Every day, companies send their most valuable assets into the world — their people, their equipment, their reputations. For nearly three decades, Lytx has given fleets the tools to manage and protect all the assets they have in motion, helping them stay connected with their field operations so they can focus on delivering value and growing their businesses.

Lytx is building the future of its products on a scalable, cloud-first platform, fusing large-scale AWS infrastructure with the hardware that powers our in-vehicle gateways and smart cameras, plus the AI and fleet services layered on top. We're growing a small, high-output embedded team to build the edge AI behind that: work that directly affects how safely millions of drivers get home each day. Lytx's video telematics devices use machine vision and AI (MV+AI) to turn real-time sensor data into decisions that keep drivers safe — connected to a cloud platform managing a fleet approaching a million devices.

You'll Get To

Build hands-on skills across the embedded stack. Work in C, C++, and Python across x86 simulation environments and target hardware (Ambarella, Rockchip), with close guidance from senior engineers.
Contribute to the model pipeline. Help implement defined pieces of the ONNX conversion and pre/post-processing pipeline for existing models (ADAS, DMS), under the direction of a senior engineer who owns the overall design.
Support the simulation and training environment. Help maintain datasets, training pipelines, and labeling tools, learning how they connect to what ships on-device.
Learn the system. Get exposure to internal application communication, device-to-device protocols, and device-to-cloud communication over MQTT, and start contributing to small, well-defined pieces of it.
Grow your debugging and signal-processing skills. Work with senior engineers to understand why a detection succeeded or failed, and take on small, scoped fixes as your understanding grows.

What You Need

Minimum qualifications

0–2 years of experience in embedded software development (internships and co-ops count).
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
Working knowledge of C, C++, and Python.
Exposure to Linux-based systems and comfort learning across hardware platforms.
A learning mindset — comfortable asking questions and taking direction while building toward independent ownership.

Preferred qualifications

Coursework or project experience with computer vision or machine learning.
Exposure to video pipelines or MP4-based encoding/decoding.
Familiarity with AI coding tools (e.g., Claude, Gemini) as part of a daily workflow.

How We Work

You won't be handed a fully specified package — you're expected to understand the challenge, propose the solution, and carry it end to end. Small team, fast pace, high ownership.

You’re driven to succeed and so are we. At Lytx, our mission is to protect a world in motion, and we do it by building technology and partnerships that help keep people safe on the road. The way we work is guided by our shared values: Deliver for the customer, Responsibility in every outcome, Innovate with purpose, Velocity with excellence, and Elevate each other.

If you’re looking for meaningful work, a team that challenges and supports you, and the chance to grow your career while making a real impact, we’d love to meet you.

Together, we’re helping make roadways safer and saving lives!

Lytx, Inc. is proud to be an equal opportunity employer. We’re committed to building a diverse and inclusive workforce and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, gender, genetic information, uniformed service, national origin, age, veteran status, disability, pregnancy, or any other status protected by federal or state law. We are committed to providing reasonable accommodation for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email . Lytx conducts background checks on applicants who receive a conditional offer of employment in accordance with applicable local, state, federal and regional laws. Qualified applicants with arrest or conviction records will be co

Embedded Software Engineer, Edge AI at Lytx