algorithm components in C++ and Python
- Collaborate with architects and algorithm engineers to develop, implement, and optimize solutions
- Review code, mentor engineers from non-software backgrounds, and strengthen software engineering practices
- Deliver targeted SDK and video-stack changes that allow researchers to evaluate new ideas
- Move research code through development and into released NVENC and NVDEC SDKs
- Profile and optimize codec-stack critical paths, using CUDA when CPU optimization is insufficient
- Develop and enhance the libraries, frameworks, and tools used by the team
Requirements
- Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or Computer Engineering
- At least two years of relevant experience
- Strong command of modern C++, including C++14/17/20, templates, RAII, concurrency, move semantics, and the standard library
- Ability to write idiomatic, performant, and well-tested Python
- Strong software design judgment with attention to code quality, APIs, modularity, testability, abstractions, performance, and maintainability
- Self-directed approach and ability to learn independently
- Logical, coherent thinking and effective verbal communication
- Experience using Linux for development, including CMake, Git, debuggers, profilers, and sanitizers
- Familiarity with or interest in video compression and codecs such as NVENC, NVDEC, FFmpeg, GStreamer, x264/x265, AV1, and VVC
- Experience with CUDA or GPU programming
Benefits
- NVIDIA is regarded as a highly desirable technology employer
- Opportunity to work with forward-thinking and dedicated colleagues
- Creative and autonomous work environment
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