Software Developer, Software Engineer, Machine Learning​/ ML Engineer

Location

South Carolina

Full time

On‑site

Engineering

Software Developer

South Carolina

Red Metals is rethinking the domestic copper supply chain at a pivotal moment in American industry.

Copper underpins electrification, data centers, and defense systems. U.S. demand already exceeds domestic supply, and the gap is widening as grid modernization, the energy transition, and buildout of AI infrastructure accelerate.

We are building a new model for this critical industrial layer in the United States.

We are hiring a Software Developer to build the software layer that powers our copper processing and refining systems.

You will write code that directly interacts with physical equipment, sensors, and control systems, and that determines how material moves through the plant. Your work will intersect real‑time systems, data, and machine intelligence.

• Build software that interfaces with sensors, PLCs, and control systems to adjust real‑time plant operation
• Develop and deploy edge AI/ML systems that operate on high‑frequency sensor data to drive real‑time decision‑making and system optimization
• Design and implement data pipelines for high‑frequency process and equipment data
• Build internal tools for monitoring, control, debugging, and operator decision‑making
• Work closely with controls, mechanical, and process engineers to integrate software into physical systems
• Implement feedback loops that connect downstream quality and assay data to upstream process decisions
• Develop and deploy algorithms that improve yield, quality, and throughput over time
• Own production systems end to end, including reliability, performance, and observability
• Rapidly prototype, test, and iterate in a live industrial environment with noisy, imperfect conditions
• Contribute to system architecture across edge, on‑site, and cloud infrastructure
• Build backend systems and, where needed, customer‑facing tools that extend plant data into commercial workflows and external applications

• Bias for Action

  We move fast. Speed beats polish. We use every tool, especially AI, to accelerate decisions, execution, and learning.

• Grit

  We do hard things because they matter. We keep pushing when others quit.

• Ownership

  We own outcomes, not tasks. We see problems, fix them, and follow through across functions.

• Signal

  We cut through noise. We communicate clearly and directly so decisions are fast and execution stays sharp.

• Craft

  We take pride in our work. Quality, care, and precision are the standard.

• Strong software engineering fundamentals and ability to build production systems end‑to‑end
• Experience writing code that interacts with real‑world systems, not just web applications
• Proficiency in Python or similar languages used for data, control, and systems development
• Experience working with data pipelines, streaming data, or real‑time systems
• Active use of AI‑assisted development tools (e.g., Claude Code, Copilot, similar) to write, debug, and iterate on production code
• Ability to leverage AI tools to accelerate development speed and solve complex technical problems
• Comfortable operating in environments with incomplete data and ambiguous requirements
• Ability to move quickly, debug issues in the field, and iterate on live systems
• Strong ownership mindset. You care about system performance, not just code quality

• Experience building or working with complex, real‑world systems that integrate hardware, data, and software
• Experience interfacing with PLCs, OPC‑UA, Modbus, or similar industrial protocols
• Experience applying machine learning to physical systems
• Experience with edge computing or deploying models outside of pure cloud environments
• Experience building internal tools for operators or industrial workflows
• Background in robotics, manufacturing, or other hardware‑adjacent environments
• Startup or early‑stage experience

• Build a company from zero, not optimize an existing system
• Direct ownership of critical process and operational decisions
• Work on a problem that matters: rebuilding U.S. industrial capacity
• Small team, high trust, no bureaucracy

This role is based in South Carolina and requires on‑site work.