Data Systems Software Engineer
About Danger Devices
Danger Devices Inc. is a growing, fabless semiconductor start-up headquartered in San Jose,California. We aim to deliver best-in-class products to our customers with industry-leading design cycle times. We do that with our revolutionary, modernized approach focusing on software to increase productivity in all areas from integrated circuit design all the way to testing and data analysis.
Contribute to our industry leading team of circuit experts and software specialists. We are actively looking for software engineers to strengthen our team.
Logistics
Location(s):
- Greensboro, NC
- Remote (NC, CA, WA, other states negotiable)
Reports To:
- Data Systems team lead
Types available:
- Full-time
What you'll do at Danger Devices:
Using skills and experience with software development and data analysis you will help to build an automated workflow of data from RFIC testdata to compliance reports, charts, and other means of analysis.
You will accomplish this through the following responsibilities:
- Maintaining, supporting, and improving upon internal EDA plotting software tools
- Automating the generation of product validation reports
- Developing creative solutions for data analysis
- Improving efficiencies from test data collection through analysis
- Automating everything as possible, including DevOps activities, test data flow, etc
- Working across several other teams and departments to improve data quality and flow
- Jumping in and solving problems at various levels of product development
- Other duties as deemed necessary by leadership
The skillset you'll bring to Danger Devices:
A core value of the company is innovation - and we firmly believe that innovation can only occur when we're all willing to learn. You are an avid and curious learner with:
- Software competence with Python, SQL, shell scripting and other languages/tools
- Familiarity with data analysis methodologies
- Excellent critical thinking skills
- Preferred:
- BS/MS in Computer Science, related discipline from accredited College or
University, or sufficient experience
- Experience using Google BigQuery or other data warehousing solutions
