Developer Technology Engineer, Data Analytics - New College Grad at Nvidia Corporation in Santa Clara, California

Job Description:

We are now looking for a Developer Technology Engineer, Data Analytics:

Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and are becoming the bottleneck for Machine Learning (ML) and Deep Learning (DL) applications, as performance of the frameworks and core ML/DL libraries has been highly optimized leveraging GPUs. Many of today's applications have complex data analytics pipelines that can benefit from optimizations in memory management, compression, parallel algorithms like sort, search, join, aggregation, groupby, scaling up to multi GPU systems, and scaling out to many nodes. Take a look at some of the open-source projects that our Devtech team have worked on:  NVIDIA nvcomp ,  NVIDIA Distributed join ,  NVIDIA cuCollections

What you will be doing:

• In this role, you will research and develop techniques to GPU-accelerate applications across data analytics domains, e.g., ETL, ML, graphs, etc., and intersecting with DL.
  
  


• Work directly with key customers to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance on current and next-generation GPU architectures.
  
  


• Collaborate with libraries, tools, system software architecture, hardware, and research teams at NVIDIA to influence the design of next-generation programming models, software, and architectures.
  
  

What we need to see:

• You are completing a Bachelors, Masters, PhD, or equivalent experience in Computer Science, Computer Engineering, or related computationally focused science degree.
  
  


• Programming fluency in C/C++ with a deep understanding of algorithms and software design.
  
  


• Experience with parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
  
  


• In-depth expertise with computer architecture fundamentals, especially memory subsystem.
  
  


• Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
  
  

Ways to stand out from the crowd:

• Domain expertise in data analytics, e.g., ETL, ML, graph applications .
  
  


• Experience optimizing the performance of distributed systems and frameworks , Spark highly desired.
  
  


• Background with compression, storage systems, networking, and distributed systems.
  
  


• Experience with linear algebra and machine learning applications.
  
  


• Graduate degree in Computer Engineering, Computer Science, or related engineering discipline.
  
  

The Developer Technology Engineer (DevTech) plays a crucial role in the success of NVIDIA and our customers. DevTechs work with external technologists to investigate performance of their applications, design parallel algorithms and implement optimizations in a GPU accelerated computing environment. As recognized experts in the field we publish our findings in developer blogs or at relevant conferences and workshops. With visibility to our customers, the industry, and academia we are important representatives of NVIDIA as a technology leader. Within NVIDIA we contribute valuable application expertise that influences next generation hardware and software products. As critical problem solvers, we deepen our expertise, expand our knowledge, and work across domains and organizations. Whether you are a leading industry luminary or early in your career, the Developer Technology Team provides ample opportunity for growth in the exciting field of GPU accelerated computing!

NVIDIA is widely considered to be one of technology's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does contributing to and pushing the boundaries of state-of-the-art in GPU Accelerated Computing, HPC and Artificial Intelligence excite you? If so, we want to hear from you!

NVIDIA is committed to fostering a diverse 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.

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