Embedded Software Engineer, Edge AI

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Lytx, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1998

🚘 Automotive

📦 Logistics

💼 Consulting

Automotive • Logistics • Consulting

Lytx, Inc. is a leading provider of video safety and video telematics solutions designed to enhance fleet management. The company offers a range of products including fleet management applications, advanced fleet dash cams equipped with machine vision and artificial intelligence, and services to streamline compliance and improve driver safety. Lytx aims to improve operational efficiencies, manage compliance, and increase driver safety by utilizing video technology to reduce costs and enhance fleet productivity. Through its award-winning technology and long-standing industry experience, Lytx serves a diverse range of fleets, providing tools for real-time tracking, preventative maintenance, and driver coaching.

📋 Description

• Work in C, C++, and Python across x86 simulation environments and target hardware (Ambarella, Rockchip) • Implement defined pieces of the ONNX conversion and pre/post-processing pipeline for existing ADAS and DMS models under senior engineer direction • Help maintain datasets, training pipelines, and labeling tools • Learn and contribute to internal application communication, device-to-device protocols, and device-to-cloud communication over MQTT • Debug detection successes and failures with senior engineers • Take on small, scoped embedded software and signal-processing fixes • Understand challenges, propose solutions, and deliver work end to end

🎯 Requirements

• 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 • Comfort learning across hardware platforms • Comfortable asking questions and taking direction while building toward independent ownership • Coursework or project experience with computer vision or machine learning • Exposure to video pipelines or MP4-based encoding/decoding • Familiarity with AI coding tools such as Claude or Gemini as part of a daily workflow