Razor Labs

We're looking for an Linux user space application developer (to work as a Freelancer). Razor Labs' industrial intelligence platform that makes machines smarter. Requires to integrate and develop packages for data loader to cloud (Define Razor's cloud vendor / architecture / interface). Collect sensors data from files or other use space interfaces and upload to cloud. Provide system configuration block from cloud (parameters such what to collect, intervals etc). Manage application communication protocols to MCU that manages several sensors. Working as a freelancer. Requirements Experience with python. Optional: C, C++ or similar. Experience working on embedded device with limited resources of CPU and memory. Familiar with IoT SW update packages, remote management etc.

About The Position Razor Labs builds manufacturing lines for its own hardware. We're looking for a hands-on systems engineer to lead prototyping and low-volume assembly (tens to hundreds of units) — taking hardware from first builds to a repeatable process, designed with scale-up and BOM cost in mind. Responsibilities Lead prototype and pilot builds; turn lessons into a repeatable assembly process. Plan assembly flows, fixtures/jigs, and the right (minimal) automation — engineering simplicity first. Own the project plan (Gantt) and budget; design for scale-up with BOM cost awareness and DFM feedback to R&D. Define test and inspection strategy, including environmental testing where needed. Measure and improve yield and rework with data; work daily with R&D, production, and vendors on the floor. Requirements B.Sc. in Electrical Engineering or related field. 7+ years of proven hands-on experience in manufacturing/NPI of electro-mechanical products. Experience taking hardware from prototype to production, even at low volumes. Automation and tooling know-how (fixtures, PLCs, sensors) — and the judgment of when not to automate. Applied statistics and SW tools: Gantt/project planning, advanced Excel, data analysis (Minitab/JMP/Python or similar). Practical experience with AI tools (ChatGPT, Claude) for work automation — building workflows, agents/skills, and using them to accelerate engineering tasks. Budget ownership and vendor procurement experience. Excellent interpersonal skills. Excellent English, written and spoken. Problem-solver with a can-do attitude — takes ownership and gets things built.

We're looking for an Senior Backend Engineer to help shape the future of DataMind AI, Razor Labs' industrial intelligence platform that makes machines smarter. We're looking for an engineer who combines deep technical expertise, strong analytical thinking, architectural vision, and an AI-first engineering mindset. Someone who doesn't just implement specifications but understands the bigger picture, challenges technical assumptions, takes ownership of complex problems, and turns ideas into scalable, production-ready solutions. Own complex features end-to-end — from understanding product requirements and technical specifications to architecture, implementation, testing, and production delivery. Design scalable backend architectures supporting industrial AI, high-volume machine data, analytics, and real-time diagnostics. Think analytically — investigate complex issues, understand data flows, challenge assumptions, and make sound engineering decisions. Leverage AI as a core engineering tool — use AI coding assistants and agents for implementation, architecture exploration, code reviews, testing, debugging, and documentation. Turn specifications into working software — take ownership of delivery rather than waiting for detailed step-by-step instructions. Shape our architecture — contribute to technical design, scalability, maintainability, reliability, and long-term engineering decisions. Raise the engineering bar — mentor developers, improve development practices, and encourage effective adoption of modern AI-powered workflows. Collaborate with product, frontend, data engineering, and other teams to deliver meaningful customer value. Requirements At Least 6 years of backend software engineering experience, with strong Python expertise. Excellent analytical and problem-solving skills — the ability to break down complex systems, identify root causes, and develop elegant solutions. Strong software architecture and system design capabilities, including scalability, data modeling, API design, and distributed systems. Hands-on experience with AI-assisted software development — regularly using AI tools to improve productivity, engineering quality, and delivery speed. Experience with cloud services, preferably GCP. Strong experience with PostgreSQL, BigQuery, or similar transactional and analytical databases. A solid foundation in software engineering best practices, automated testing, CI/CD, and code quality. A strong ownership mindset — proactive, independent, motivated, and focused on getting things done. Excellent communication skills and the ability to collaborate, mentor, and lead technical discussions. B.Sc. in Computer Science or a related field, or equivalent professional experience.