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

Sr. Software Engineer

Irving, TX · Remote

$170K - $220K/yr

Cloud Infrastructure, High-Performance Computing (HPC), Software Engineering Location (City, State): Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ...

At Cornelis we're building the future of AI and HPC networking with an AI-first approach to silicon ... This is a remote position for employees residing within the United States. We offer a competitive ...

Technical Product Manager

Irving, TX · Remote

$150K - $200K/yr

... days remote Direct Hire - Must be authorized to work in the United States now and in the future ... Their collaborative, engineering-driven culture encourages innovation while providing employees ...

... remote troubleshooting of our highest tier of supercomputing clusters and their networking ... HPC - administering GPU-related workloads * Bachelor's degree in a related field or equivalent ...

Remote Hpc Engineer information

See Dallas, TX salary details

$38.6K

$100.7K

$136K

How much do remote hpc engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote hpc engineer in Dallas, TX is $100,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $115,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote HPC Engineer, and why are they important?

To thrive as a Remote HPC Engineer, you need a solid background in computer science or engineering, expertise in high-performance computing architectures, and experience with parallel programming. Familiarity with HPC job schedulers (like Slurm), Linux systems, distributed storage, and relevant certifications (such as CompTIA Linux+ or HPC-specific credentials) are commonly required. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for addressing complex technical challenges remotely. These competencies ensure efficient system performance, seamless collaboration, and successful support of computational research or enterprise workloads.

What are Remote HPC Engineers?

Remote HPC (High Performance Computing) Engineers are professionals who design, implement, and manage high-performance computing systems, typically from a remote location. They work with powerful computer clusters and supercomputers to support complex computations in fields like scientific research, engineering, and data analysis. Their responsibilities include configuring hardware and software, optimizing system performance, troubleshooting issues, and ensuring the security and reliability of HPC resources. By working remotely, these engineers can support organizations and research teams around the world without needing to be physically present at the data center.

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

AspectRemote Hpc EngineerRemote Cloud Engineer
Required CredentialsBachelor's in Computer Science or related, certifications like HPC or LinuxBachelor's in Computer Science or related, cloud certifications (AWS, Azure)
Work EnvironmentHigh-performance computing clusters, research labs, data centersCloud platforms, virtual environments, cloud service providers
Employer & Industry UsageResearch institutions, scientific organizations, tech companiesTech firms, startups, enterprises using cloud infrastructure
Common Search & ComparisonYesYes

The main difference between a Remote Hpc Engineer and a Remote Cloud Engineer lies in their focus areas. Hpc Engineers specialize in high-performance computing systems used for scientific and research purposes, while Cloud Engineers focus on designing and managing cloud-based infrastructure. Both roles require technical expertise and certifications, but their work environments and industry applications differ significantly.

How do Remote HPC Engineers typically collaborate with on-site teams to manage high-performance computing clusters?

Remote HPC Engineers often rely on robust communication tools and version control systems to coordinate with on-site system administrators, researchers, and IT staff. They participate in regular virtual meetings to discuss cluster performance, resolve technical issues, and plan for upgrades or maintenance. Secure remote access protocols allow engineers to monitor, troubleshoot, and configure systems from afar, but effective collaboration also depends on clear documentation and periodic knowledge sharing sessions. Building strong relationships with on-site personnel helps ensure smooth operations and prompt resolution of any hardware or software challenges.
What are the most commonly searched types of Hpc Engineer jobs in Dallas, TX? The most popular types of Hpc Engineer jobs in Dallas, TX are:
What are popular job titles related to Remote Hpc Engineer jobs in Dallas, TX? For Remote Hpc Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Hpc Engineer jobs in Dallas, TX look for? The top searched job categories for Remote Hpc Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Hpc Engineer jobs? Cities near Dallas, TX with the most Remote Hpc Engineer job openings:
Infographic showing various Remote Hpc Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $100,657 per year, or $48.4 per hour.

Sr. Software Engineer

Addison Group

Irving, TX • Remote

$170K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Job Title: Senior Software Engineer – Cloud Infrastructure / Network Automation

Industry: Cloud Infrastructure, High-Performance Computing (HPC), Software Engineering

Location (City, State): Hybrid (3 days onsite, 2 days remote)

Assignment Type: Direct Hire

Pay: $170,000–$220,000 base salary, plus performance bonus

Work Schedule: Full-time | Hybrid schedule (3 days onsite, 2 days remote)

Benefits: This position is eligible for medical, dental, vision, and 401(k).

About The Company

Our client is an innovative technology organization focused on building scalable cloud infrastructure and distributed computing solutions. Their engineering teams work on cutting-edge technologies that power modern infrastructure, automation, and high-performance computing environments. They offer a collaborative, engineering-driven culture where innovation, ownership, and teamwork are highly valued.

Job Description

We are seeking an experienced Senior Software Engineer to help design and develop modern infrastructure platforms, automation tools, and backend services supporting large-scale cloud environments. This is a hands-on engineering position where you'll collaborate with cross-functional teams to build reliable, scalable solutions while working with the latest cloud-native technologies.

Key Responsibilities

  • Develop software that automates infrastructure deployment, provisioning, and lifecycle management.
  • Design and build scalable backend applications and internal engineering tools.
  • Create automation solutions that improve operational efficiency across cloud environments.
  • Collaborate with network, platform, and security teams on infrastructure initiatives.
  • Develop APIs and services that enable self-service capabilities for internal engineering teams.
  • Implement Infrastructure-as-Code and automation best practices.
  • Integrate automated testing and deployment into CI/CD pipelines.
  • Participate in software architecture discussions and technical decision-making.
  • Monitor, troubleshoot, and improve system reliability and performance.
  • Contribute to distributed systems supporting large-scale compute workloads.

Qualifications

  • 5+ years of professional software engineering experience.
  • Strong experience developing backend applications in Go, Python, Java, C++, or Rust.
  • Hands-on experience working in Linux environments.
  • Experience with Kubernetes or other container orchestration platforms (EKS, AKS, ECS, GKE, etc.).
  • Solid understanding of cloud infrastructure and distributed systems.
  • Experience building APIs, automation platforms, or infrastructure services.
  • Knowledge of software engineering best practices, including testing, version control, and CI/CD.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent collaboration and communication abilities.

Additional Details

Preferred experience includes:

  • Network automation or infrastructure engineering
  • Infrastructure-as-Code tools such as Terraform or Ansible
  • Data center networking concepts
  • TCP/IP, DNS, HTTP, load balancing, or network security
  • Monitoring, observability, and telemetry platforms
  • Event-driven architectures and messaging systems
  • High-performance computing (HPC) or distributed computing environments
  • Open-source software contributions
  • AI or machine learning applications related to infrastructure

Candidates should have a stable work history, enjoy solving complex technical challenges, and thrive in collaborative engineering environments.

Perks

  • Competitive annual performance bonus
  • Employer-paid medical benefits for employees and families
  • 401(k) with generous company match
  • Company HSA contribution
  • 25 days of paid time off plus company holidays
  • Paid parental leave
  • Wellness and fitness membership
  • Daily lunch benefit while working onsite
  • Relocation assistance available for qualified candidates
  • Opportunity to work with modern cloud technologies and highly technical engineering teams