Full-Time

Senior Software Engineer

Machine Learning Systems

Cambridge Mobile Telematics

Cambridge Mobile Telematics

201-500 employees

Auto insurance telematics and fleet management

Compensation Overview

$139.3k - $174.1k/yr

+ Annual Performance Bonus + RSUs

Cambridge, MA, USA

In Person

Flexible scheduling and work-from-home policy depending on role and responsibilities.

Category
Software Engineering (2)
,
Required Skills
Software Testing
Machine Learning
C/C++
Requirements
  • Bachelor’s degree or equivalent years of experience and/or certification in Computer Science, Electrical Engineering, or related field
  • 4+ years of software engineering experience
  • Strong proficiency in modern C++ (C++11 or later)
  • Experience building high-performance, cross-platform C++ libraries deployed in production mobile environments
  • Demonstrated experience optimizing systems for CPU efficiency and memory footprint
  • Experience designing or maintaining real-time or streaming data systems with strict latency constraints
  • Strong debugging and analytical skills
  • Experience with automated testing and performance validation
Responsibilities
  • Use independent judgment and discretion to design and implement high-performance C/C++ components for real-time sensor data processing and on-device ML execution optimized for latency, memory footprint, and battery efficiency in resource-constrained mobile environments
  • Drive architectural evolution of the on-device ML runtime to support rapid algorithm iteration for over-the-air delivery
  • Evolve and optimize core runtime modules responsible for filtering, resampling, and preprocessing sensor streams
  • Translate product and algorithmic requirements into scalable, maintainable system designs
  • Collaborate with Data Science and Mobile teams to integrate and validate on-device models
  • Lead design and code reviews and drive high standards for performance, reliability, and maintainability
  • Debug and resolve production issues related to on-device algorithm behavior
  • Raise the technical bar of the team through architectural rigor and performance discipline
  • Complete any additional tasks as they arise
Desired Qualifications
  • Experience with signal processing or time-series data
  • Familiarity with on-device ML frameworks (e.g., PyTorch, TensorFlow Lite, CoreML, ExecuTorch)
  • Experience integrating C++ with Android or iOS
  • Experience building SDK components embedded in third-party mobile apps
Cambridge Mobile Telematics

Cambridge Mobile Telematics

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Cambridge Mobile Telematics provides a platform that monitors driving behavior using mobile sensors to track patterns like speed, braking, and phone usage. This technology allows insurance companies to offer usage-based policies where premiums are determined by actual driving performance rather than general demographics. By providing real-time data analytics and safety rewards, the company distinguishes itself from traditional insurers that rely on static risk assessments. The company's goal is to reduce accidents and improve road safety for everyone by encouraging and rewarding safer driving habits.

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$855M

Headquarters

Cambridge, Massachusetts

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • TPG and Allianz $350M funding scales AI models and European expansion.
  • DriveWell Fleet launches normalize data for commercial insurers.
  • Profitability supports self-funded growth after SoftBank $500M investment.

What critics are saying

  • State Farm in-house telematics erodes 40-60% revenue in 12-24 months.
  • OEMs like Tesla erode smartphone BYOD market share 50-70% in 24-36 months.
  • GDPR blocks Atlas AI deployment in Europe within 12-18 months.

What makes Cambridge Mobile Telematics unique

  • DriveWell Fusion fuses smartphone, IoT, and vehicle data for unified driving insights.
  • StreetVision identifies high-risk intersections using crash and telematics data.
  • Universal Driving Score standardizes risk assessment across 25 countries.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

Unlimited Paid Time Off

Flexible Work Hours

Company Equity

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

1%

2 year growth

1%
FinSMEs
Mar 24th, 2026
Cambridge Mobile Telematics raises $350M in strategic funding.

Cambridge Mobile Telematics raises $350M in strategic funding. March 24, 2026 Cambridge Mobile Telematics (CMT), a Cambridge, MA-based developer of AI-driven telematics and road safety solutions, raised $350m in strategic funding. The round was led by TPG (via The Rise Funds) and Allianz X, with participation from State Farm. In conjunction with the financing, CMT entered into long-term commercial agreements with Allianz Group entities to expand data-driven insurance and assistance services across Europe. The company intends to use the funds to scale its global road safety platform, advance its DriveWell Atlas AI models for real-time crash detection and risk assessment, and accelerate the adoption of its Universal Driving Score. Led by Co-Founder and CEO William V. Powers, CMT advances a vertically integrated telematics platform that processes driving data from smartphones, IoT devices, and connected vehicles. By applying AI to driving behavior, the platform helps insurers like State Farm and Allianz shift from reactive claims handling to proactive accident prevention, having already prevented an estimated 100,000 crashes across 25 countries. The company's technology is a core component of major programs like State Farm's Drive Safe & Save, providing the data layer for personalized insurance policies and real-time driver feedback. The team focuses on expanding its partnerships with automotive Original Equipment Manufacturers (OEMs) and the public sector to create a global infrastructure for safer and more sustainable mobility. 24/03/2026

