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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Machine Learning - **Company:** Garmin Ltd - **Location:** Overland Park, KS, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Cloud Engineering, Computer Engineering, Data Structures, Distributed Systems, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Tensorflow, Software Engineering, Software Project Management, Software Systems, Dynamic Routing, Scripting, Pytorch, DevOps Tools - Open-source, Delivery Pipeline, Large Language Models, Garmin, Kubernetes, Information Technology, Deployment Automation, HuggingFace, Machine Learning Operations, Restful APIs, Docker - **Published:** November 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=299cf07fc2764e92 ## About the Role * Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math, Physics or related field AND a minimum of 2 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, * 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 ## Description * 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