Senior Software Engineer, Edge San Francisco

Argo AI; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Kargo is seeking a Senior Software Engineer to build high-performance C++ systems for machine vision on edge devices. You will develop perception systems using 3D computer vision and deploy AI-enabled edge infrastructure across a growing fleet of devices in real-world environments.

The role requires 5+ years of software engineering experience, strong Linux production know-how, and a background in computer vision, ML/AI, robotics, or edge computing.

Qualifications

• 5+ years of software engineering experience.
• Strong proficiency in C++ and modern software development practices.
• Experience building production systems on Linux.
• Experience with computer vision, ML/AI, robotics, or edge computing.
• Strong debugging and performance optimization skills.
• Degree or Masters in CS/CE/EE/Robotics or related field.

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 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

Edge computing

Computer vision

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field

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 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.