Data Center Platform Engineer in Milpitas, CA

$80K - $100K(Ladders Estimates)

KLA Tencor   •  

Milpitas, CA 95035

Industry: Manufacturing & Automotive

  •  

Less than 5 years

Posted 34 days ago

Responsibilities

At KLA, we research, develop, and manufacture the world's most advanced inspection and measurement equipment for the semiconductor industry. We enable the digital age by enabling the manufacture of ICs at the leading edge technology nodes (5 & 7 nm design rules). This is done by pushing the boundaries of optics, sensors, image processing, machine learning and computing technologies, creating systems capable of finding defects as small as 10 nm at data rates of 50 GB/second. If you are passionate about driving R&D in advanced deep learning, 3D sensor fusion, Bayesian & Physics based Machine Learning, advanced Neural & HPC architectures, come and join the over 200 PhD researchers working at KLA. We actively collaborate with research institutes all over the world with our R&D centers in the SF Bay Area, Shanghai, Tel-Aviv and Chennai.

Artificial Intelligence Group at KLA: The mission of the AI group is to foster R&D collaborations across the product groups at KLA to help them solve our customer's hardest challenges based on leading AI technologies. The group is also chartered with exploring the boundaries of computing both in traditional HPC as well as exotic computing including areas such as analog processors, optical and quantum computing.

This position will develop novel HPC architectures which enable ultra-high performance training and inference on very high bandwidth streaming video data. The ideal candidate should have an MS or PhD in HPC architectures, familiarity with Hardware Data Flow architectures and practical proven experience in building both modern scale-in and scale-out systems (Spark, Hadoop, tensorflow ) with familiarity of both SIMD as wells GP-GPU architectures. The person should also have an interest in the deep learning application space with the ability to map complex deep neural architectures to practical system implementations.

Job Description Breakdown

  • Work on understanding the computational complexity of the problem domain in high performance semiconductor inspection.
  • Design and perform experimental data analysis to gain deep understanding of the problem from low level sensor data acquisition to mapping to high level distributed computing.
  • Work with Deep Learning and Machine Learning researchers to map their solutions to enable maximum performance at a system level.
  • Write production modeling code at scale for high data rate systems

Qualifications

  • Ph.D. or Master's degree in Electrical Engineering, Computer Science, Statistics or related quantitative fields
  • Professional or research experience in one or more of the following areas: Distributed Computing (Spark, Hadoop), GP-GPU/SIMD programming, experience in scaling Deep Learning and Machine Learning frameworks (TensorFlow etc.)
  • Experience in working at various levels of the system stack (low level to high level)
  • Excellent problem solving and analytical skills
  • Proficiency in C, C++. CUDA, SIMD x86, Spark would be a plus

Minimum Qualifications

  • Doctorate (Academic) OR
  • Master's Level Degree with at least 2 years of experience OR
  • Bachelor's Level Degree with at least 3 years of experience.


Valid Through: 2019-10-11