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Principal Software Engineer, In-Vehicle AI

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Full Stack Developer, Software Architect
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Define and build driver-facing capabilities from concept through production
  • Own features end to end, from driver requests and conversational behavior through on-device fulfillment, vehicle integration, UI, validation, and iteration
  • Write production Kotlin and contribute to Python-based agent definitions, NLU, LLM orchestration, APIs, and connected services
  • Rapidly prototype experiences, evaluate them in realistic vehicle environments, and turn successful ideas into reliable products
  • Partner with Product, UX, conversation design, vehicle software, systems, platform, safety, privacy, and validation teams
  • Make pragmatic tradeoffs involving customer value, speed, reliability, latency, offline behavior, resource constraints, maintainability, and driver distraction
  • Diagnose complex issues across application, assistant, vehicle, and cloud boundaries
  • Use AI-assisted development workflows for design, implementation, testing, debugging, and codebase understanding
  • Establish reusable engineering patterns and lightweight workflows
  • Mentor engineers through implementation, design reviews, code reviews, and direct technical collaboration
  • Help shape the roadmap for in-vehicle AI experiences and identify opportunities from emerging technology
  • Staff scope: independently own a major capability or product domain and lead ambiguous cross-functional initiatives
  • Principal scope: shape technical and product direction across multiple capabilities and resolve architectural and organizational boundaries
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience
  • Staff:
    Minimum 8+ years of experience building and shipping production software
  • Principal:
    Minimum 10+ years of experience building and shipping production software
  • Strong hands-on software development skills in Kotlin, Java, C++, Python, or a comparable language
  • Ability and interest to work primarily in Kotlin and Android
  • Record of independently delivering complex, user-facing features across multiple components or systems
  • Ability to turn ambiguous customer or business goals into concrete designs, incremental plans, and working software
  • Strong system-design, debugging, testing, and operational-quality judgment
  • Experience leading technical work across organizational or functional boundaries
  • Clear communication with engineers, designers, product partners, and technical leadership
  • Demonstrated ability to learn unfamiliar technologies quickly and apply them pragmatically
  • Experience using modern AI-assisted software-development workflows effectively and responsibly
Core Competencies

Demonstrates expertise in building and shipping production software with a focus on Kotlin and Android, while effectively leading cross-functional initiatives and mentoring engineers. Capable of transforming ambiguous goals into concrete designs and delivering user-facing features across multiple systems.

Highest-signal resume keywords
  • Kotlin Development
  • AI-Assisted Software Development
  • System Design
  • Cross-Functional Leadership
  • User-Facing Feature Delivery
ATS Optimization Keywords Hard Skills
  • Kotlin
  • Java
  • C++
  • Python
  • Software Development
  • Debugging
  • Testing
  • Operational Quality Judgment
  • System Design
  • Feature Delivery
Soft Skills
  • Clear Communication
  • Mentoring
  • Collaboration
Certifications & Qualifications
  • Bachelor’s Degree in Computer Science
  • Engineering Degree
Industry Keywords
  • Driver-Facing Capabilities
  • Vehicle Software
  • AI Experiences
  • Product Roadmap
  • Emerging Technology
Tools & Technologies
  • APIs
  • NLU
  • LLM Orchestration
  • Connected Services
  • Vehicle Integration
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