Systems Engineering Wireless Engineer – NEW GRAD (DSE02–NG)

SpiderCloud Wireless is the innovator behind the breakthrough, scalable small cell system that enables mobile operators to deliver scalable and unprecedented coverage, capacity and cloud services to enterprises and venues. It’s an exciting time to join SpiderCloud Wireless.  

The Systems Engineering and Advanced Technology team in SpiderCloud is responsible for software development of intelligent wireless (LTE/LTE-A/5G) network solutions. The team is growing and we are looking for a new member. Ideal candidate should be strong in statistical analysis and knows the fundamentals of wireless communication. Together with a highly multi-disciplinary team of engineers, scientists, strategic partners, product managers and subject domain experts, you will work on building solutions powered by big data, analytics and machine learning platforms. You will work on a best-in-class cloud computing platform, with cutting edge big data tools at your disposal while having access to experts in networking, engineering and data science. The ideal candidate will be reporting to the Systems Engineering Manager.

Responsibilities:

  • Develop carrier grade wireless solutions and innovative analytics to differentiate our solutions.
  • Transform your abstract ideas into mathematical models that is easy to understand on a piece of paper, and capable of implementing the idea in C++ /Java/Python.
  • Collaborate with other engineers and scientists to find effective solutions to technical challenges.
  • Work closely with engineers to build, test, deploy, and troubleshoot machine learning based software
  • Overcome complexities of an evolving machine learning and data science ecosystem – build our understanding on concepts like feature engineering, storage, real-time prediction, containerization, deployment of predictors, and the interplay of multiple predictive models.

Requirements:

  • Degrees in EE/CS/STAT, or comparable statistically driven science field. Ph.D. or M.S. preferred but not required.
  • Strong in wireless, statistics, and probability theory.
  • Good understanding of statistical model and machine learning algorithms: linear/logistic regression, SVM, decision trees, neural networks, etc.
  • Excellent algorithmic problem-solving skills, and the ability to implement solutions in Java, Python, and/or Scala, Go, etc.
  • Ability to access, manage, transfer, integrate, analyze complex datasets, and extracting insights using SQL, R, and Spark.
  • Experience in building predictive models for recommendations, predictions, and classifications.

Preferred:

  • Experience with LTE/5G-NSA/5G-SA standardization research and study.
  • Experience with libraries such as Spark ML, TensorFlow, Scikit-Learn, Keras. MXNet, Torch, etc.
  • Experience with working on large data sets, especially with Hadoop and Spark.
  • Experience with data visualization tools such as Tableau, D3.js, plotly.js.

Location: Milpitas, Ca

To apply for this position via email - please email your resume to: recruiting@spidercloud.com.  Please reference, “Systems Engineering Wireless Engineer – NEW GRAD”. 

To apply for this position via regular mail – please mail your resume to: SpiderCloud Wireless, Inc., Attn: HR Dept., include “Systems Engineering Wireless Engineer – NEW GRAD”, 475 Sycamore Drive, Milpitas, CA 95035.