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Mrb Engineer Jobs in Texas (NOW HIRING)

Elixirr Consulting

Forward Deployed Engineer

Dallas, TX · Hybrid

Job Summary Forward Deployed Engineers (FDEs) are the people we put in the room when a problem is ambiguous, the data is messy, and a working solution needs to exist in weeks, not quarters. As an FDE ...

Elixirr Consulting

Forward Deployed Engineer

Dallas, TX · On-site

Job Summary Forward Deployed Engineers (FDEs) are the people we put in the room when a problem is ambiguous, the data is messy, and a working solution needs to exist in weeks, not quarters. As an FDE ...

Dialpad

Forward Deployed Engineer

Austin, TX · On-site

Your role The Forward Deployed Engineer (FDE) is a customer-embedded delivery engineer responsible for turning qualified AI opportunities into live, production-ready agent deployments. This role sits ...

LangChain, Inc

Deployed Engineer (Dallas)

Dallas, TX · On-site

$200K - $250K/yr

We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source ...

MRB Group

Architect

Temple, TX

MRB Group is a dynamic, multidisciplinary firm specializing in engineering, architecture, and planning services. We are dedicated to creating innovative, sustainable, and impactful solutions for our ...

T1 Energy

Incoming Quality Assurance Engineer

Dallas, TX · On-site

$70 - $90/hr

NCR, MRB & CAPA * Support NCR and MRB processes for incoming material non-conformances. * Provide ... Partner with Engineering and Production to evaluate material performance. * Assist in developing or ...

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All JobsMrb Engineer JobsMrb Engineer Jobs in Texas

Mrb Engineer information

See Texas salary details

$12

$52

$75

How much do mrb engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for mrb engineer in Texas is $52.16, according to ZipRecruiter salary data. Most workers in this role earn between $37.40 and $69.42 per hour, depending on experience, location, and employer.

What is an MRB engineer?

MRB Engineers, or Material Review Board Engineers, are professionals responsible for evaluating and resolving nonconformities in manufacturing, particularly within the aerospace and automotive industries. They assess parts or assemblies that do not meet specifications, determine the root cause, and decide whether to accept, rework, or reject the item. Their role ensures that only safe, high-quality products proceed through production, balancing engineering standards, safety requirements, and efficiency. MRB Engineers often collaborate with design, quality, and production teams to implement corrective actions and prevent future issues.

What are the duties of an MRB engineer?

A material review board (MRB) engineer performs duties related to the complex engineering problems of aerospace design and development. As an MRB engineer, your responsibilities include reviewing and resolving defects and nonconforming conditions in assemblies, documenting and determining if abnormalities are related to engineering issues, and ensuring corrections will not negatively affect the functionality of systems. You also verify that materials are structurally adequate for their purpose in the assembly, monitor installation of those materials, and help implement any changes as needed.

What are the key skills and qualifications needed to thrive as an MRB engineer?

To thrive as an MRB Engineer, you need a solid background in mechanical or aerospace engineering, strong analytical skills, and experience with manufacturing processes, typically supported by a relevant degree. Familiarity with CAD software, PLM systems, and industry standards, along with knowledge of root cause analysis tools, is commonly required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and making critical decisions. These skills ensure that non-conforming products are evaluated, corrected, and documented efficiently, maintaining quality and safety standards in manufacturing environments.

What are some common challenges faced by MRB engineers and how can they be addressed?

MRB Engineers often encounter the challenge of quickly assessing and resolving non-conformances in manufacturing while ensuring compliance with strict safety and quality standards. Balancing tight production schedules with thorough root-cause analysis can be demanding. Effective communication with cross-functional teams, such as design, manufacturing, and quality assurance, is crucial for timely and accurate dispositions. Developing strong problem-solving skills and staying updated on regulatory requirements can help MRB Engineers navigate these challenges successfully.

What is the difference between Mrb Engineer vs Mechanical Engineer?

AspectMrb EngineerMechanical Engineer
Required CredentialsBachelor's in Mechanical Engineering or related field, certifications like ASMEBachelor's in Mechanical Engineering, PE license (optional)
Work EnvironmentManufacturing plants, industrial facilities, maintenance sitesDesign offices, manufacturing plants, R&D labs
Industry UsageHeavy industry, manufacturing, maintenanceProduct design, development, testing

The Mrb Engineer and Mechanical Engineer roles share similar educational backgrounds and certifications. However, Mrb Engineers typically focus more on maintenance, troubleshooting, and operational support in industrial settings, while Mechanical Engineers are more involved in design and development. Both roles are essential in manufacturing industries, but their daily tasks and focus areas differ.

What does a Mrb engineer do?

A Mrb engineer designs, develops, and maintains mechanical, robotic, or manufacturing systems, often working with automation tools and CAD software. They analyze system performance, troubleshoot issues, and ensure safety and efficiency in production environments.
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Mrb Engineer jobs near you
Infographic showing various Mrb Engineer job openings in Texas as of August 2026, with employment types broken down into 73% Full Time, 11% Part Time, 11% Contract, and 5% Nights. Highlights an 100% In-person job distribution, with an average salary of $108,503 per year, or $52.2 per hour.

Palantir Forward Deployed Engineer - GPS

Deloitte

Austin, TX • On-site

Full-time

Re-posted 13 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services

Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Palantir Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
  • 4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Palantir including hands on experience with one of the following key platform technologies; Foundry, AIP, Maven
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a US government security clearance

Preferred:

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
  • Experience operating within hybrid onshore/offshore teams
  • Familiarity with security, privacy, and compliance considerations  

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.


 ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Palantir Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
  • 4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Palantir including hands on experience with one of the following key platform technologies; Foundry, AIP, Maven
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a US government security clearance

Preferred:

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
  • Experience operating within hybrid onshore/offshore teams
  • Familiarity with security, privacy, and compliance considerations  

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.


 ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

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