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Pipeline Stress Engineer Jobs (NOW HIRING)

ONEOK

Engineer II

Mont Belvieu, TX · On-site

Pipeline stress/strain analyses * Experience in engineering design and knowledge of criteria for natural gas and/or NGLs in pipeline systems * Experience at this level is typically attained with four ...

ONEOK, Inc

Engineer II

Mont Belvieu, TX

Pipeline stress/strain analyses * Experience in engineering design and knowledge of criteria for natural gas and/or NGLs in pipeline systems * Experience at this level is typically attained with four ...

ONEOK, Inc.

Engineer II

Mont Belvieu, TX · On-site

$100 - $125/hr

... Pipeline stress/strain analyses* Experience in engineering design and knowledge of criteria for natural gas and/or NGLs in pipeline systems* Experience at this level is typically attained with four ...

ONEOK, Inc

Engineer II

Tulsa, OK · On-site

Pipeline stress/strain analyses * Experience in engineering design and knowledge of criteria for natural gas and/or NGLs in pipeline systems * Experience at this level is typically attained with four ...

Verdantas

Pipeline Design Engineer

$130K - $160K/yr

Verdantas is seeking a Pipeline Design Engineer to support the planning, design, and execution of ... Executeengineering calculationsincluding MAOP, wall thickness, stress analysis, and class location ...

ONEOK, Inc.

Electrical Subject Matter Expert

Tulsa, OK · On-site

$100 - $125/hr

Provide technical and/or engineering assistance on matters including but not limited to ... Pipeline stress/strain analysis * Industry best practices and design philosophy* Knowledge of ...

Keystone Engineering Inc.

Sr. Engineer - CE

Billings, MT · On-site

$102K - $141K/yr

Keystone Engineering Inc. opened for business in 1988 and for decades, has been a reliable provider ... Calculate pipeline stresses and circumferential internal pressure due to earth load, live load ...

WSP

Lead Pipeline Engineer

Houston, TX · On-site

$100 - $125/hr

Provide engineering support to pipeline routing studies, stress analysis, and mechanical detailed engineering design of liquid, gas and/or slurry pipeline systems, including DOT regulated pipelines ...

WSP

Lead Pipeline Engineer

Tampa, FL · On-site

$96K - $127K/yr

Provide engineering support to pipeline routing studies, stress analysis, and mechanical detailed engineering design of liquid, gas and/or slurry pipeline systems, including DOT regulated pipelines ...

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Pipeline Stress Engineer information

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$65

$89

How much do pipeline stress engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for pipeline stress engineer in the United States is $65.95, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $77.40 per hour, depending on experience, location, and employer.

What are popular job titles related to Pipeline Stress Engineer jobs?

For Pipeline Stress Engineer jobs, the most frequently searched job titles are:

Algorithm Engineer, Reinforcement Learning

Houston, TX • On-site

Bot Auto
See more jobs at Bot Autoexternal

$56 - $77/hr

Full-time

Medical, PTO

Re-posted 16 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality.

Role Overview

We are seeking a ML/RL Engineer to join our Algo team and drive the development of our unified behavioral architecture. In this role, you will help bridge the gap between simulation and the real world by developing a scalable policy framework that represents both our L4 ego-policy and a diverse population of simulated agents. You will work at the intersection of Multi-Agent Reinforcement Learning (MARL) and safety-critical system design to ensure our autonomous semi-trucks navigate highways with superhuman safety and precision.

Key Responsibilities
  • Behavioral Modeling: Develop and train diverse, conditioned policies that simulate realistic driving behaviors to stress-test and validate our autonomous driving stack.
  • Safety-Constrained Learning: Lead the research and implementation of advanced RL algorithms to ensure safety metrics are treated as primary constraints in the learning process.
  • Reward & Objective Design: Collaborate with cross-functional teams to design robust reward functions and evaluation metrics that balance safety, progress, and comfort.
  • Scalable Training Pipelines: Contribute to the optimization of our large-scale, high-throughput training environments to enable rapid iteration on complex multi-agent scenarios.
  • Model Architecture: Advance our state-of-the-art neural architectures to improve spatial reasoning, long-horizon planning, and interaction modeling.
  • Cross-Team Collaboration: Work closely with Simulation and Planning teams to integrate research-grade models into production-quality, safety-critical software.
Required Qualifications
  • Professional RL Experience: Proven track record of training and deploying deep RL algorithms (e.g., PPO, SAC) for complex, real-world robotic or autonomous systems.
  • Technical Mastery: Expertise in Python and PyTorch; strong understanding of modern deep learning architectures and optimization techniques.
  • Academic Background: MS or PhD in Computer Science, Robotics, or a related quantitative field.
  • Scientific Intuition: Ability to diagnose and solve fundamental challenges in RL training, such as variance management and distribution shift.
Preferred Qualifications
  • Safe RL Specialization: Experience with constrained optimization or safety-critical learning frameworks.
  • Multi-Agent Systems: Background in MARL training stability, including self-play and decentralized execution strategies.
  • Autonomous Driving Domain: Familiarity with vehicle dynamics and behavior planning, particularly for long-haul highway environments.
Additional Information
  • Compensation: Competitive salary based on experience, with opportunities for performance bonuses and equity.
  • Benefits: Comprehensive health insurance, paid time off, and the opportunity to work at the forefront of the autonomous trucking industry.

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