GNSS Software Engineer — Onsite in San Jose (Contract)

Protingent

San Jose (CA)

On-site

USD 90,000 - 117,000

Full time

3 days ago
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Benefits offered by this job

HDHP/POS insurance
Education reimbursement
Pre-tax commuter benefits
PTO
401k plan

Job summary

Protingent Staffing is seeking a GNSS Software Engineer for a 6-month contract in San Jose, CA, onsite.

You will analyze complex software and hardware systems, identify anomalies, perform data analysis, and document algorithms and test results while collaborating in a fast-paced engineering team.

Applicants should have a Bachelor’s or Master’s in Electrical or Geomatics engineering and strong communication skills.

Qualifications

  • Bachelor/Master in Electrical Engineering, Geomatics Engineering or relevant disciplines and more than 3-years of related experience.
  • Knowledge of GNSS positioning, measurements, and error modeling.
  • Understanding about basic machine learning is plus.

Responsibilities

  • Analysis of complex software and hardware systems to determine sources of anomalies and potential improvement.
  • Statistical data analysis to identify trends and issues with current technologies and IP.
  • Analyze customer field reports for issues relating to acquisition, tracking and/or measurement quality.
  • Analyze positioning performance. Develop, implementing and test changes necessary to resolve issues and enhance performance.
  • Prepare documentation on algorithms, software and test results.
  • Ability to multi-task effectively under considerable pressure of deadlines and easily adapt within a fast-paced environment.

Skills

GNSS positioning knowledge
Communication skills
Teamwork
Machine learning basics

Education

Bachelor/Master in Electrical Engineering or Geomatics Engineering

Tools

Jira
Gerrit
Git

Job description

Protingent Staffing is seeking a GNSS Software Engineer for a 6-month contract in San Jose, CA, onsite.

You will analyze complex software and hardware systems, identify anomalies, perform data analysis, and document algorithms and test results while collaborating in a fast-paced engineering team.

Applicants should have a Bachelor’s or Master’s in Electrical or Geomatics engineering and strong communication skills.

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