Jobs at Cambridge Mobile Telematics

Develop and maintain automated test infrastructure for embedded firmware, running tests on Linux servers and physical devices. Build Python test harnesses, investigate failures, and distinguish firmware regressions from infrastructure issues. Support web services, REST APIs, hardware test equipment, and microcontroller-based systems. The role requires Linux, Git, automated testing, debugging, and familiarity with embedded systems, while collaborating across global teams.

Build and operate scalable AI/ML infrastructure, model services, developer tools, and automated training, evaluation, deployment, and monitoring workflows. Manage workloads on AWS and Kubernetes, optimize model inference and resource usage, implement observability, governance, security controls, and incident response, and improve reproducibility and release processes. Partner with Engineering, ML, SRE, Compliance, and Security teams while mentoring teammates and developing reliable AI capabilities.

Designs, builds, and maintains scalable backend applications, services, and APIs for processing sensor data from smartphones and connected vehicles. Translates business requirements into technical solutions, participates in code and design reviews, supports production systems, and mentors junior developers. The role requires strong programming skills, SQL database experience, AWS experience, and hybrid work in Cambridge, Massachusetts.

Principal technical leader responsible for architecting and operating relational data marts, dbt data products, semantic layers, and shared data services. Builds scalable solutions in Databricks, Delta Lake, and Spark; owns data products through testing, deployment, documentation, monitoring, and support. Establishes governed metrics, data quality, lineage, observability, and access controls while partnering cross-functionally to resolve ambiguity. Mentors engineers, improves reusable frameworks, and supports BI, data science, and AI use cases.

Own full-cycle recruiting and technical talent sourcing across multiple channels. The Recruiter II will use advanced sourcing methods, including Boolean searches and social media recruitment, partner with hiring managers, manage recruiting projects, improve sourcing processes, and document best practices. The role requires at least two years of technical recruiting experience, strong candidate engagement skills, autonomy, and familiarity with applicant tracking systems and AI recruiting tools.

Senior QA Engineer responsible for ensuring product quality across mobile, web, and backend domains. The role designs and executes manual and automated functional, regression, performance, exploratory, and acceptance tests; maintains test plans; investigates and tracks defects; supports release readiness; and collaborates with customers and cross-functional teams. The engineer also identifies automation opportunities, evaluates failure modes, troubleshoots issues, and mentors less-experienced team members.

Implement and maintain AWS security controls, IAM, logging, monitoring, vulnerability remediation, compliance controls, network protections, and secrets management. Build secure Terraform modules and CI/CD automation, manage security telemetry and cloud security tooling, support incident response and on-call operations, and partner with engineering and security teams to operationalize secure-by-default infrastructure.

Lead cross-organization technology programs from planning through product release. Manage release schedules, roadmap priorities, risks, dependencies, compliance, security, and executive communications. Coordinate engineering, product, customer success, partners, and senior leadership to deliver scalable, high-quality mobile and AI-enabled products. Establish governance and release-management practices while driving continuous improvement and strategic alignment.

The Site Reliability Engineer will monitor and maintain production infrastructure, assist with security compliance, perform scheduled production changes, and support incident response as a level 1 responder.

Designs, builds, and operates production machine learning systems at scale. Develops deep learning models for sequential, multimodal, and spatio-temporal data supporting risk assessment, engagement, and event detection. Partners with research, product, and platform teams to deploy reliable ML products across cloud and edge environments. Responsibilities include software engineering, AWS-based deployment, complex SQL, large-scale data processing, model orchestration, and cross-functional delivery of measurable mobility and road-safety impact.

Manage client relationships from implementation through post-release success, serving as the primary internal and external contact. Partner with Sales, Customer Solutions, Engineering, QA, and Product to deliver programs, define requirements, triage enhancement requests, mitigate risks, and communicate customer priorities. Monitor business metrics, support partner engagement and growth, and coordinate complex programs with limited supervision.

Design and implement scalable cloud architectures to ingest and normalize telematics data, build front-end experiences, develop and secure APIs, optimize databases and performance, mentor engineers, lead technical direction, and ensure system reliability, scalability, and security for telematics-driven safety products.

Lead FP&A activities including annual budgeting, rolling forecasts, financial and operational KPI reporting, expense management, ad hoc strategic analyses, dashboarding for leadership and investor packs, and support for M&A diligence. Partner with functional leads to influence business strategy and prepare the company for IPO readiness.

As a Senior Fullstack Software Engineer, design and maintain scalable web applications, work across the tech stack, and mentor junior developers to improve user experience and safety.

Lead discovery, architecture, and integration planning for telematics-based insurance solutions. Translate business goals into scalable technical implementations, advise customers and internal teams, design integration architectures, support sales and RFPs, mentor other architects, and coordinate delivery across product, engineering, and partner teams. Hybrid role with occasional travel and Cambridge office presence required.

Lead implementations and integrations of CMT backend customer solutions. Design, develop, test, deploy, and operate secure, scalable integrations; collaborate with Sales, Engineers, and Solution Architects; participate in architecture reviews, sprint planning, on-call rotation, and release/deployment pipeline improvements. Conduct remote and on-site due diligence with clients and support production systems in regulated environments.

Lead product strategy and execution for DriveWell Fusion, focusing on telematics data cleansing, signal processing, and AI/ML model development. Collaborate with engineering, customers, and cross-functional teams to integrate map data, deliver actionable driving insights, and use Databricks/Tableau analytics to inform roadmap and adoption. Serve as primary product contact, prioritize features, and drive customer-facing advisory work to improve safety and engagement.

The Principal Software Engineer will lead Android SDK development, mentor other developers, collaborate on project plans, and design scalable solutions while ensuring technical excellence.