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Remote High Performance Computing Engineer Jobs in Texas

drillinginfo

Principal Software Engineer - 26219

Austin, TX · On-site +1

$133K - $179K/yr

Description Principal Software Engineer Why YOU want this position At Enverus, we're committed to ... Experience with high-performance computing (HPC).Experience with energy markets, power systems, or ...

LSU AgCenter

Postdoctoral Researcher

Center, TX · On-site +1

... high performance computing (HPC) systems. The project will focus on extending the C++ based HPX ... Design and implement HPX extensions that schedule quantum kernels on remote quantum processors ...

Meta

ASIC Engineer, Power

Austin, TX · On-site +1

$146K/yr

As an ASIC Engineer specializing in power on the EDA Infrastructure team, you will develop and ... Familiarity with custom or semi-custom design flows for high-performance computing or data center ...

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Remote High Performance Computing Engineer information

What is the difference between Remote High Performance Computing Engineer vs Remote Data Scientist?

AspectRemote High Performance Computing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience with HPC systemsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in programming and analytics
Work EnvironmentDesigning, optimizing, and maintaining HPC systems remotely for scientific or engineering tasksAnalyzing large datasets, building models, and generating insights remotely for various industries
Employer & Industry UsageTech companies, research institutions, engineering firms using HPC clustersTech, finance, healthcare, and research organizations leveraging data analytics

While both roles often require strong programming skills and familiarity with cloud or remote systems, the HPC Engineer focuses on maintaining and optimizing high-performance computing infrastructure, whereas the Data Scientist emphasizes data analysis and modeling. Their work environments overlap in remote settings, but their core responsibilities differ significantly.

Are remote high performance computing engineers in demand?

Remote high performance computing (HPC) engineers are in high demand due to the increasing need for processing large datasets and complex simulations across industries like research, finance, and technology. Skills in parallel programming, cluster management, and knowledge of tools such as MPI and CUDA enhance employability in this growing field.

How much do remote high performance computing engineers make in the US?

Remote high performance computing (HPC) engineers in the US typically earn between $80,000 and $150,000 annually, depending on experience, education, and specific industry. Senior roles or those requiring specialized skills in parallel processing, cluster management, or GPU computing may offer higher salaries, especially with certifications or advanced degrees.
What are the most commonly searched types of High Performance Computing Engineer jobs in Texas? The most popular types of High Performance Computing Engineer jobs in Texas are:
What cities in Texas are hiring for Remote High Performance Computing Engineer jobs? Cities in Texas with the most Remote High Performance Computing Engineer job openings:
Remote High Performance Computing Engineer jobs near you

Principal Software Engineer - 26219

drillinginfo

Austin, TX • On-site, Remote

$133K - $179K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 16 days ago

Job description

Description
Principal Software Engineer
Why YOU want this position
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
The are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
As part of the Power & Energy Transition business unit, you'll help build systems that support congestion analysis, forecasting, and grid optimization across North American power markets. Our platform combines distributed systems, machine learning, large-scale data processing, and complex computational models to deliver critical insights in near real time.
We're looking for a Principal Engineer who enjoys solving difficult technical problems, building highly scalable systems, and helping shape the technical direction of a rapidly growing platform.
The role
This is a hands-on technical leadership position.
You'll design and build production systems, lead architectural initiatives, mentor engineers, and partner with Product, SRE, Security, and other engineering teams to deliver reliable, scalable software. We expect Principal Engineers to remain deeply involved in implementation while driving technical strategy across multiple systems and teams.
What you'll do
  • Design, build, and operate highly scalable backend systems and data platforms.
  • Lead architecture and technical decision-making across multiple services and product areas.
  • Own complex engineering initiatives from design through production deployment.
  • Improve system reliability, observability, performance, and operational excellence.
  • Simplify and modernize existing systems as technologies and business needs evolve.
  • Mentor engineers through design reviews, code reviews, and technical leadership.
  • Collaborate closely with Product, Data Science, SRE, and Security teams.

What you'll bring
  • 8+ years of professional software engineering experience.
  • Demonstrated experience designing and building highly scalable distributed systems.
  • Strong hands-on programming experience in Python, Go, or Rust.
  • Experience with data-intensive applications, pipelines, and large-scale processing systems.
  • Experience working with Kubernetes and a major cloud platform (AWS, GCP, or Azure).
  • Strong understanding of system architecture, software design, and operational excellence.
  • Demonstrated technical leadership and ownership of large engineering initiatives.
  • Excellent collaboration and communication skills

Nice to have
  • Experience optimizing computationally intensive systems or algorithms.
  • Experience with high-performance computing (HPC).Experience with energy markets, power systems, or other highly complex domains.
  • Experience with AI/ML infrastructure and production AI systems.

Technologies we use
Python, Go, Rust, Kafka, MySQL, ClickHouse, Kubernetes, Docker, AWS, Terraform, Pulumi, Argo, Grafana, Sentry, Honeycomb, Claude, AWS Bedrock, and LangChain.
While experience with every technology is not required, successful candidates will have deep expertise in several areas and the ability to quickly learn new technologies as needed.
What We Offer
Enverus offers comprehensive benefits to our employees to include:
  • Medical
  • Dental
  • Vision
  • Income Protection (disability, life/AD&D, critical illness, accident)
  • Employee Assistance Program (EAP)
  • Healthcare Spending Account (HSA), Commuter
  • Lifestyle & Wellbeing Program
  • Pet Insurance

This role is eligible for: Variable Compensation
Salary Range: 140000-160000

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