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Software Engineer - Machine Learning

Garmin Ltd
Overland Park, KS, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

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
+19 more
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

Job 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

Requirements

  • 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

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