Software Engineer, Telematics

United States Digital Space LLC; Toronto; Hybrid; CAD 108,000 - 135,000; Full time

Benefits offered by this job

Extended health and dental

Mental health benefits

Family building benefits

Child care and pet benefits

Health Care Savings Account

RRSP plan with company match

Flexible paid time off

Paid parental leave

Subsidized commuter benefits

Ride credits

Job summary

United States Digital Space LLC in Toronto is seeking an experienced backend software engineer for the Telematics team. You will process petabytes of sensor data, build risk-aware features, and collaborate with data scientists and product managers across geos to deliver robust, scalable services.

The role requires 4+ years in backend engineering, microservices, and API design. Expect a hybrid on-site schedule with flexible PTO and comprehensive health benefits.

Qualifications

• 4+ years of software engineering experience.
• Backend development for large distributed systems.
• Experience with Spark batch processing and large-scale data.
• Library development and ML model production experience optional.
• Defining API schemas in microservices.
• Experience with S3, Parquet and data lake/warehouse tooling.

Responsibilities

• Champion safety and affordability objectives with risk insights for multiple teams.
• Lead medium to large projects with end-to-end execution and reliability.
• Collaborate with Data Scientists to productionize models from raw signals.
• Reduce latency and improve accuracy of back-end and on-device models.
• Unblock team members and maintain Telematics systems to lower tech debt.
• Collaborate with product management across geos on ambitious roadmaps.

Skills

Python

AWS

Spark

SQL

Databricks

APIs

Tools

Kubernetes

Apache Airflow

S3

Parquet

Presto

Databricks

Job description

At the company, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

We are looking for an experienced backend software engineer to join our Road Safety & Telematics team. At the company, Telematics data is used to make the company safer by reducing the frequency and severity of accidents, which in turn also makes the company more affordable for riders and a better way to earn a living for drivers. The Telematics team acts as a platform team that processes petabytes of mobile sensor data — millisecond-level IMU, gyroscope, and GPS signals — through a series of DAG-based transformations and ML model inferences to detect harsh driving events and convert them into normalized risk features that other the company services consume.

Our technology stack runs on AWS, Kubernetes, Spark, and Apache Airflow. In this role, you'll work closely with data scientists, actuarial teams, other backend and data engineers, and product management — partnering across geos to build risk-aware products that rank and reward safe drivers, help off-board unsafe ones, notify drivers in real time, and give claims agents the tools to understand exactly what happened in a ride. You'll also be a key technical partner to our insurance team as they optimize coverage costs and provider relationships.

If you are a seasoned engineer with a passion for innovation, high-volume data pipelines, microservices, working in cross-disciplinary environments and possess the skills to ensure the ongoing maintenance and improvement of services, you will thrive on our team!

You can read about some of the products that Telematics powers in this blog post: https://www.the company.com/blog/posts/lyfts-impact-on-road-safety

Responsibilities:

• Be a champion of the team's safety and affordability mission, serving as a reliable source of risk insights for teams across the company — from driver ranking and safety rewards to accident claims resolution and insurance strategy.

• Lead medium to large projects, ensuring end-to-end execution with a focus on high quality and reliability.

• Work cross-functionally with Data Scientists to productionize models that turn raw sensor signals into harsh-event detection and risk features, driving the team's industry-leading innovation in this space.

• Drive future work to reduce latency, simplify, and improve the accuracy of both our back-end and on-device models that predict accidents before they happen.

• Actively unblock and support team members, fostering a collaborative and efficient work environment.

• Take a lead role in the ongoing maintenance of our Telematics systems, reducing tech debt and operating costs through sensible, data-driven design decisions.

• Collaborate with product management and leadership across geos to define and execute ambitious roadmaps for Telematics.

• Apply the latest AI tools to boost engineering and business productivity, sharing what you learn with the team.

• Utilize your expertise in Python, AWS, Spark, SQL (Databricks/Presto), etc. to deliver robust and scalable solutions.

• Participate in our team's on-call rotations, respond to incidents, and support other teams in mitigating customer-impacting events.

Experience:

• 4+ years of software engineering industry experience

• Experience in backend software development of large-scale distributed systems

• Experience and/or interest in running large batch processing jobs with Spark or other large scale compute architectures

• Experience and/or interest in Library development

• Experience and/or interest in serving, versioning, monitoring ML models in production environments

• Experience defining API schemas and developing backend services in a microservices environment

• Experience with S3, Spark, Presto, Parquet, Databricks

• You're a great communicator, and can advocate for your proposals while also empathizing with your cross-functional teammates' goals and priorities

• You collaborate well with a geographically distributed team

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits

• Mental health benefits

• Family building benefits

• Child care and pet benefits

• Access to a the company funded Health Care Savings Account

• RRSP plan with company match to help save for your future

• In addition to provincial observed holidays, salaried team members are covered under the company's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service

• the company is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.

• Subsidized commuter benefits and the company ride credits

the company is committed to creating an inclusive workforce that fosters belonging. the company believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. the company also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

the company highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. the company considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks the company offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area isCAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

the company may use artificial intelligence to screen applicants, however, the company employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.