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About the Role

Design, develop, and maintain software and systems for the collection, processing, and analysis of satellite navigation signals in the Space and Geophysics Laboratory (SGL).

Responsibilities

• Independently develop new data processing and analysis software using Python, C/C++, or scripting to satisfy project objectives.
• Perform analysis of observation and navigation data using established software tools, repositories and libraries.
• Contribute to analyses and characterizations of GPS/GNSS.
• Identify improvements and new methods for GPS/GNSS data collection and analysis.
• Evaluate and develop new metrics, algorithms, and processing techniques with modernized GPS and GNSS signals.
• Contribute to testing and routine assessments of GPS and GNSS receiver performance.
• Guide project reviews and technical interface meetings.
• Identify future analytical software and hardware resource requirements.
• Assist with data archive organization and maintenance.
• Further develop knowledge of GNSS and related domains.
• Mentor fellow staff and become a subject matter expert.
• Document progress and completion of work.
• Perform other related functions as assigned.

Requirements

• Bachelor's degree in Science, Engineering, Computer Science, or related field.
• Three years of related experience in Python or C/C++.
• Three years of related data analysis experience.
• Dynamic skill set, willingness to work with new technologies, highly organized, and capable of planning and coordinating multiple tasks.
• Attention to detail, effective problem-solving skills, and excellent judgment.
• Ability to work independently with sensitive and confidential information.
• Maintain a professional demeanor.
• Ability to work as a team member without daily supervision.
• Effectively communicate with all groups of clients.
• Able to work under pressure and accept supervision.
• Regular and punctual attendance.
• US Citizen.
• Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Skills

• Python
• C/C++
• Scripting
• GPS/GNSS data analysis
• Modernized GPS and GNSS signals
• GPS and GNSS receiver performance testing
• Data archive organization
• Revision control systems (e.g., Gitlab)
• Software development
• Data analysis and processing within AWS cloud infrastructure
• Digital signal processing (DSP) algorithms and techniques
• SQL
• Relational databases

Location

• PICKLE RESEARCH CAMPUS

Work Type

• Standard office conditions
• Repetitive use of a keyboard at a workstation
• Use of manual dexterity
• Some weekend, evening and holiday work
• Possible interstate/intrastate travel
• Full-time

Experience Level

• Three years of related experience
• Five or more years of GPS/GNSS coursework or experience
• Five or more years of work experience with revision control systems such as Gitlab
• Extensive experience and proficiency with Python and C/C++
• Professional experience as a software developer

Education Level

• Bachelor's degree in Science, Engineering, Computer Science, or related field.
• Cumulative GPA of 3.0 with a GPA of 3.5 in major coursework.

Salary/Compensations

• $104,000-$174,000+/negotiable depending on qualifications.

Benefits

• 100% employer-paid basic medical coverage
• Retirement contributions
• Paid vacation and sick time
• Paid holidays

About the Company

• Applied Research Laboratories is part of The University of Texas at Austin.
• Visit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories.

Equal Opportunity

• The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action.
• The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.