About Maneva

Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.

About the Role

Build real systems. Learn fast. Make it count.

We’re looking for a Junior Software Engineer with strong computer science fundamentals and an eagerness to build high-quality systems that bridge software and the physical world. You’ll work on production-grade code, infrastructure, and real-time applications—helping deploy and scale software that powers hardware-connected systems, IoT devices, and edge deployments in industrial environments.

This role is ideal for someone early in their career who is more than just a tool user—they’re a learner, a system thinker, and a builder who cares deeply about reliability and quality.

What You’ll Do

• Build and maintain backend services, infrastructure tooling, and lightweight frontend components (e.g., dashboards, telemetry UIs)
• Contribute to production codebases that interact with real-time systems, video pipelines, and IoT edge devices
• Work with networking and fleet infrastructure to support telemetry, OTA updates, and field-level observability
• Collaborate on cloud deployment (e.g., Terraform, AWS) and support devops tooling (e.g., GitHub Actions, container orchestration)
• Help troubleshoot real-world systems, debug field issues, and participate in reliability reviews
• Assist in managing system-level resources (CPU, memory, bandwidth) for real-time applications
• Improve system performance and observability (e.g., Prometheus, Grafana) across Linux-based edge nodes
• Participate in cross-functional testing and deployment, especially for video processing or vision systems
• Write maintainable documentation and contribute to continuous improvements in our development and release processes

Requirements

**What We’re Looking For**

Core Attributes

• Systems Thinker: You understand or want to learn how software, hardware, infrastructure, and data flow come together in production.
• Architect-Minded: You're thoughtful about how systems are designed, not just how features are coded.
• Curious & Coachable: You bring energy, a growth mindset, and can rapidly pick up unfamiliar tools, languages, or domains.

Education & Experience

• Degree in Computer Science, Software Engineering, or a related technical field
• Internship or hands-on project experience writing production-quality software
• Ideally worked at a high-quality tech company or startup that enforces solid engineering practices

Technical Foundations

• Proficient in one of, but open to learning all: Python, JavaScript/TypeScript, or C/C++,
• Comfortable working in Linux environments (bonus if you have kernel-level or resource management exposure)
• Exposure to infrastructure as code (e.g., Terraform), CI/CD pipelines, and containerized development
• Bonus experience with:

• IoT or edge devices (Jetson, Raspberry Pi, etc.)
• Video transport/processing pipelines (RTSP, GStreamer, etc.)
• Networking, system-level debugging, or fleet telemetry
• MLOps workflows, but focus is more on deployment and reliability than model training

Benefits

**Why Join Us?**

• Be part of a fast-growing team creating transformative solutions for manufacturing.
• Work on cutting-edge AI and MLOps tools with real-world impact.
• Enjoy a collaborative and supportive work environment.
• Opportunities for professional growth and career advancement.