Moneyweb
Mar 24th, 2026
Discovery sells half its stake in Cambridge Mobile Telematics for $49.5M

Discovery Limited has sold approximately half of its stake in Cambridge Mobile Telematics (CMT) for $49.5 million (around R831 million) through its subsidiary Vitality Group International. The disposal follows an offer from TPG Global LLC to CMT shareholders. Discovery initially invested $5 million in 2014 for a 21.67% stake in CMT, a telematics company partnering with Discovery Insure. Prior to this transaction, Discovery held an 8.7% shareholding, which has now been reduced by 49.4%. The company will continue accounting for the investment as an associate due to strategic rights and ongoing involvement. The transaction generated a disposal gain of $7.9 million (around R133 million) after costs and tax, which will be excluded from normalised operating profit for the financial year ending 30 June 2026.

Fortune
Mar 24th, 2026
CMT secures $350M from TPG and Allianz to prevent road accidents with AI telematics

Cambridge Mobile Telematics has secured a $350 million strategic investment led by TPG's Rise Funds and Allianz X, with State Farm also participating. The all-secondary deal provides liquidity to existing shareholders without dilution. The Massachusetts-based company builds AI-powered telematics software that transforms smartphones, car sensors and dashcams into real-time risk detectors. Its DriveWell Fusion platform analyses driving behaviour including hard braking, speeding and phone distraction. CMT serves nearly all of the 25 top US auto insurers and supports over 140 safe driving initiatives reaching 55 million drivers across 25 countries. Third-party estimates value CMT above $1 billion. The 16-year-old company is profitable and previously raised $500 million from SoftBank's Vision Fund in 2018.

Cambridge Mobile Telematics
Mar 24th, 2026
TPG and Allianz Lead USD 350 Million Strategic Investment in Cambridge Mobile Telematics to Accelerate AI-Driven Road Safety - Cambridge Mobile Telematics

Cambridge, MA, San Francisco, CA, and Munich, Germany — March 24, 2026 — Cambridge Mobile Telematics (CMT), the world’s largest telematics and AI company

Telematics Wire
Mar 12th, 2026
CMT enhances StreetVision platform to identify high-risk intersections and prevent road crashes.

CMT enhances StreetVision platform to identify high-risk intersections and prevent road crashes. 12th March 2026 Telematics technology company Cambridge Mobile Telematics has introduced new capabilities to its StreetVision road safety analytics platform, enabling transportation agencies to identify dangerous intersections and take preventive action before accidents occur. The latest upgrade, called Intersection Safety Insights, integrates federal and state crash data with telematics-based behavioral data to provide a more comprehensive understanding of road safety risks. By combining traditional crash statistics with real-time indicators such as speeding, hard braking, and mobile phone distraction, the platform helps authorities pinpoint exactly where risky driving behaviors are concentrated. This deeper visibility is particularly important because intersections account for a disproportionately high share of road accidents. According to data from the Federal Highway Administration, intersections are responsible for roughly 25% of traffic fatalities and nearly half of all traffic injuries in the United States, despite representing only a small portion of total roadway mileage. The new feature enables transportation agencies to analyze risk patterns at the intersection level and rank locations based on the frequency of hazardous driving behaviors. Officials can zoom into specific intersections to observe where risky maneuvers occur, detect rising trends in unsafe driving, and visualize historical crash and fatality data within the same platform. This integrated approach allows authorities to move beyond simply counting past accidents and instead focus on identifying emerging risks before serious crashes happen. The system also supports before-and-after analysis, enabling agencies to evaluate whether infrastructure improvements such as redesigned intersections, new traffic signals, or speed-calming measures are actually reducing dangerous driving patterns. According to CMT executives, bringing crash outcomes together with behavior-based risk insights enables governments and planners to allocate safety investments more effectively and prioritize high-risk locations. StreetVision is already used by transportation departments, metropolitan planning organizations, and safety agencies to support infrastructure planning and road safety initiatives such as Vision Zero programs. By delivering real-time behavioral insights alongside traditional crash data, the upgraded platform aims to help authorities intervene earlier, reduce accidents, and ultimately make roads safer for drivers, pedestrians, and communities. Post Views: 482