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Remote Hpc System Engineer Jobs in Dallas, TX (NOW HIRING)

YO AI Labs

AI Consulting Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

... AI systems. In this role, you will evaluate, review, and refine AI-generated business content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

YO AI Labs

Machine Learning Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Software Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

RL Environment Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

SupplyHouse

Principal Engineer

Dallas, TX · Remote

$50K - $60K/yr

Lead system design discussions for high-traffic applications, ensuring robust architecture for ... System Engineering & Optimization * Build and maintain distributed systems using Spring Boot ...

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All JobsHpc System Engineer JobsRemote Hpc System Engineer JobsRemote Hpc System Engineer Jobs in Dallas, TX

Remote Hpc System Engineer information

See Dallas, TX salary details

$52.9K

$125.8K

$165.2K

How much do remote hpc system engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote hpc system engineer in Dallas, TX is $125,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $155,300.00 per year, depending on experience, location, and employer.

What is a remote HPC system engineer?

Remote HPC (High Performance Computing) System Engineers are IT professionals who design, implement, manage, and troubleshoot HPC systems and clusters from a remote location. They work with advanced computing infrastructure that supports scientific research, complex simulations, and large-scale data processing. Their responsibilities include configuring hardware and software, monitoring system performance, ensuring security, and providing technical support to users, all while working off-site. This role requires strong expertise in HPC technologies, operating systems like Linux, networking, and scripting, as well as effective communication skills for collaborating with distributed teams.

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

To thrive as a Remote HPC System Engineer, you need expertise in Linux system administration, parallel computing, networking, and a degree in computer science or related field. Familiarity with job schedulers (like Slurm), cluster management tools, scripting languages (such as Python or Bash), and certifications like CompTIA Linux+ or Red Hat Certified Engineer are highly valuable. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These skills ensure the reliable operation, optimization, and scalability of HPC systems in distributed environments.

What are some common challenges faced by remote HPC system engineers, and how can they be managed effectively?

Remote HPC System Engineers often encounter challenges such as troubleshooting complex hardware or software issues without physical access, ensuring seamless system performance, and coordinating with geographically dispersed teams. These can be managed by leveraging strong remote monitoring tools, maintaining clear documentation, and establishing effective communication channels with on-site staff. Proactively scheduling regular system health checks and participating in virtual team meetings can also help address problems quickly and maintain high system reliability.

What is the difference between Remote Hpc System Engineer vs Remote Cloud Infrastructure Engineer?

AspectRemote Hpc System EngineerRemote Cloud Infrastructure Engineer
CredentialsTypically requires Linux certifications, HPC-specific trainingOften requires cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentHigh-performance computing clusters, research labsCloud platforms, data centers, virtualized environments
Industry UsageResearch, scientific computing, academiaTech, finance, enterprise IT
Search/Comparison IntentUnderstanding HPC-specific roles vs cloud rolesComparing on-premise HPC vs cloud infrastructure

The Remote Hpc System Engineer focuses on managing and optimizing high-performance computing clusters, often in research or scientific environments. In contrast, the Remote Cloud Infrastructure Engineer specializes in designing and maintaining cloud-based infrastructure across various industries. While both roles require technical expertise in system management, their environments and certifications differ, catering to distinct operational needs.

What are popular job titles related to Remote Hpc System Engineer jobs in Dallas, TX?

For Remote Hpc System Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Hpc System Engineer jobs in Dallas, TX look for?

The top searched job categories for Remote Hpc System Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Hpc System Engineer jobs?

Cities near Dallas, TX with the most Remote Hpc System Engineer job openings:

Remote Hpc System Engineer jobs near you
Infographic showing various Remote Hpc System Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $125,845 per year, or $60.5 per hour.

AI Consulting Expert - Remote

YO AI Labs

Dallas, TX • Remote

$100 - $200/hr

Part-time

Posted 25 days ago

Job description

Job Title: AI Consulting Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated business content, helping enhance the quality, accuracy, and reasoning of AI outputs. No prior AI experience is required—your consulting expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business objectives.
  • Author, review, and enhance strategy reports, market analyses, business cases, executive summaries, and technical documentation.
  • Develop, refine, and evaluate prompts for AI models.
  • Conduct quality assurance and rubric-based evaluations of AI-generated outputs.
  • Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.
  • Provide actionable feedback and recommendations to improve AI model performance.
  • Collaborate remotely with project teams to support continuous AI improvement.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical & Report Writing
  • Business Communication
  • Content Review & Editing
  • Data Interpretation
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in strategy consulting, management consulting, corporate strategy, business transformation, or operations.
  • Experience preparing strategy reports, business cases, market analyses, client presentations, or executive recommendations.
  • Strong professional writing, business communication, and technical editing skills.
  • Excellent critical thinking, analytical reasoning, and structured problem-solving abilities.
  • Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA, JD, or PhD) is a plus.
  • Candidates with strong academic or professional achievements are encouraged to apply