Senior Software Engineer, Edge

Industrious Ventures; San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Kargo is building a sensor platform that connects the physical freight world with a digital ecosystem to optimize dock operations and material flow in real time.

As a software engineer on the edge/AI team, you will develop high-performance C++ systems for machine vision on edge devices and help deploy scalable, distributed software across real-world environments.

Qualifications

• 5+ years of software engineering experience.
• Strong proficiency in C++ and modern software development practices.
• Experience building production systems on Linux.
• Experience designing scalable, distributed software systems.
• Experience with computer vision, machine learning or AI, robotics, or edge computing.
• Strong debugging, performance optimization, and problem-solving skills.

Responsibilities

• Build high-performance C++ systems for machine vision and AI on edge devices, processing gigabytes of data per second.
• Develop advanced perception systems using 3D computer vision.
• Build agentic AI systems to deploy, manage, and monitor a growing fleet of edge devices operating in real-world environments.
• Design and implement scalable software for distributed edge infrastructure and device management.
• Optimize system performance, reliability, and scalability across hardware and software.
• Collaborate cross-functionally with engineering and product teams to deliver production-ready solutions.
• Mentor junior engineers through code reviews, technical guidance, and engineering best practices.

Skills

C++

Linux

Distributed systems

Edge computing

Computer vision

Machine learning / AI

Debugging

Mentorship / guidance

Education

Bachelor's or Master's in CS/CE/Robotics

Job description

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time.

We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics.

Responsibilities

• Build high-performance C++ systems for machine vision and AI on edge devices, processing gigabytes of data per second.
• Develop advanced perception systems using 3D computer vision.
• Build agentic AI systems to deploy, manage, and monitor a growing fleet of edge devices operating in real-world environments.
• Design and implement scalable software for distributed edge infrastructure and device management.
• Optimize system performance, reliability, and scalability across hardware and software.
• Collaborate cross-functionally with engineering and product teams to deliver production-ready solutions.
• Mentor junior engineers through code reviews, technical guidance, and engineering best practices.

Experience

• 5+ years of software engineering experience.
• Strong proficiency in C++ and modern software development practices.
• Experience building production systems on Linux.
• Experience designing scalable, distributed software systems.
• Experience with one or more of the following: computer vision, machine learning or AI, robotics, or edge computing.
• Strong debugging, performance optimization, and problem-solving skills.
• Degree or Masters in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field.

Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.