Staff Software Engineer, Google Cloud, Applied AI, Automotive AI Agent

Requirements

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 8 years of experience in software development and working with algorithms.
• 5 years of experience with software development in one or more general-purpose programming languages (e.g., Python, C++).
• Experience building and maintaining distributed systems, cloud APIs, and mobile or embedded software development kits (SDKs).
• Experience with AI/ML technologies, Large Language Models (LLMs) or Natural Language Understanding (NLU).

Nice to Haves

• Experience in productizing and productionalizing applied ML/NLP systems.
• Familiar with LLM technologies and experience in production-grade LLM-based applications.
• Ability to optimize systems end-to-end, ensuring safety and quality in a safety-critical automotive environment.
• Passion for innovations and converting new technologies (like "Live Mode" or Agentic workflows) into tangible product value.

What You'll Be Doing

• Design, develop, and maintain scalable and reliable server-side infrastructure for the automotive AI agent platform using C++ and Go.
• Build and evolve one platform APIs, managing their lifecycle from experimental to general availability, ensuring they meet Google Cloud standards.
• Implement and integrate Google Cloud technologies and best practices, including control plane framework engine (CCFE), and ensure compliance with security and privacy horizontals (e.g., access transparency (AxT), customer-managed encryption keys (CMEK), virtual private cloud service controls (VPC-SC), data residency zones (DRZ)).
• Contribute to the design and implementation of backend systems supporting platform features, including potential monetization mechanisms.
• Write well-tested, production-ready code and participate in on-call rotations to support service reliability.

Perks and Benefits

• Opportunity to work on cutting-edge projects.
• Collaborative and impactful environment.
• Equal opportunity employer with a culture of belonging.
• Global collaboration requiring English proficiency for all roles.