Software Engineer - Telematics

About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence.

Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

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Note:

For Epi Sci job openings, fully remote work will be considered by exception.)

As a Software Engineer - Telematics at Applied Intuition, you will be at the forefront of developing cutting‑edge telematics platforms that enable seamless communication between devices, cloud services, and enterprise systems. You will work on sophisticated backend systems that combine telecommunications and informatics to process, analyze, and manage multi‑modal real‑time telemetry data. This role offers the opportunity to contribute to the rapidly growing cloud telematics market, building scalable data processing solutions that handle millions of connected devices and support enterprise‑grade analytics platforms.

• Design and develop scalable robust telematics backend systems that process high‑volume, real‑time telemetry data streams from millions of connected devices using modern microservices architecture
• Architect and implement robust data processing pipelines using technologies like Apache Kafka, Apache Spark, and stream processing frameworks to handle telematics data ingestion, transformation, and analytics
• Develop cloud‑based data storage and analytics solutions leveraging distributed databases, data warehouses, and time‑series databases to support real‑time monitoring and historical analysis
• Implement device‑to‑device (D2D) communication systems that enable direct data exchange between connected devices, reducing latency and improving network efficiency through peer‑to‑peer connectivity
• Collaborate with cross‑functional teams including data scientists, Dev Ops engineers, product managers, and frontend developers to deliver comprehensive telematics solutions
• Work on advanced analytics and machine learning integration to derive actionable insights from telematics data for predictive maintenance, risk assessment, and behavioral analysis

• 4+ years of experience in backend software development with strong proficiency in languages like Go, C++, Python, and experience with cloud‑native application development
• Experience with cloud platforms and services such as AWS, Azure, or Google Cloud Platform, including containerization with Docker and orchestration with Kubernetes
• Knowledge of data processing and streaming technologies including Apache Kafka, Apache Spark, MQTT, NATS, WebRTC, gRPC, and experience building high‑throughput data pipelines
• Experience with database technologies including both SQL and No
  
  SQL databases, data warehousing solutions, and time‑series databases for handling large‑scale telemetry data
• Understanding of API design and development with experience in RESTful services, microservices architecture, and API security best practices
• Knowledge of Dev Ops practices including CI/CD pipelines, infrastructure as code, monitoring, and automated testing frameworks
• Strong problem‑solving skills and ability to work in fast‑paced cloud…