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4 дня назад

Senior Software Engineer (Vehicle AI)

174 900 - 222 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer (Vehicle AI): Leading the design, development, and deployment of robust, scalable, and intelligent software agents for vehicle products with an accent on AI/ML principles and distributed systems. Focus on building next-generation AI agent platforms, solving architectural challenges, and optimizing performance in production environments.

Location: Hybrid in Mountain View, CA (minimum 3 times per week in office)

Salary: $174,900 - $222,000

Company

hirify.global is a global automotive leader driving a vision of zero crashes, zero emissions, and zero congestion.

What you will do

  • Lead the architecture and implementation of next-generation AI agents from concept to production.
  • Drive the technical direction and strategy for the AI agent platform to ensure scalability and reliability.
  • Collaborate with Product Managers and engineering teams to define and deliver impactful solutions.
  • Perform complex code and system design reviews, providing constructive technical feedback.
  • Identify and resolve technical debt, performance bottlenecks, and architectural challenges.
  • Integrate latest advancements in AI and machine learning into the existing technology stack.

Requirements

  • Must be based in or able to report to Mountain View, CA for a hybrid work schedule.
  • Bachelor's degree in Computer Science or a related technical field.
  • 5+ years of professional software development experience with large-scale distributed systems or AI/ML infrastructure.
  • Expert proficiency in Python, C++, Java, or Kotlin.
  • Extensive experience deploying production-grade AI/ML models or intelligent agents.
  • Proven technical leadership and experience mentoring cross-functional initiatives.

Nice to have

  • Master's or Ph.D. in Computer Science or a quantitative field.
  • Expertise in Reinforcement Learning, Multi-Agent Systems, or Large Language Models (LLMs).
  • Experience with AWS, GCP, Azure, Docker, and Kubernetes.
  • Proficiency in Android development for high-performance applications.
  • Contributions to open-source projects or relevant academic publications.

Culture & Benefits

  • Comprehensive Total Rewards package focusing on employee well-being.
  • Inclusive workplace culture fostering belonging and non-discrimination.
  • Eligibility for relocation benefits for qualified candidates.
  • Incentive pay program based on company, level, and individual performance.

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