【NVIDIA社招】5月份职位汇总-北京/上海

NVHR

公司介绍：
在二十年的时间里，NVIDIA 一直在视觉计算方面 (计算机图形的艺术与科学) 勇当先锋。
凭借我们发明的 GPU ——现代视觉计算的引擎，这一领域现已扩张到涵盖了视频游戏、电影制作、产品设计、医学诊断以及科学研究等等。
http://www.nvidia.cn/object/about-nvidia-cn.html
如有意向发送简历到 tracyw@nvidia.com          QQ: 1751315121
GPU SW:
GPU Architect: (shader multiprocessor-shander is the CPU inside the GPU-C/C++)-SH
GPU Architect: (Tegra-SOC –C/C++)-SH
GPU Architect: (CUDA/HPC/)-SH
Parallel Computing Software Engineer-(CUDA/HPC)-BJ

1.        GPU Architect (Shader)
SM (Streaming Multiprocessor/ Shader Unit) Architect
- PERFORMANCE /FUNCTIONAL MODELING, VALIDATION AND ANALYSIS OF SHADER UNIT
NVIDIA's GPUs and SOCs are world leaders in performance and efficiency, and the SM (Streaming Multiprocessor or the Shader unit) is the core of its gigantic processing power. The SM architects define, design and implement the state of the art SM architecture powering next generation GPU. They proactively solve challenging technical problems and prudently tradeoff between performance, power and cost, to deliver the best result.
RESPONSIBILITIES:
- Investigate and propose architecture ideas based on quantitative study of existing and projected SM architecture.
- Develop performance and functional simulation models and simulation infrastructure.
- Develop performance and functional test plan and tests for new SM and architectural features.
- Test and debug on simulators, RTL and real silicon.
REQUIREMENTS:
- In depth knowledge of computer architecture, with good understanding of modern ISA and microprocessor implementation techniques.
- Good understanding of GPU concept and pipeline, in terms of Graphics processing and parallel compute.
- Good mastery of C++ language and at least 3 years of C/C++ development experience.
- Experience of performance/functional modelling, profiling and analysis is a plus.
- Experience with trace-driven and execution-driven simulation model development is a plus.
- BSEE, BSCSE, or equivalent required. MS or PhD is a plus.
- Candidates with GPU shader unit design, microprocessor design and CPU/GPU performance analysis experience are Preferred.

2.        GPU Architect （CUDA）-SH
The NVIDIA GPU Computing Architecture group is seeking Regular candidates with backgrounds in computer architecture and compute science to join our effort to advance the state of parallel computing. Our team is designing the fastest and most efficient parallel architectures that power energy-efficient smart phones and the world's fastest super computers.
RESPONSIBILITIES:
•             Develop innovative HW, GPU and system architectures to extend the state of the art in performance, programmability, efficiency and reliability
Analyze and prototype key algorithms for new GPU architectures
•             Collaborate across the company to guide the direction of GPU computing, working with software, research and product teams
MINIMUM REQUIREMENTS:
•             Strong programming skills in C, C++, CUDA, Perl, Open MP, MPI or Python.
•             Strong background in computer architecture, compilers, parallel processing.
•             Experience in systems-level performance modeling, profiling, and analysis.
•             Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results.
•             Strong background in computer vision, machine learning is plus.
3. Tegra System Architect -Job Description/Qualifications:
NVIDIA is looking for world class architects for its Tegra architecture group, to make an impact to the thriving mobile markets with its Tegra SoC products.
The qualified candidate will work with a group of system architects to develop architecture models of SoC units, integrate the models into fullchip simulation platform and coordinate with ASIC engineers to shape the efficient SoC design flow.                        
As an architect in the core design team, the candidate will leverage his/her understanding in SoC architecture, knowledge in SoC design flow and the skills in software design/debugging to resolve cross functional problems, and speed up design, implementation and verification.

RESPONSIBILITIES:
Understand Tegra system architecture and develop architecture models for SoC units
Develop and maintain simulation platform to support architecture exploration, verification and pre-silicon software design
Coordinate with various IP teams to integrate their models into fullchip simulation test bench and provide support for software and verification teams
Work with ASIC people to resolve problems in the chip design flow and shape it into a productive flow that can sustain massive development activity of a global team

MINIMUM REQUIREMENTS:
BSEE/CS. Master is a plus.
Years of experience in chip design and development team (embedded software engineers who have interests in SoC architecture are also welcomed.)
Enthusiastic and self-driven candidate with strong communication and organizational skills.
Strong C programming and debugging skills. Previous experience on C++ is a plus.
Knowledge in SoC architecture and SoC design flow is a plus.
Experience on chip verification is a plus.
Perl/Python scripting is a plus.
Good written and oral English.

4.     Parallel Computing Software Engineer-(CUDA/HPC)-BJ
Description/Qualifications:         
To spearhead its breakthroughs in High Performance Computing, NVIDIA is looking for a passionate, world-class Software Engineer to work in its Developer Technology Team. 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.

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.

RESPONSIBILITIES:
- Work directly with key US developers on their scientific applications, educating them on the latest NVIDIA technologies.
- Closely collaborate with the architecture and software teams at NVIDIA to influence the design of next-generation architectures.
- Some travel to conferences and for on-site visits with developers will be required.

MINIMUM REQUIREMENTS:
- A good degree from a leading university in an engineering or computer science related discipline.
- Strong knowledge of programming languages such as FORTRAN and C/C++.
- Strong knowledge of programming techniques and algorithms.
- Strong mathematical fundamentals, including linear algebra and numerical methods.
- Experience with parallel programming, especially data-parallel using MPI, OpenMP, OpenACC or CUDA C/C++/Fortran.
- Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us and, due to unprecedented and ongoing growth, our world-class engineering teams are expanding fast. If you're a creative and autonomous Software Engineer with a genuine passion for parallel computing, we want to hear from you.




Best Regards

Tracy

APAC Staffing Team
QQ: 1751315121
Mail: tracyw@nvidia.com