Senior Software Engineer - AI Enablement

Garmin International, Inc.•Olathe, KS

9h•Onsite

About The Position

Garmin is seeking a full-time Senior Software Engineer for its AI Enablement team at the U.S. headquarters in the Greater Kansas City area. The role helps engineers across Garmin use AI by building systems, integrations, and shared guidance that improve everyday engineering work. The position serves in an individual-contributor leadership capacity and focuses on developing software in Python, connecting AI capabilities with engineering tools and knowledge, evaluating AI models and systems, and enabling effective AI use across the company.

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field and at least 5 years of relevant experience, or an equivalent combination of education and experience.
Cumulative GPA of 3.0 or higher as a general rule.
Proficiency in Python and working knowledge of C/C++.
Experience designing, building, and maintaining software systems.
Experience with software development quality methodologies such as design reviews, code reviews, continuous integration, regression testing, and static code analysis.
Strong verbal, written, and interpersonal communication skills.
Ability to collaborate effectively and contribute to a positive team environment.
Ability to decompose functional requirements into well-defined tasks while balancing quality, quantity, and complexity.
Ability to provide peer technical assessments in areas of expertise, new technologies, and software designs.
Ability to prioritize work, solve complex problems, and lead in a changing environment.
Experience evaluating AI-powered systems against defined criteria for correctness, reliability, or task performance.
Experience connecting AI systems to tools, APIs, or internal knowledge sources and troubleshooting their behavior.
Firm understanding of how LLM-based systems use prompts, context, and tools, including their limitations and common failure modes.

Nice To Haves

Experience integrating AI APIs into production applications or engineering tools.
Experience or working knowledge of the SDLC for embedded software development.
Experience designing context and prompts to shape AI systems effectively within token and context limits.
Familiarity with retrieval techniques such as embeddings, document indexing, semantic search, or RAG.
Experience building AI agents that use tools and carry out multi-step workflows.
Experience building AI workflows with persistent memory and event-driven automation, such as hooks that manage context, run validations, or trigger follow-up tasks.
A disciplined approach to testing AI-generated outputs and identifying errors or limitations.
Experience building evaluation frameworks that track AI quality and detect changes in behavior over time.
Experience creating shared developer tools, plugins, or technical training.

Responsibilities

Carry out software development in Python in an individual-contributor leadership capacity.
Build tools, extensions, and systems that help engineers use AI models and platforms effectively.
Develop AI plugins, skills, and agents that connect AI with Garmin engineering tools and knowledge bases.
Create repeatable patterns for configuring and applying AI in everyday engineering.
Build and maintain systems for sharing and updating AI plugins across Garmin.
Develop benchmarks to compare AI models by cost and performance.
Assess risks associated with new AI coding platform features and guide how they are enabled, configured, and used.
Research emerging AI techniques and prototype promising ideas.
Create and curate training, demonstrations, and practical guidance for effective AI use by engineers.
Partner with engineering teams to understand their needs, improve solutions, and share effective practices.