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Remote Fluid Engineering Jobs in Austin, TX (NOW HIRING)

NextSilicon

Staff HPC Applications Engineer

Austin, TX · On-site +1

... Remote considered for exceptional candidates. As part of a software-defined hardware company, you ... S. degree in a hard science, engineering, computer science, or a related field; M.S. or Ph.D ...

NextSilicon

HPC Field Applications Engineer

Austin, TX · On-site +1

Bachelor of Science in an engineering discipline (computer science, mathematics, natural sciences ... fluid dynamics, molecular dynamics, high-energy or astro physics, quantum chemistry, weather ...

L3HHCM20

Principal, Business Development

Austin, TX · On-site +1

Remote Job Schedule: 9/80 As a Business Development Principal, you will have the exciting ... to ensure fluid customer engagement and that our value to the warfighter across domains and ...

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All JobsFluid Engineering JobsRemote Fluid Engineering JobsRemote Fluid Engineering Jobs in Austin, TX

Remote Fluid Engineering information

See Austin, TX salary details

$46.1K

$145.6K

$172.5K

How much do remote fluid engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote fluid engineering in Austin, TX is $145,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What is remote fluid engineering?

Remote fluid engineering involves the analysis, design, and optimization of systems involving fluids (liquids and gases) by professionals who work remotely, often utilizing advanced simulation software and digital collaboration tools. These engineers may work on projects such as pipelines, HVAC systems, or fluid dynamics in industrial processes, providing solutions without being physically present on-site. This role requires a strong background in fluid mechanics, computational modeling, and effective communication to collaborate with teams across different locations.

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

To thrive as a Remote Fluid Engineer, you need a solid background in fluid dynamics, mechanical or chemical engineering, and a relevant engineering degree. Proficiency in simulation software like ANSYS Fluent or COMSOL Multiphysics, as well as familiarity with remote collaboration tools, is typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for remote work environments. These skills ensure accurate analysis, successful project delivery, and efficient teamwork despite geographical distances.

What is the difference between Remote Fluid Engineering vs Remote Mechanical Engineering?

AspectRemote Fluid EngineeringRemote Mechanical Engineering
Required CredentialsBachelor's in Mechanical, Civil, or Chemical Engineering; relevant certificationsBachelor's in Mechanical Engineering; certifications vary by specialization
Work EnvironmentDesign, analysis, and simulation of fluid systems remotelyDesign, analysis, and testing of mechanical systems remotely
Industry UsageOil & gas, aerospace, HVAC, energy sectorsManufacturing, automotive, aerospace, consumer products
Search & Comparison IntentOften compared for roles involving fluid dynamics and system designCompared for broader mechanical system roles

Remote Fluid Engineering focuses on fluid systems, requiring expertise in fluid dynamics and related certifications, often within energy or aerospace sectors. Remote Mechanical Engineering covers a wider range of mechanical systems, with similar credentials but broader application areas. Both roles are performed remotely, but their industry focus and technical scope differ.

What are some common challenges faced by remote fluid engineers, and how can they be addressed?

Remote fluid engineers often encounter challenges such as limited access to on-site equipment, difficulties in real-time collaboration with colleagues, and ensuring accurate data transfer between teams. To address these, many teams utilize advanced simulation software, maintain clear communication channels through regular virtual meetings, and establish standardized data-sharing protocols. Additionally, remote engineers can benefit from strong documentation practices and leveraging cloud-based engineering platforms to stay aligned with project goals and updates.
What are the most commonly searched types of Fluid Engineering jobs in Austin, TX? The most popular types of Fluid Engineering jobs in Austin, TX are:
What are popular job titles related to Remote Fluid Engineering jobs in Austin, TX? For Remote Fluid Engineering jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Fluid Engineering jobs in Austin, TX look for? The top searched job categories for Remote Fluid Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Fluid Engineering jobs? Cities near Austin, TX with the most Remote Fluid Engineering job openings:
Remote Fluid Engineering jobs near you

Staff HPC Applications Engineer

NextSilicon

Austin, TX • On-site, Remote

Full-time

Posted 7 days ago

Job description

Description
NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.
At NextSilicon, everything we do is guided by three core values:
  • Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
  • Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
  • Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

We are looking for an experienced Staff Applications Engineer to join the Applications team, with demonstrated ability in moving HPC applications onto new platforms and in evaluating performance on node and at scale.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices (or willing to relocate) preferred but Remote considered for exceptional candidates.
As part of a software-defined hardware company, you will play a pivotal role in driving new software features based on your analysis of customer-defined applications and measuring the resulting performance improvements. This role stands on the edge of computer science/architecture and scientific applications which span a wide range of fields, including but not limited to graph algorithms, sparse computations, weather prediction, seismic imaging, genomics, molecular dynamics, quantum chemistry, and computational fluid dynamics. If you have a passion for science, a knack for solving complex problems, and thrive in a bleeding-edge multidisciplinary environment, we want to hear from you!
Requirements
  • US citizenship and eligibility to visit US government research facilities
  • B.S. degree in a hard science, engineering, computer science, or a related field; M.S. or Ph.D. strongly preferred

  • Hands-on experience with development applications in one or more HPC domains, particularly scientific applications that run at rack or system scale
  • High level of proficiency in one of C/C++/Fortran and familiarity with the others
  • Extensive experience with node level and distributed parallel programming models and a working understanding of OpenMP, MPI in particular
  • Ability to measure application-level performance and profile HPC applications at the node level and at scale
  • Willingness to travel as necessary
  • Ability to work remotely and independently in a fast-paced environment with minimal direct supervision

Desired Skills:
  • Expertise in competitive performance analysis is strongly preferred
  • CUDA or similar GPU kernel languages
  • Hands-on experience with one or more AI/ML frameworks, such as pytorch

Responsibilities
  • Profile and identify bottlenecks of a wide range of HPC applications on different architectures
  • Develop creative algorithmic and software solutions to solve bottlenecks and accelerate applications on a novel dataflow architecture
  • Translate application requirements into software features and hardware requirements
  • Develop performance models for future hardware architectures

Apply