Applications Engineer, Mobile/Edge Technology

1 Hour ago • 5 Years + • Mobile Development

Job Summary

Job Description

Gather AI is seeking a forward-thinking Applications Engineer specializing in Mobile/Edge Technology to build cutting-edge interfaces for warehouse environments. The role involves developing applications for mobile (iOS and Android) edge-compute devices, enabling seamless coordination between human operators and autonomous/AI-driven systems. You will contribute to the Material Handling Equipment (MHE) Vision platform, enhancing the user experience and integrating data from cameras, ML inference engines, and on-forklift iPad applications. Additionally, you'll improve the iOS-based autonomous drone control application, debug core software, and assist with build and test automation. The ideal candidate has experience architecting embedded iOS applications, working with computer networking, and a strong interest in complex multi-agent systems, akin to designing a multiplayer video game to guide operators.

Must have:

BS in Computer Science/Engineering or equivalent
Minimum 5 years of embedded application development experience
Proficiency in Objective-C and Swift, comfort with C++
Leverage AI/LLM technologies
Exposure to embedded/application ecosystems (Linux, iOS, Android)
Solid networking and multi-threading experience

Good to have:

Startup or small, fast-paced company experience
Cross-platform application development (React Native)
Developing CPU-constrained, soft real-time applications
Familiarity with MQTT, automotive/embedded interfaces, ROS
Cloud system interactions, external APIs, local storage
CI/CD testing tools and enterprise app deployment
Passion for robotics or real-time multi-agent technologies

Perks:

Equity compensation
Comprehensive health insurance
Very flexible schedule
Customized PTO
Relocation assistance

15 skills required

15 skills required for this role

Add these skills to join the top 1% applicants for this job

problem-solving

github

cpp

lqa

react

networking

linux

computer-vision

ci-cd

objective-c

firebase

github-actions

swift

multiplayer

react-native

Job Details

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About You

We’re looking for a forward-thinking engineer to help build cutting-edge interfaces on mobile (iOS and, eventually, Android) edge-compute devices used in warehouse environments. You’ll take on the challenge of enabling seamless coordination between human operators and autonomous/AI-driven systems.

The ideal candidate has experience architecting and implementing embedded iOS applications with complex logic or workflows, and is looking to design interactive applications that fuse information from human operators with ML/computer vision informed feedback about the real world. You should be comfortable working with computer networking and have experience—or a strong interest—in complex multi-agent or multi-actor systems. Think of it like designing a multiplayer video game, where your application integrates inputs from various sources (e.g., cameras, forklift operators, ML/computer vision pipelines, and real-time localization systems) to infer the current state of the forklift and guide the operator toward the next best action.

What You'll Do

Contribute major features to the application (including UI/UX) of our Material Handling Equipment (MHE) Vision platform - gather insights from cameras, an ML inference engine, and an iPad application mounted locally on forklifts; guide operators to take the right action based on what we are seeing/observing in the world.
Develop major improvements to our iOS-based autonomous drone control application, including debugging and potentially working with the drone's core software.
Become a reliable resource for identifying and fixing issues in both MHE Vision and drone products.
Assist with build and test automation, such as by introducing tools to streamline remote development and debugging (for yourself and the team).
Build great tools that verify the proper function of complex, multi-agent/multi-actor systems.

What You'll Need

BS in Computer Science/Engineering or equivalent technical experience.
At least 5 years of experience in developing embedded applications (e.g., iOS, C++, Android) or related technologies.
Proficiency in Objective-C and Swift, and comfort with C++, as our dual-platform application incorporates C++ logic that powers our drones.
Ability to leverage the latest AI/LLM technologies to accelerate development.
Exposure to embedded/application ecosystems (Linux, iOS, Android).
Solid networking and multi-threading experience - good architectural intuition.

Bonus points for...

Prior experience in a startup or small, fast-paced company environment.
Experience building cross-platform (iOS and Android) applications, e.g. by using React Native.
Experience or interest in developing CPU-constrained, soft real-time applications (e.g., video games).
Familiarity with frameworks and technologies like MQTT, automotive/embedded interfaces, and ROS.
Experience with cloud system interactions, external APIs, local application storage, and other features common in iOS or embedded applications.
Experience with CI/CD testing tools and software release via enterprise app deployment lifecycles (e.g., Fastlane, GitHub Actions, Firebase).
A passion for robotics or other real-time multi-agent technologies, and the unique challenges found in this space.