Senior Algorithms Software Engineer (Data Scientist)

Overview
We are seeking a full-time
Senior Algorithms Software Engineer
(Data Scientist)
at Garmin’s U.S. headquarters in the Greater Kansas City area to join our Core Platform Technology - Sensor Algorithms Team. As a member of our sensor algorithms team you will create and implement cutting edge sensor-based algorithms that help people beat yesterday. This team’s work spans across multiple Garmin products and includes features such as activity monitoring, sports metrics, elevation-based features, and safety features.
Essential Functions

• Design, develop, and advance innovative algorithms that utilize sensors, including accelerometers, gyroscopes, magnetometers, and barometric pressure sensors.
• Explore novel and cutting-edge sensors and algorithms technologies and applications.
• Collaborate with team members and other developers in algorithm development, technical assessments in areas of expertise, peer code reviews, and software design.
• Participate in project leadership and planning, including aligning with project stakeholders and providing technical input to development plans.
• Develop embedded software solutions, primarily in C++ and C, to be used throughout Garmin’s extensive ecosystem of consumer electronics products, including smartwatches, cycling computers, and more.
• Coordinate closely with team members and product team engineers across Garmin to integrate and maintain algorithm solutions that serve our customers.
• Perform significant mathematical, statistical, and data analysis as part of the algorithm development process.
• Evaluate and understand various design tradeoffs including power consumption, cost, system constraints, reliability, and time to market.
• Offer process improvement suggestions and author new procedures as appropriate.
• Mentor less experienced Software Engineers, providing technical expertise and guidance.

Basic Qualifications

• Bachelor’s Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math, Physics or related field AND a minimum of 5 years relevant experience OR an equivalent combination of education and experience
• Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
• Experience with real-time signal processing on sensor data.
• Proficiency in writing software in C and C++ on embedded processors.
• Use of Python for signal processing, visualization, and statistical analysis.
• Experience with collaborative software development in a team environment
• Strong and effective verbal, written, and interpersonal communication skills.
• Strong quantitative, math, statistics, physics, and dynamics knowledge.

Desired Qualifications

• Outstanding academics (cumulative GPA greater than or equal to 3.5)
• Experience with inertial sensors, magnetic, and/or barometric pressure sensors.
• Experience with sensor fusion, time series analysis, Kalman filtering, and/or digital signal processing (DSP).
• Experience with data science, statistics, linear regression, deep learning, reinforcement learning, and/or other machine learning techniques.
• Experience with attitude and heading reference systems (AHRS), altimeter systems, GPS/GNSS positioning solutions, and/or inertial navigation systems (INS).
• Experience working on multiple simultaneous development projects.
• Experience debugging complex problems on embedded systems.
• Interest and ability to learn other coding languages and relevant algorithm development skills as needed.
• Excitement to create and deliver algorithms for runners, cyclists, hikers, golfers, athletes, fitness buffs, and any person seeking to beat yesterday.

*Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran’s status, age or disability.*
*This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits*