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Software Engineer - Telematics

Applied Intuition
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Sunnyvale, California, United States$183k - $253kfull-timePosted 10mo ago

About the role

Backend-focused software engineering role developing telematics platforms and real-time telemetry data processing for cloud-based solutions. Involves designing scalable telematics backends, data pipelines, device-to-device communication, and integration of analytics and ML to support predictive maintenance and behavioral analysis.

Responsibilities

  • 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, DevOps 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

Qualifications

  • 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 NoSQL 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 DevOps 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 development environments with mission-critical, high-availability systems

Skills

Required:GoC++PythonCloud-native developmentAWS/Azure/GCPDockerKubernetesApache KafkaApache SparkgRPCREST APIsCI/CDIaC
Nice to have:MQTTNATSWebRTC

Benefits

  • base salary, equity, and benefits including comprehensive health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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