Senior Software Engineer

Garmin

Olathe, KS

Apply

JOB DETAILS

SKILLS

Aerospace Engineering, Algorithms, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Autoscaling, C Programming Language, C++ Programming Language, Cloud Computing, Cloud Storage, Communication Skills, Computer Engineering, Computer Science, Computer Skills, Computer Systems, Continuous Deployment/Delivery, Continuous Integration, Data Science, Data Structures, Detail Oriented, DevOps, Distributed Computing, Docker, Electrical Engineering, Equipment Maintenance/Repair, Establish Priorities, GPU (Graphics Processing Unit), Interpersonal Skills, Java, Leadership, Machine Learning, Machine Tool, Machining Operations, Mathematics, Mentoring, Microsoft C# (C Sharp), Microsoft Product Family, Modeling Languages, Multitasking, Network Administration/Management, Object Oriented Design (OOD), Object Oriented Programming Methodologies, On Call, Operational Improvement, Operational Support, Organizational Skills, People Management, Performance Management, Physics, Presentation/Verbal Skills, Problem Solving Skills, Procedure Development, Process Improvement, Product Development, Production Machining, Production Systems, Productivity Management, Program Planning, Project Design, Python Programming/Scripting Language, REST (Representational State Transfer), Risk, Scripting (Scripting Languages), Software Administration, Software Architecture, Software Architecture Design, Software Design, Software Development, Software Engineering, System Architecture, Systems Administration/Management, Team Player, Technical Analysis, Technical Leadership, Technical Research, Technical Support, Time Management, Writing Skills

LOCATION

Olathe, KS

POSTED

3 days ago

Overview

We are seeking a full-time Senior Software Engineer at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will build the platforms, tooling, and infrastructure that enable scalable delivery of machine learning and large language model (LLM) capabilities across Garmin. You will partner closely with Data Scientists, Software Engineers, and Cloud/Infrastructure teams to develop self-service ML Ops solutions that reduce friction associated with model deployment, monitoring, reliability, and operational support. This is an opportunity for you to shape the future of AI enablement at Garmin by designing production-grade systems that improve the scalability, efficiency, and developer experience of enterprise AI/ML workflows.

Essential Functions

Designs, develops, and maintains self-service Machine Learning Ops tooling, platforms, and automation capabilities that improve the efficiency and scalability of machine learning model delivery
Implements and supports standardized CI/CD pipelines, model registries, deployment automation, and operational tooling for production AI/ML systems
Collaborates with Data Scientists, Software Engineers, and Infrastructure teams to reduce operational friction and improve the developer experience associated with model development and deployment workflows
Designs and implements monitoring, health check, observability, and alerting capabilities for production machine learning and LLM deployments
Researches and implements scalable infrastructure solutions for LLM deployment including autoscaling, dynamic routing, and cloud-based serving architectures
Serves in a leadership capacity as an individual contributor for carrying out software development in Python, Java, or other selected languages for new products and/or applications
May serve as a Lead Software Engineer for complex software development project designs and/or reviews architected modules and software systems supporting new technology or improving capability/performance of existing functionality
Decomposes functional requirements into well-defined tasks
Researches fundamental problems and implements algorithm solutions that are appropriate
Offers peer technical assessments in areas of expertise, new technologies and software designs
Participates in project leadership and/or program planning including providing technical input to product development plans and concept documents
Makes substantial contributions toward determination of project goal/objective feasibility and applies good judgment in setting schedules/risk taking
Mentors and provides guidance to less experienced Software Engineers (1 & 2)
Contributes to advanced technical research on new technologies
Offers process improvement suggestions and authors new procedures as appropriate
Provides reliable solutions to a wide range of difficult problems using sound problem solving techniques
Supports working hours as part of a rotating schedule to provide on call support of Garmin's 24/7 operations

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
Demonstrated proficiency with designing well architectured software systems and modules that support new technology or improve capability/performance of existing functionality
Demonstrated competence with researching fundamental problems and implementing appropriate algorithmic solutions
Demonstrated ability to serve as a lead software engineer for a complex software project
Ability to decompose functional requirements into well-defined tasks while balancing quality, quantity, and complexity in work output
Demonstrated capability to offer peer technical assessments in areas of expertise, new technologies and software designs
Mastered proficiency in writing software in C, C++, C# or Java and relevant experience and/or training in data structures or object-oriented design methodology
Demonstrated strong and effective verbal, written, and interpersonal communication skills
Must be positive, detail oriented, organized, team oriented and a driven problem solver, multi-tasker, and self-starter with the ability to prioritize and lead in a fast paced, deadline-driven environment

Desired Qualifications

Experience developing and supporting containerized and distributed systems using technologies such as Docker, Kubernetes, Helm, and cloud-native deployment platforms
Familiarity with GPU-enabled infrastructure, accelerated compute environments, and scalable inference architectures supporting machine learning and large language model (LLM) workloads
Experience working with cloud compute and storage platforms such as Microsoft, including deployment automation, networking, and infrastructure management
Knowledge of ML Ops and DevOps tooling including CI/CD pipelines, infrastructure-as-code, model deployment workflows, observability platforms, and operational monitoring solutions
Familiarity with modern machine learning frameworks, model serving technologies, and artifact management solutions such as PyTorch, Hugging Face, MLflow, or similar technologies
Experience developing automation and self-service tooling using Python, REST APIs, scripting frameworks, and cloud based orchestration technologies

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

About the Company

Garmin

Resume Resources

Free Resume Templates Free Resume Builder