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NVIDIA Compute DevTech Software Engineer
Reference:
JOB3078
NVIDIA Compute DevTech Software Engineer – Recruiting in the US, Europe, China, Japan, India, Australia
To spearhead its breakthroughs in High Performance Computing, NVIDIA is building a team with a unique and critical position within the company and is looking for passionate world-class software engineers. In this role, you will open up new domains of application for GPUs by researching and developing GPU computing algorithms, driving their adoption with key application developers, and ensuring best possible performance of GPU computing applications on current and next-generation architectures.
Main responsibilities entail educating developers on latest NVIDIA technologies, working with key developers on their applications, and closely collaborating with the architecture and software teams at NVIDIA to influence the design of next-generation architectures. Application domains include geosciences, life sciences, computer-aided engineering, computational fluid dynamics, computational chemistry, computational physics, computational finance, electronic design automation, data mining, medical imaging, and many more.
MINIMUM REQUIREMENTS:
- Strong knowledge of C/C++, programming techniques, and algorithms
- Strong mathematical fundamentals, including linear algebra and numerical methods
- Familiar with CPU system architecture and OS fundamentals
- Experience with parallel programming, especially data-parallel and/or CUDA programming, a plus
- Degree in Computer Science, Engineering, Physics, or Mathematical field (BS minimum, MS or PhD preferred)
- Good communication skills
- Good problem solving skills
- Some travel to conferences and for on-site visits with developers will be required
Candidates should send their resume to CUDAopportunities@nvidia.com
Groups:
- Medical Image Analysis and Visualization
- Building High Performance Computers and Clusters with GPU's
- GPU Computing General Topics
- Molecular Modeling
- Champion Dialog
- Lattice Quantum Chromodynamics (lattice QCD)
- Computational Finance
- Computational Fluid Dynamics
- General Linear Algebra Kernels/Solvers
- Machine Learning and Data Mining
- Data Structures and Algorithms
- GPU Computing UK
- Heterogeneous Architectures for HPC
- Distributed Computing on GPUs
- Bioinformatics and Computational Biology
- GPUs in Neuroscience
- Computer Vision
- Computational Biomechanics for Medicine
- Physically-Based Animation
- Electronic Design Automation
- GPU Computing Denmark
- Computational Mechanics
- Architecture Research and Simulation Tools
- Alternative GPU Programming Systems
- GPU and the 13 Dwarfs
- Information Retrieval on GPU
- GPU Computing Argentina
- GPU Computing Australia
- FFTs on GPUs
- GPU Computing Gems Source Code
- GPU Computing Research Forum
- GPU Computing Portugal
- Ray Tracing
- GPU Development Help
- Physics and Astronomy
- Rendering on GPUs
- Visualization on GPUs
- Simulations on GPUs
- Security/Cryptography
- Programming & Optimization
- PDEs on GPUs
- Atmospheric Science
- Signal Processing
- Power Consumption / Efficiency
- Rob Farber - Supercomputing for the Masses
- Compression
- Audio
- Video

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