Job description

We're looking for an execution-driven Engineering Manager to lead the development and deployment of our industrial computer vision and Edge AI systems. You'll manage a cross-functional engineering squad responsible for delivering high-performance edge computing infrastructure, AI visibility solutions, and the software platforms that power them.

This role bridges software development, hardware validation, and on-site deployment. You'll partner closely with Product Management to define scope, allocate resources, remove blockers, and ensure predictable, high-quality delivery - from centralized API management systems to ruggedized edge installations in real-world industrial environments.

What We Offer

Cutting-Edge Tech Stack:

Hands-on access to the latest in Edge AI infrastructure - NVIDIA GPUs, advanced camera arrays, and a modern cloud-edge architecture that most engineers only read about.

Equity Ownership:

We believe those who build the company should own a piece of it. All deserving employees receive equity - because your success and KoiReader's success should be the same thing.

Global Impact:

Your work directly transforms logistics and supply chain operations for some of the world's largest enterprises. Real scale, real stakes, measurable outcomes.

Career Growth:

A fast-moving startup where your scope expands with your ambition. No bureaucratic ceilings - just opportunity tied directly to impact.
Work at the frontier of Industrial AI - building systems that automate Fortune 500 supply chains using NVIDIA-powered edge hardware, Computer Vision, and Generative AI.

Key Responsibilities

Project Execution & Delivery

Own the end-to-end delivery of software and hardware-integrated projects, including large-scale computer vision and tracking systems (e.g., OCR systems, smart warehouse, smart yard solutions). Set realistic timelines, manage sprints, and ensure the team consistently meets its delivery commitments.

Team Leadership & Mentorship

Manage and mentor a team of 5–10 engineers. Conduct 1-on-1s, guide career development, remove blockers, and foster a culture of high performance, psychological safety, and clear communication.

Process Optimization

Know when to follow the process and when to adapt it to maximize throughput and quality.

Hardware & Infrastructure Coordination

Oversee validation and deployment of edge computing hardware, including high-performance GPUs (NVIDIA, AMD), advanced processors (AMD Ryzen, Intel), and specialized camera arrays.

Site Deployment Management

Coordinate technical requirements for physical deployments, including Bill of Materials (BOM) validation, networking infrastructure (e.g., Starlink, high-speed networks), and compliance with environmental standards (NEMA-rated enclosures, IP-rated components, thermal dissipation).

Technical Strategy & Guidance

Participate in architecture discussions, code reviews, and technical trade-off decisions. Collaborate on scaling centralized API management systems, optimizing LLM and model routing workflows, and setting up developer budgets and policies. While you won't write production code daily, you'll stay technically engaged.

Cross-Functional Collaboration

Partner with Product, Design, QA, and technical leadership to translate business requirements into clear technical action plans and ensure all solutions meet rigorous industrial performance standards before production.

Risk & Roadblock Management

Exceptional ability to troubleshoot on the fly, whether it’s a network connectivity issue at a remote site or a model routing bottleneck in the cloud.

Skills & Requirements

2+ years of engineering management experience, plus 3+ years as a hands-on software engineer using python.
Proven track record of shipping complex software projects and hardware-software integrated products (IoT or Edge AI systems strongly preferred).
Strong foundational knowledge of computer vision pipelines, edge computing architecture, and networking hardware.
Hands-on experience managing physical deployments in industrial or outdoor environments, with an understanding of ruggedized hardware constraints.
Ability to design and build applications, not just oversee them -— this is a hands-on role.
Exceptional written and verbal communication skills, including the ability to explain technical blockers clearly to non-technical stakeholders.
Outstanding problem-solving instincts and cross-functional collaboration skills - a genuine zeal to learn new things and thrive under difficult challenges.
Working knowledge of REST APIs and web application development.

Brownie Points

Prior experience with containerized AI deployments on edge devices.
Familiarity with supply chain and logistics operations.
Understanding of modern software architecture, cloud infrastructure (AWS/Azure), CI/CD pipelines. Proficiency in Python is mandatory.

About KoiReader (https://www.koireader.com/)

KoiReader Technologies is a global MNC defining the future of Industrial AI. Founded by industry experts and powered by a strategic partnership with NVIDIA, we turn complex operational challenges into intelligent competitive advantages for our Fortune 500 clients.

Through KoiVision®—our patented Digital Operations Platform and AI Operating Model—we are setting the global standard for how Generative AI and Computer Vision automate supply chain and logistics. Craft your own destiny. Join the leaders of the AI Revolution!

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