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Director - Software & Firmware Development Manager

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Bell Supply Company, LLC
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Description

Job Summary

We are seeking an experienced Software & Firmware Development Manager to lead the design, development, and deployment of advanced software, firmware, and intelligent automation solutions for oilfield production operations. This role focuses on SCADA systems, industrial automation, edge computing, and AI/ML applications to optimize production efficiency, enhance reliability, reduce downtime, and ensure safe, compliant operations in upstream oil & gas environments.

The successful candidate will lead cross-functional teams of software engineers, firmware developers, data scientists, and automation specialists. They will drive innovation in real‑time monitoring, predictive analytics, and intelligent control systems for well management, artificial lift, and production optimization.

Key Responsibilities
  • Leadership & Team Management:
    Lead, mentor, and grow a team of software, firmware, and AI/ML engineers. Set technical direction, conduct performance reviews, and foster a culture of innovation, quality, and collaboration.
  • SCADA & Automation Development:
    Oversee the architecture, design, implementation, and maintenance of SCADA systems. Develop and optimize HMI screens, control logic, communication protocols (Modbus, DNP3, OPC UA, MQTT), and data acquisition pipelines for field assets.
  • Firmware Development:
    Manage embedded firmware development for controllers, edge devices, sensors, and IoT hardware in harsh oilfield environments. Ensure real‑time performance, reliability, security, and compliance with industry standards.
  • AI/ML Integration:
    Drive the development and deployment of AI/ML models for predictive maintenance, production optimization, anomaly detection, reservoir insights, and automated control. Integrate models into SCADA/automation platforms for edge and cloud inference.
  • Project & Product Lifecycle:
    Lead end‑to‑end development projects, including requirements gathering, architecture design, agile execution, testing, commissioning, and ongoing support. Manage vendor relationships and third‑party integrations.
  • System Optimization & Reliability:
    Ensure high availability, cybersecurity, and scalability of OT/IT systems. Implement data analytics, reporting, and visualization tools to support operational decision‑making.
  • Compliance & Safety:
    Ensure all solutions meet regulatory requirements (e.g., API, ISA, IEC standards), cybersecurity best practices (IEC 62443), and company HSE policies. Support field commissioning and troubleshooting as needed.
  • Innovation & Strategy:
    Collaborate with operations, engineering, customers, and sales teams to identify opportunities for digital transformation. Evaluate emerging technologies in automation, IIoT, and generative AI for oilfield applications.
  • Budget & Resources:
    Manage department budget, resource allocation, timelines, and vendor contracts.
Requirements Qualifications & Experience

Education:

Bachelor’s degree (Master’s preferred) in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, or a related field.

Experience:

8+ years of progressive experience in software/firmware development for industrial automation or oil & gas.

3-5+ years in a leadership or management role.

Strong background in SCADA, Automation programming, Edge/RTUs, and industrial protocols.

Proven experience with firmware development for embedded systems (C/C++, Linux, RTOS).

Hands‑on experience with AI/ML frameworks and their application in industrial settings (predictive diagnostics, optimization).

Technical

Skills:

Proficiency in SCADA platforms, HMI design, and technology stacks.

Expertise in Python, C#, .NET, JavaScript, or similar for backend/services.

Knowledge of cloud platforms (AWS IoT, Azure), edge computing, and data pipelines.

Familiarity with cybersecurity for OT environments and standards like IEC 62443.

Experience with oilfield‑specific applications (artificial lift, production, and equipment monitoring & optimization).

Preferred Qualifications:

Experience in upstream oil & gas production operations.

Certifications such as PMP, CISSP, or relevant SCADA/automation credentials.

Knowledge of functional safety (IEC 61511) and hazardous area…

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