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Systems Research Engineer Jobs in Texas (NOW HIRING)

Aramco

Robotics Research Engineer

Houston, TX · On-site

Aramco Americas Company Robotics Research Engineer - Software (1830) R&D Digital Transformation ... Our interests include developing sensors and robotic systems for automating our Upstream operations.

Loram

R&D Engineer

Georgetown, TX · On-site

Engineer I, R&D Technology FLSA Status: Exempt Department: Engineering Reports to: Director, R&D ... Assess system performance, prepare written and oral reports, optimize accordingly and make ...

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Systems Research Engineer information

What are some common challenges faced by systems research engineers when translating research prototypes into scalable solutions?

Systems Research Engineers often encounter challenges when moving from innovative prototypes to production-ready systems. These include ensuring the scalability and reliability of solutions, integrating experimental features with existing infrastructure, and optimizing for real-world constraints like latency and resource usage. Close collaboration with software engineers and product teams is essential to address these issues, and iterative testing is typically required to bridge the gap between theory and practical deployment.

What is a systems research engineer?

A Systems Research Engineer is a professional who designs, analyzes, and optimizes complex computing systems, often working at the intersection of hardware and software. They conduct research to improve system performance, scalability, reliability, and energy efficiency, typically in areas such as distributed systems, operating systems, networking, or cloud infrastructure. Their work involves prototyping, experimentation, and publishing findings to advance the state of the art in systems engineering. These engineers often collaborate with academic researchers, industry partners, and product development teams.

What are the key skills and qualifications needed to thrive as a systems research engineer, and why are they important?

To thrive as a Systems Research Engineer, you need a strong background in computer science, systems architecture, and problem-solving, typically supported by a relevant degree and research experience. Familiarity with programming languages (such as C/C++ or Python), simulation tools, and systems analysis platforms, as well as experience with operating systems and distributed computing, is essential. Critical thinking, strong communication, and the ability to work collaboratively help distinguish top performers in this role. These skills and qualities are crucial for innovating system designs, advancing technology, and ensuring robust, efficient solutions to complex engineering problems.
What are popular job titles related to Systems Research Engineer jobs in Texas? For Systems Research Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Systems Research Engineer jobs in Texas look for? The top searched job categories for Systems Research Engineer jobs in Texas are:
Systems Research Engineer jobs near you
Infographic showing various Systems Research Engineer job openings in Texas as of July 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Computational Combustion Engineer

Southwest Research Institute - Fulltime

San Antonio, TX • On-site

$94K - $129K/yr

Other

Re-posted 5 days ago

Southwest Research Institute rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

8th of 73 rated research

Job description

Who We Are: The Propulsion & Energy Machinery Section performs engineering R&D in the fields of gas turbine combustion, air-breathing propulsion, industrial heat and power, and liquid propulsion. Our technologies are powering a cleaner future and advancing state-of-the-art propulsion systems for air and space flight. Objectives of this Role: Support the development, analysis, and testing of power generation and propulsion systems, with a specific focus on combustion applications. Engage in the development of advanced computational models to explore complex combustion phenomena, contributing to cutting-edge research in thermofluids, power generation, and propulsion systems. Utilize expertise in heat transfer, fluid dynamics, gas dynamics, and combustion processes to optimize designs and improve performance in power generation and propulsion systems. Leverage state-of-the-art Computational Fluid Dynamics (CFD) software, including Ansys Fluent, Converge, and OpenFOAM to simulate flow conditions and analyze combustion processes in power generation and propulsion systems. Integrate experimental insights with simulation data to validate models and develop predictive capabilities for combustion processes in power generation and propulsion systems operating under extreme conditions. Daily and Monthly Responsibilities: Provide cross-disciplinary support to multiple projects within the field of combustion, focusing mainly on computational tasks. Conduct design, optimization, and validation of combustion processes using CFD. Contribute to the design of combustion processes for power generation and propulsion systems. Assist in executing experimental test campaigns, including data acquisition, processing, and analysis, to support model validation. Be a problem solver that exercises creativity and independent judgement in developing approaches to address a wide range of technical challenges. Requirements: Requires a Bachelors, Masters or a PhD in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, or related engineering degree. 5 years relevant professional experience required with Bachelors degree, 3 years relevant professional experience required with Masters degree, and 1 year of related experience required with PhD. 1-5 years: Demonstrated experience in CFD simulations of thermofluids and combustion processes. Experience with supersonic and/or hypersonic flow simulations is preferred but not required. 1-5 years: Experience in computationally-aided design of propulsion and power generation systems. Experience in designing system components is also valued. 1-5 years: Demonstrated proficiency in using CFD software such as Ansys Fluent, Converge, STAR-CCM+, or OpenFOAM for simulating and analyzing combustion processes. Experience with additional simulation tools is preferred but not required. Experimental experience with combustion processes and mechanical design is highly desirable but not mandatory. MS or PhD degrees in engineering are preferred, but not required. Relevant degrees will also be considered. A valid/clear driver's license is required.

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