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Upstream Engineering Jobs in Texas (NOW HIRING)

Winaxis

SAP Upstream Finance Consultant

Houston, TX · On-site

Job Summary for SAP Upstream Finance Consultant - Specialize in the upstream finance workstream ... co-engineering opportunities, and work with SAP product/support teams. - Support SAP/client ...

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Upstream Engineering information

What are some common challenges faced by upstream engineers when working on oil and gas exploration projects?

Upstream engineers often encounter challenges such as unpredictable geological formations, fluctuating commodity prices, and logistical complexities in remote locations. They must collaborate closely with geologists, drilling teams, and field personnel to adapt to changing conditions and ensure safe, efficient extraction. Managing project timelines while adhering to environmental and safety regulations is also a significant aspect of the role. Overcoming these challenges requires strong problem-solving skills, adaptability, and effective communication across multidisciplinary teams.

What is the difference between Upstream Engineering vs Reservoir Engineering?

AspectUpstream EngineeringReservoir Engineering
Required CredentialsBachelor's in Petroleum Engineering or related field; often requires professional engineering licenseBachelor's in Petroleum Engineering, Reservoir Engineering, or Geosciences; often requires similar certifications
Work EnvironmentField operations, drilling sites, and production facilitiesReservoir simulation labs, office-based analysis, and field data interpretation
Industry UsageExploration, drilling, and production of oil and gasReservoir performance analysis and recovery optimization

Upstream Engineering focuses on the exploration, drilling, and production of oil and gas, involving field operations and equipment. Reservoir Engineering specializes in analyzing subsurface reservoirs to maximize hydrocarbon recovery through simulation and modeling. While both roles require similar educational backgrounds and certifications, their work environments and primary responsibilities differ significantly.

What is upstream engineering?

Upstream engineering refers to the branch of engineering focused on the exploration and production of oil and natural gas. It involves locating oil and gas reserves, drilling wells, and designing the extraction processes needed to bring these resources to the surface. Upstream engineers work with geologists, drillers, and other professionals to ensure efficient and safe operations. This field is critical to the energy industry and requires expertise in geology, reservoir engineering, and drilling technologies.

What are the key skills and qualifications needed to thrive as an Upstream Engineer, and why are they important?

To thrive as an Upstream Engineer, you need a solid background in petroleum engineering, geoscience, or a related field, often supported by a relevant degree and industry certifications. Familiarity with reservoir modeling software, drilling technologies, and data analysis tools such as Petrel, Eclipse, or Python is typically required. Strong problem-solving skills, teamwork, and effective communication are essential soft skills in this role. These competencies are vital for optimizing resource extraction, ensuring operational safety, and maximizing project efficiency in the oil and gas industry.
What are popular job titles related to Upstream Engineering jobs in Texas? For Upstream Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Upstream Engineering jobs in Texas look for? The top searched job categories for Upstream Engineering jobs in Texas are:
Upstream Engineering jobs near you
Infographic showing various Upstream Engineering job openings in Texas as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution.
Network Engineer, AI Infrastructure Repair

Network Engineer, AI Infrastructure Repair

Meta

Houston, TX

$193K/yr

Full-time

Posted 20 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 245 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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