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
- Develop high-performance C++ software for machine vision and AI systems running on edge devices.
- Build and improve computer vision features using 3D perception and AI technologies.
- Help develop agentic AI systems to deploy, monitor, and manage a growing fleet of edge devices.
- Collaborate with senior engineers to improve the reliability, performance, and scalability of our edge platform.
- Troubleshoot, test, and optimize software running in real-world environments.
Experience
- 1 to 2 years of professional, internship, or research experience in software engineering.
- Strong programming skills in C++ and python.
- Familiarity with Linux development environments.
- Experience through coursework, projects, internships, or research in one or more of the following: computer vision, machine learning or AI, robotics, or edge computing.
- Strong problem-solving skills and eagerness to learn new technologies.
- Degree 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.
Skills Required
- 1 to 2 years of professional, internship, or research experience in software engineering
- Strong programming skills in C++
- Strong programming skills in Python
- Familiarity with Linux development environments
- Experience (coursework, projects, internships, or research) in computer vision, machine learning or AI, robotics, or edge computing
- Degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field
- Strong problem-solving skills and eagerness to learn new technologies
Kargo.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kargo.ai and has not been reviewed or approved by Kargo.ai.
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Healthcare Strength — Healthcare is described as comprehensive, extending health, dental, and vision to employees and dependents with multiple plan options. Built In indicates U.S. medical coverage is generous with high employer-paid premiums.
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Leave & Time Off Breadth — Time-off is framed as flexible and ample, including unlimited PTO and generous parental and family medical leave. These policies are positioned to support work-life balance.
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Wellbeing & Lifestyle Benefits — On-site experience features daily meals, snacks, and drinks alongside wellness credits and programs. Additional wellness and mental health supports are highlighted as part of a broad lifestyle-oriented package.
Kargo.ai Insights
What We Do
Kargo is connecting the physical world of logistics to the digital ecosystem that manages it. Our infrastructure automates the shipping and receiving process, while providing real-time visuals and data on your operations. Kargo brings efficiency and visibility not only to your warehouse, but to the entire supply chain. In solving foundational problems of the logistics industry, our team tackles complex challenges and makes a direct impact - both on the product and the industry as a whole. Join us!
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