Senior Software Engineer, Machine Learning Systems

Cambridge Mobile Telematics • Cambridge, MA

8h

About The Position

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.
CMT is looking for a Senior Software Engineer to help build and scale our on-device ML systems within the Mobile SDK. This team owns the core C/C++ runtime that powers real-time sensor processing and machine learning across millions of mobile devices. The platform enables rapid deployment of new or updated driving behavior algorithms while maintaining strict guarantees around performance, battery usage, and correctness.
CMT is looking for a collaborative, customer-committed, and creative Senior Software Engineer, Machine Learning Systems who wants to join us in making roads safer by making drivers better!

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

Nice To Haves

• 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

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

Benefits

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities
• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• Extensive wellness, education and employee assistance programs
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level