Bachelor's Degree in a relevant field and 5+ years of experience or equivalent education/experience
Strong academic record (GPA ? 3.0)
Proficient in designing software systems that enhance technology performance
Experience leading complex software projects
Ability to break down functional requirements into manageable tasks
Expertise in C, C++, C#, or Java with knowledge of data structures and object-oriented design
Effective communication skills and a collaborative mindset
Responsibilities
Design and maintain self-service ML Ops tooling and platforms
Implement CI/CD pipelines and deployment automation for AI/ML systems
Collaborate with cross-functional teams to enhance model deployment workflows
Develop monitoring and observability solutions for production ML deployments
Research scalable infrastructure solutions for LLM deployment
Lead software development efforts in Python, Java, or other languages
Mentor junior engineers and contribute to technical research
Benefits
Comprehensive benefits program
Opportunities for professional development
Collaborative work environment
Flexible work hours
On-call support for 24/7 operations
Full Job Description
Overview
We are seeking a full-time Senior Software Engineer at Garmin's location in the Greater Denver 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
Assists design engineering as needed with component datasheet review and schematic design review
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 OR an equivalent combination of education and experience
Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
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
Outstanding academics (cumulative GPA greater than or equal to 3.5)
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
The deadline to apply to this role is Friday, November 27, 2026.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits
About Garmin
Garmin Ltd. is an American multinational technology company founded in 1989 by Gary Burrell and Min Kao in Lenexa, Kansas. The company specializes in GPS technology for automotive, aviation, marine, outdoor, and sport activities. Garmin's products serve aviation, marine, automotive, wireless, outdoor recreation, and fitness markets. The company's goal is to create navigation and communication devices that can enrich customers' lives. Garmin has offices in the United States, Europe, and Asia. The company's products are sold in over 100 countries.
