Senior Software Engineer, Edge

Kargo; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Kargo is seeking a Senior Software Engineer to join our team in San Francisco, building high-performance C++ systems for edge devices and AI-driven perception on-vehicle. You will contribute to scalable software for distributed edge infrastructure and work across hardware and software to enable real-time logistics solutions.

You will mentor junior engineers, collaborate with engineering and product teams, and help optimize system performance, reliability, and scalability in real-world

Qualifications

• 5+ years of software engineering experience.
• Strong proficiency in C++ and modern development practices.
• Experience building production systems on Linux and distributed software.

Responsibilities

• Build high-performance C++ systems for machine vision and AI on edge devices.
• Develop advanced perception systems using 3D computer vision.
• Build agentic AI systems to deploy, manage, and monitor a growing fleet of edge devices.
• 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++

Distributed systems

Edge computing

Machine learning

Linux

Performance optimization

Debugging

Education

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

Tools

Linux

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.