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Software Engineer, ML Dev Enablement
MotionalSoftware Engineer developing and enhancing ML infrastructure and Agentic AI tools for autonomous driving at Motional. Collaborating with researchers and engineers to optimize the ML lifecycle and training processes.
Posted 6/29/2026full-timeLas Vegas • Nevada • 🇺🇸 United StatesMid-LevelSenior💰 $123,000 - $163,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing AI tools and systems, with a strong focus on optimizing machine learning infrastructure and workflows. Proficient in cloud platforms and container orchestration, with a solid foundation in software engineering principles.
Highest-signal resume keywords
Python ProficiencyGo ProficiencyC++ ProficiencyAWS Services ExperienceKubernetes Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Engineering PrinciplesDistributed Systems KnowledgeMachine Learning Development LifecycleCloud Platform DevelopmentData Pipeline Optimization
Soft Skills
CollaborationProblem-Solving
Tools & Technologies
AWSKubernetes
Certifications & Qualifications
BS in Computer ScienceMS in Computer Science
Industry Keywords
AI ToolsML InfrastructureWorkflow AutomationDistributed Training
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsGoKubernetesPython
About the role
Key responsibilities & impact- Design, develop, and enhance Agentic AI tools and systems to automate workflows
- Drive the continuous development of our core ML infrastructure and existing CDE platform
- Partner closely with ML Researchers to profile and optimize distributed training jobs and data pipelines
- Collaborate with ML engineers and data scientists to understand complex needs
Requirements
What you’ll need- BS or MS in Computer Science or related field
- Strong knowledge of software engineering principles and distributed systems
- Strong proficiency with Python or Go or C++
- Experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes
- Experience with the various stages of the ML development lifecycle
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401k with company match
- Health saving accounts
- Life insurance
- Pet insurance