Algorithm Research Engineer
San Jose, CA, United States
Solidigm
At Solidigm, we focus on exceptional innovation in NAND flash memory solutions. Solidigm technology unlocks data’s unlimited potential for customers with the most advanced SSD data storage products on the market today. Unlock your data with...Company Description
SK Hynix Memory Solutions America Inc. (SKHMS America) provides industry-leading controller hardware, advanced flash management systems, and firmware for NAND and post 2D-NAND based storage solutions spanning Enterprise, Client and Mobile market segments. We are part of the world's top tier semiconductor supplier, SK hynix, offering Dynamic Random Access Memory chips (DRAM), Flash memory chips (NAND Flash) and CMOS Image Sensor (CIS) for a wide range of distinguished customers globally.
SKHMS America offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth.
Job Description
We are looking for a senior level algorithm engineer who is an expert of advanced technologies in machine-learning/deep-learning, error correction codes (ECC) and signal processing, strong analytical skill and decent knowledge of hardware and software engineering. He/she will be working on:
- Future generation ECC architecture and algorithm.
- Machine-learning/deep-learning applications in enterprise SSD’s
- GPU based ML/DL algorithm development
- Data analysis and statistical NAND channel modeling
- Decent knowledge of enterprise SSD.
- Knowledge on other cutting-edge technologies such as in-storage/memory computing, block-chain, quantum computing, is a plus.
- The candidate should have decent software and mathematical analysis skills on signal processing, statistical analysis & modeling and preferably ECC algorithms.
Qualifications
- PhD or Master in CS or EE required, PhD preferred
- Strong problem solving skills
- Strong software skills on Python, C/C++, Matlab, R, Java etc.
- Good background on probability theory, statistical analysis, optimization, modeling.
- Excellent verbal and written communication skills required
Additional Information
All your information will be kept confidential according to EEO guidelines.Tags: Architecture C++ Data analysis Engineering GPU Machine Learning Matlab PhD Probability theory Python R Research Statistics
Perks/benefits: 401(k) matching Career development Health care
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