Cambridge Mobile Telematics turns mobile and device sensor data into driving-risk scores, crash detection and claims support for insurance and fleet partners. Its AWS-native stack pairs a deep security layer (Lacework, GuardDuty, Security Hub, CloudTrail, KMS) with PyTorch, Ray and Horovod for distributed model training. Hiring skews heavily toward principal-level engineering and security, matching an active AppSec roadmap and firmware test infrastructure build.
Cambridge Mobile Telematics, founded in 2010 and headquartered in Cambridge, MA, builds an AI-driven telematics platform that measures driver behavior and risk. Partners use it to detect crashes, dispatch assistance and streamline insurance claims, with applications across connected insurance and connected fleets. The privately held company employs 201–500 people and runs offices in Budapest, Chennai, Seattle, Tokyo and Zagreb. Current hiring spans the United States, India and Hungary.
CMT runs on AWS (ECS, EKS, Lambda, SQS, DynamoDB, RDS) with Terraform and Datadog, Python and Django services, React/TypeScript front ends, and PyTorch, Ray and Horovod for machine learning.
Yes. Hiring is accelerating and concentrated in engineering and security, mostly at principal and senior levels, across the United States, India and Hungary.
CMT is headquartered in Cambridge, MA, with additional offices in Budapest, Chennai, Seattle, Tokyo and Zagreb.
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Cambridge Mobile Telematics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
