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Remote High Performance Computing Jobs in Texas (NOW HIRING)

Postdoctoral Fellow - Genomic Medicine

Houston, TX ยท On-site +1

$46K - $63K/yr

Experience working in a high-performance computing environment (Unix/Linux) using state-of-the-art GPU computing is required. Alternatively, candidates with a PhD in computational biology and ...

Postdoctoral Fellow - Genomic Medicine

Houston, TX ยท On-site +1

$46K - $63K/yr

Experience working in a high-performance computing environment (Unix/Linux) using state-of-the-art GPU computing is required. Alternatively, candidates with a PhD in computational biology and ...

Manager, Product Marketing

Plano, TX ยท On-site +1

$147K/yr

... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ... Our people-first culture and global support system, including the remote work option and Employee ...

We're a growing global team and a fully remote company. * Highly organized. We track everything in ... storage, S3 and high-performance computing. * MS or B.Sc. in CS, CE, EE or related fields.

This position is opened to remote work. This position will work on NASA's Development and Analysis ... our High-Performance Computing (HPC) system. * Perform verification and validation for flight ...

Solution Engineer

Frisco, TX ยท On-site +1

$98K/yr

... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ... Our people-first culture and global support system, including the remote work option and Employee ...

Software Engineer

Austin, TX ยท On-site +1

... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ... Our people-first culture and global support system, including the remote work option and Employee ...

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Showing results 1-20

Remote High Performance Computing information

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

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing (HPC) Specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

What is Remote High Performance Computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

How does a Remote High Performance Computing (HPC) professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.
What cities in Texas are hiring for Remote High Performance Computing jobs? Cities in Texas with the most Remote High Performance Computing job openings:
Infographic showing various Remote High Performance Computing job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Engineer, AI Compiler - Automotive SoC

Renesas Electronics

Dallas, TX โ€ข On-site, Remote

$103K - $142K/yr

Full-time

Posted 9 days ago


Job description

Job Description

Renesas Electronics is searching for a hands-on AI Compiler Engineer who thrives at the convergence of cutting-edge AI, compiler tech, and hardware design. Here, you'll not only architect and scale a production-class AI compiler toolchain, but also rethink how AI automates, optimizes, and accelerates every step of building and deploying neural networks on Renesas SoCs. You'll work shoulder-to-shoulder with visionary engineers-both human and AI-enabling adaptive compilers that learn, evolve, and redefine what's possible for embedded intelligence. With a relentless focus on hardware-software co-design, you'll collaborate across teams to translate high-level AI models into blazing-fast, energy-efficient executables, unlocking the full potential of our silicon for real-world impact. Innovation here isn't a catchphrase-it's your everyday.

What You'll Do

Own the design, implementation, and evolution of an AI compiler toolchain that leverages AI agents to seamlessly map neural networks onto Renesas SoC platforms.

Pioneer new graph transformations, lowering, scheduling, and codegen strategies for CPUs and custom accelerators, driven by insights from AI-powered analytics.

Build deep integrations with leading AI frameworks (PyTorch, TensorFlow, ONNX, and more), using AI agents to rapidly onboard new model architectures and ops.

Push the envelope on quantization, operator fusion, memory planning, and layout transformations-combining human expertise and AI-guided design for state-of-the-art results.

Partner with hardware and software architects, kernel hackers, and AI agents to co-design next-gen compiler and accelerator features, aligning silicon and code for maximum impact.

Diagnose and crush performance bottlenecks with AI-enabled profiling and diagnostics, relentlessly tuning for latency, throughput, and power efficiency.

Level up validation, benchmarking, and regression pipelines by harnessing AI agents-ensuring compiler correctness and world-class performance, release after release.

Uplevel the developer experience by streamlining usability, diagnostics, and documentation-AI agents are your copilots for user support, troubleshooting, and rapid iteration.

Qualifications
  • MS/PhD (or equivalent experience) in Computer Science, EE, or related field
  • Deep experience building AI compilers, accelerator backends, or graph optimization frameworks.
  • Strong expertise in graph optimization and performance optimization for NPUs or custom acceleratorsย 
  • Experience with MLIR, LLVM, TVM-like systems, or proprietary compiler IRs.
  • Excellent C/C++ and Python skills
  • Solid understanding of AI inference workloads (CNNs, transformers, perception or generative models)
  • Strong communication skills are required, e.g. agile development experience in Scrum team (Product Owner or Scrum Master)

Nice to Have:

  • Experience with automotive or safety-critical systems.
  • Background in heterogeneous SoCs (CPU/GPU/DSP/NPU)
  • Performance modeling or hardware-software co-design experienc
Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose 'To Make Our Lives Easier.' As the industry's leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, 'To Make Our Lives Easier.'ย ย ย  ย 
At Renesas, you can:ย 

  • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.ย ย 
  • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure.ย 
  • Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.ย ย  ย 

Are you ready to own your success and make your mark? ย 

Join Renesas. Shape Your Future with Us.ย ย 

Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law.ย For more information, please read ourย Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.