Software Engineer - Ride and Fleet Services
Design and implement scalable robotaxi dispatch and optimization services using Java/Kotlin, operational research algorithms, and simulation models.
Builds scalable backend services, APIs, and distributed systems for AI-driven code review tools. Requires 3-5 years experience with TypeScript/Node.js, cloud platforms, containerization, and integrating ML models into agent-based systems.
Education: Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience
Experience: 3 - 5 years of experience building backend systems and distributed infrastructure
Technical Expertise: Fluency in TypeScript and Node.js, or a similar modern backend stack; experience with microservices, async job queues, and event-driven architectures
Systems Thinking: Familiarity with cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, devops tooling, runtime infrastructure, and production observability
Engineering Craft: Strong understanding of software engineering best practices, including testing, code reviews, and version control workflows
Product Mindset: Thoughtful about trade-offs, user experience, and fast iteration
Team Leadership: Willing to mentor, lead by example, and influence technical direction without being a pure manager
Design and implement scalable robotaxi dispatch and optimization services using Java/Kotlin, operational research algorithms, and simulation models.
Builds and owns Ruby on Rails backend services for marketing technology, including CDP integrations and marketing automation. Requires 3-5 years experience with Rails, PostgreSQL, APIs, and martech tools like Braze; guides juniors and collaborates cross-functionally.
Develops and optimizes CAD graphics engine features including B-Rep modeling algorithms, GPU-accelerated rendering, and performance analysis using C++, Vulkan/OpenGL, and CUDA. Requires substantial 3D graphics experience and CAD software familiarity.
Backend engineer building and operating real-time flag delivery services at scale. Requires 5+ years production backend experience, strong Go/Java/Rust skills, distributed systems knowledge, and demonstrated AI fluency in engineering work.
Builds and maintains feature-rich open-source AI SDKs in Python and TypeScript for GenAI feature control, monitoring, and optimization. Requires 5+ years experience with these languages, AI SDK familiarity, strong testing skills, and open-source contributions.