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Remote Linux Engineer Jobs in Taylor, TX (NOW HIRING)

Curative HR LLC

Principal Security Engineer

Austin, TX · On-site +1

$175K - $200K/yr

This is a remote position Key Responsibilities Detection, Response & Visibility * Own strategy and ... Own AWS security posture and enforce baselines across Linux/Windows, network devices, and ...

Texas Mutual Insurance Company

Senior Cloud Engineer

Austin, TX · On-site +1

$55.25 - $73.75/hr

... remote access, and security access applications. Coordinate with department leadership to plan ... Prior Linux system administration experience strongly desired.. * Proven expertise in AWS services ...

Honeywell

Advanced Field Service Engineer

Austin, TX · On-site +1

$88K - $110K/yr

As a Advanced Field Service Engineer, you will drive the development of remote and on-site ... Working knowledge of Linux, Windows Server, and Microsoft SQL Server environments. * Advanced ...

Honeywell

Advanced Field Service Engineer

Austin, TX · On-site +1

$88K - $110K/yr

As a Advanced Field Service Engineer, you will drive the development of remote and on-site ... Working knowledge of Linux, Windows Server, and Microsoft SQL Server environments. * Advanced ...

NextSilicon

HPC Field Applications Engineer

Austin, TX · On-site +1

Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ... UNIX (Linux) and shell programming experience is required * Python programming is a plus * Good ...

Mythic

EDA / CAD Engineer

Austin, TX · Remote

$150K - $260K/yr

Linux/Unix environment troubleshooting, LSF/Slurm/Grid Engine compute-farm integration, environment ... Remote computing support experience (ETX) * Experience supporting engineering across multiple ...

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How much do remote linux engineer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote linux engineer in Taylor, TX is $60.32, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $67.74 per hour, depending on experience, location, and employer.

What is a remote Linux engineer?

A Remote Linux Engineer is an IT professional responsible for designing, implementing, and maintaining Linux-based systems and servers while working remotely. They handle system administration tasks, troubleshoot issues, optimize performance, and ensure security and stability. This role often involves working with cloud platforms, automation tools, and scripting languages to manage infrastructure efficiently. Remote Linux Engineers collaborate with teams using communication tools and may support DevOps, networking, or cybersecurity functions based on business needs.

What are the key skills and qualifications needed to thrive as a remote Linux engineer?

To thrive as a Remote Linux Engineer, you need a solid understanding of Linux systems administration, networking, scripting languages (such as Bash or Python), and troubleshooting, often backed by a degree in computer science or related certifications like RHCE or CompTIA Linux+. Familiarity with tools like Docker, Ansible, Kubernetes, and virtualization platforms is typically required. Excellent problem-solving abilities, self-motivation, and strong written communication are essential soft skills for remote collaboration and effective support. These skills and qualities are vital to ensuring reliable system performance, efficient remote operations, and seamless teamwork across distributed environments.

What are common challenges faced by remote Linux engineers and how are they typically addressed?

Remote Linux Engineers often encounter challenges such as troubleshooting complex system issues without on-site access, maintaining secure remote connections, and staying aligned with distributed team members. These challenges are typically addressed through advanced remote monitoring tools, comprehensive documentation, and regular virtual meetings for knowledge sharing and collaboration. Effective time management and continuous learning are also crucial for staying updated on emerging technologies and best practices. Organizations often provide clear escalation paths and encourage peer support to help engineers resolve critical incidents quickly. Being proactive and adaptable helps ensure both productivity and strong system reliability in a remote environment.

What cities near Taylor, TX are hiring for Remote Linux Engineer jobs?

Cities near Taylor, TX with the most Remote Linux Engineer job openings:

Remote Linux Engineer jobs near you
Infographic showing various Remote Linux Engineer job openings in Taylor, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $125,463 per year, or $60.3 per hour.

HPC Customer Solutions Engineer

Austin, TX • On-site, Remote

NextSilicon
See more jobs at NextSiliconexternal

Full-time

Re-posted 13 days ago

Key responsibilities

  • Provide hands-on support to customers in resolving technical issues for scientific HPC applications

  • Identify, troubleshoot, and reproduce client-facing bugs and runtime errors to ensure timely resolution

  • Drive new software features through direct customer engagement and support the development of user documentation

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.

Join our customer success team as an HPC Customer Solutions Engineer. We are seeking a highly skilled, customer-centric individual to act as the primary link between our cutting-edge HPC technology and its end-users.
Operating at the forefront of computer science and scientific applications, you will be instrumental in enabling our customers to achieve peak performance in diverse fields such as graph algorithms, sparse computations, weather prediction, and more. As our platform evolves to incorporate next-generation capabilities (including AI/ML), you will be a key resource in supporting these emerging technologies. You will not only directly support users but actively drive the usability and feature development of our platform by collaborating closely with our product and software engineering teams. If you are passionate about science and technology, thrive in a customer-facing role, and want to shape the future of high-performance computing, we want to hear from you.
We currently have 2 open requisitions for this Customer Solutions Engineer role.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote considered for exceptional candidates.
Requirements
  • Master's or higher degree in computer science, engineering, physics, or a related field; candidates may be considered if they have relevant experience in lieu of an advanced degree
  • Proficiency in C, C++, and/or Fortran programming languages
  • Working understanding of standards-based parallel programming models and languages such as MPI, OpenMP, CUDA, or OpenACC
  • Familiarity with HPC software stack components including LLVM compilers and toolchains, libraries, schedulers, and job submission systems (e.g., SLURM or PBS)
  • Experience with Linux/Unix operating systems and command-line tools for system navigation, administration, and troubleshooting
  • Knowledge of performance optimization techniques for parallel computing, including code profiling, tuning, and scaling
  • Exceptional written communication skills with a proven ability to produce clear, concise, and technically accurate documentation
  • Strong verbal communication for effective customer engagement and internal advocacy
  • Results-driven and relentless, with a bias toward creative solutions and a no-excuses approach to delivering outcomes
  • US citizenship with eligibility to visit US government research facilities strongly preferred

Desirable technical skills
  • Familiarity with Python and its relevant data science libraries (e.g., NumPy, Pandas)
  • Familiarity with key AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX, vLLM and llama.cpp) and/or working knowledge of optimizing, profiling and debugging AI/ML workloads on parallel architectures (e.g., GPU acceleration, distributed training)
  • Packaging, compiling, troubleshooting, running open-weight models
  • Working with or in a neocloud/hyperscaler provider

Responsibilities
  • Provide hands-on support, assisting customers in resolving technical issues for scientific HPC applications
  • Identify, troubleshoot, and reproduce resolving client-facing bugs and runtime errors, ensuring timely resolution and customer satisfaction
  • Drive new software features through direct customer engagement, and resolve client-facing issues.
  • Maintain up-to-date knowledge of key software features and communicate effectively with customers to provide guidance and support
  • Act as a liaison between internal teams, end-users, and relevant stakeholders to advocate for and fulfill customer needs, translating technical requirements into software features
  • Contribute to the development and upkeep of user documentation and support knowledge base
  • Profile and identify bottlenecks in a diverse range of HPC applications across various architectures

Apply