Company Description

Zighra builds and deploys AI systems for anomaly detection and sensing applications. Our work combines deep technical expertise, patented innovation, and explainable AI to deliver systems that perform in real-world environments.

Role Description

We are hiring an engineer who can work across machine learning, software, and sensor-integrated systems.

This is not a pure research role and not a generic full-stack role. You will build production systems that process real data, integrate with sensors and edge devices, and perform under real operating conditions.

What You’ll Do

• Build and deploy machine learning models for anomaly detection, classification, and behavioral analytics.
• Write production-grade software in Python, and ideally some C++ or another systems language.
• Design and maintain data pipelines for streaming, telemetry, and sensor data.
• Integrate models with sensors, edge devices, and backend systems.
• Improve robustness, performance, and reliability when working with noisy data.
• Support system integration, testing, debugging, and field deployment.
• Contribute to system architecture across edge, server, and cloud environments.
• Help turn prototypes into deployable products

What You Bring

• Strong coding skills in Python.
• Experience building and deploying machine learning systems.
• Solid software engineering fundamentals, including debugging, APIs, and system design.
• Comfort working in Linux environments.
• Ability to work across the stack from data to deployment.
• Strong engineering judgment and a builder mindset

Nice to Have

• C/C++ experience.
• Experience with embedded, edge, or hardware-integrated systems.
• Familiarity with sensor data, signal processing, GNSS, RF, or telemetry.
• Experience with anomaly detection, cybersecurity, or real-time systems.
• Familiarity with Docker, cloud infrastructure, or distributed systems.
• Exposure to defense, robotics, aerospace, or IoT environments.

What We’re Looking For

• Someone who can build real systems, not just prototypes.

Someone comfortable with ambiguity and hands-on problem solving.

• Someone who can debug across software, data, and system boundaries.
• Someone who wants to work on systems that must perform outside controlled environments.

Why Zighra

Zighra is building AI systems that have to work in practice, not just in controlled environments. Our work is grounded in deep technical expertise, patented innovation, and a focus on explainable AI—because users need systems they can trust and act on.

We work on problems where data is noisy, conditions are imperfect, and performance matters. You will be contributing to systems that move from prototype to real-world deployment.

How We Work

We are a hands-on team. We value:

Strong

• engineering fundamentals.
• Ownership and accountability.
• The ability to work across ML, software, and systems.

Apply

Please apply through LinkedIn or send your resume and a short note to career@zighra.com