Halliburton

2 months ago

Controls & Modeling Engineer (Senior - Principal) - Advanced Automation (Houston, TX, US, 77032)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Senior-level Controls & Modeling Engineer focusing on advanced automation, AI-enabled controls, and data-driven methods for autonomy in Sperry Drilling. You’ll develop physics-based and data-driven models, integrate AI agents with controls, and collaborate across engineering, software, and operations to deploy novel automation workflows in downhole and surface systems.

Location: Houston

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Develop and evaluate agentic AI systems that combine reasoning, tools, data, and simulation assets to enable advanced technical analysis, automation, and human-in-the-loop decision making.
•Integrate large language models (LLMs), retrieval-augmented systems, and AI agents with controls, modeling, and optimization frameworks.
•Develop machine learning, data analytics, and hybrid physics-AI approaches to improve system performance, automation, and operational efficiency.
•Develop software tools, workflows, orchestration pipelines, and visualization capabilities to support AI-enabled engineering and operations.
•Conduct research and development in advanced controls, robotics, dynamic modeling, and automation for complex engineering systems.

Key Requirements

•PhD or equivalent experience in a relevant engineering or scientific discipline with emphasis on controls, dynamic systems, automation, machine learning, or intelligent systems; or equivalent R&D experience.
•Experience with agentic AI, LLM-based workflows, orchestration frameworks, or tool-using AI agents applied to scientific, industrial, or engineering use cases.
•Deep knowledge of control theory, including modern control, optimal control, Model Predictive Control (MPC), and system dynamics.
•Knowledge of robotics, mechatronics, high-DoF systems, path planning, and dynamic modeling.
•Strong technical communication and collaboration skills.

Experience:EnergyOil & gasDrillingAutomation

Education:PhD / Doctorate

Skills:Strong technical communicationCollaborationProblem-solving

Languages:English

Tech Stack:MATLABSimulinkPythonAIMachine learningLLMsControl theoryMPCDynamic modeling

Company Brief

Halliburton

Provides oilfield services and products to the energy industry, including drilling, evaluation, completion, production and well intervention technologies, as well as engineering and project management solutions for oil and gas operators worldwide.

Industry: Energy Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Houston, United States

Founded: 1919

Website LinkedIn

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Halliburton

2 months ago

Controls & Modeling Engineer (Senior - Principal) - Advanced Automation (Houston, TX, US, 77032)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Houston

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Develop and evaluate agentic AI systems that combine reasoning, tools, data, and simulation assets to enable advanced technical analysis, automation, and human-in-the-loop decision making.
•Integrate large language models (LLMs), retrieval-augmented systems, and AI agents with controls, modeling, and optimization frameworks.
•Develop machine learning, data analytics, and hybrid physics-AI approaches to improve system performance, automation, and operational efficiency.
•Develop software tools, workflows, orchestration pipelines, and visualization capabilities to support AI-enabled engineering and operations.
•Conduct research and development in advanced controls, robotics, dynamic modeling, and automation for complex engineering systems.

Key Requirements

•PhD or equivalent experience in a relevant engineering or scientific discipline with emphasis on controls, dynamic systems, automation, machine learning, or intelligent systems; or equivalent R&D experience.
•Experience with agentic AI, LLM-based workflows, orchestration frameworks, or tool-using AI agents applied to scientific, industrial, or engineering use cases.
•Deep knowledge of control theory, including modern control, optimal control, Model Predictive Control (MPC), and system dynamics.
•Knowledge of robotics, mechatronics, high-DoF systems, path planning, and dynamic modeling.
•Strong technical communication and collaboration skills.

Experience:EnergyOil & gasDrillingAutomation

Education:PhD / Doctorate

Skills:Strong technical communicationCollaborationProblem-solving

Languages:English

Tech Stack:MATLABSimulinkPythonAIMachine learningLLMsControl theoryMPCDynamic modeling

Company Brief

Halliburton

Industry: Energy Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Houston, United States

Founded: 1919

Website LinkedIn