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Remote High Performance Computing Engineer Jobs in Austin, TX

Mirantis

Technical Product Manager, AI Storage

Austin, TX · On-site +1

$165K - $191K/yr

... engineering teams to deliver composable, production-ready developer platforms across any ... GPU cloud storage sits at the intersection of high-performance computing and multi-tenant cloud ...

YO AI Labs

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... high-performance horizontally scaled machine learning architecture. * Have an expert level ...

Cornelis Networks

AI Platform Engineer

Austin, TX · On-site +1

Cornelis Networks delivers high-performance scale-out networking solutions for AI and HPC ... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ...

Ladder

Senior iOS Engineer @ Ladder

Austin, TX · Remote

$138K/yr

Remote-friendly (US time zones) with HQ in Austin, TX. We are growing rapidly - $60M ARR ($3M in ... Architect, develop, and ship high-performance iOS features in Swift (SwiftUI/UIKit) * Work to build ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

... to build high-performance infrastructure, optimize cloud environments, and enable continuous ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Self Financial, Inc.

Senior DevOps Engineer

Austin, TX · On-site +1

$130K - $160K/yr

... high-performance, 24x7, SRE/SysOps/DevOps team * 5+ years of experience with a version control ... Remote work arrangements/ flexible work schedule * Paid parental leave Self Financial requires all ...

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Remote High Performance Computing Engineer information

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How much do remote high performance computing engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote high performance computing engineer in Austin, TX is $59.58, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.45 per hour, depending on experience, location, and employer.

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 Austin, TX? The most popular types of High Performance Computing Engineer jobs in Austin, TX are:
Remote High Performance Computing Engineer jobs near you

Compiler Engineer - Machine Learning Compiler

Mythic

Austin, TX • Remote

Full-time

Re-posted 7 days ago

Job description

About us

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications—whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from –40 °C to +125 °C, making it ideal for industrial, automotive, aerospace, and defense.
We’ve raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

About the role

Join us in building the next generation of AI compilers. You’ll play a key role in developing the compiler for our novel AI accelerator, working side-by-side with hardware engineers and ML researchers. Your work will shape how deep learning workloads run on cutting-edge dataflow hardware—defining the instruction set, execution model, and developer experience. The result: a compiler that delivers breakthrough performance while remaining seamless and intuitive for ML developers.
Here's what you will do
  • Contribute across the full compiler stack, including operator lowering, graph/IR transformations, optimization passes, and backend code generation
  • Optimize for dataflow architectures, developing pipelined schedules, memory orchestration, and resource-constrained execution strategies
  • Collaborate with hardware architects to influence architectural features, ensuring the compiler and hardware evolve together
  • Develop compilation strategies that unify our analog compute with digital subsystems
  • Build and maintain a compiler that produces high-performance binaries with strong debugging support, clear error messages, and predictable performance models
Here's the background we hope you will have
  • 3+ years of experience building compilers or high-performance systems software, especially those involving complex resource management or optimization.
  • Expert in modern C++ (C++14/17/20) and strong Python.
  • Experience with compiler IRs (SSA-based or graph-based), transformations, and code generation
  • Exposure to specialized accelerators (GPU, NPU, FPGA, or custom ASIC) or parallel architectures
The following would be nice to have, but is not required
  • Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with contributions to MLIR or LLVM projects a plus
  • Experience with optimization methods (LP/MIP, CP, SAT/SMT) using solvers like Gurobi or OR-Tools for scheduling and resource allocation
  • Experience compiling for specialized accelerators (GPU, NPU, FPGA, or custom ASIC) on DNN workloads; GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning
  • Familiarity with heterogeneous compilation, especially mixing custom accelerators with CPUs/GPUs/NPUs, and exposure to analog or in-memory compute is a plus
  • Experience collaborating in compiler–hardware co-design (architecture + ISA) for better compiler usability and hardware efficiency
What we offer
  • The opportunity to shape how deep learning and LLM workloads are compiled on novel hardware.
  • A role that spans software and hardware co-design, shaping both the compiler and the accelerator architecture
  • A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design. We foster an environment of shared learning and technical excellence
  • Competitive compensation, equity, and benefits package
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.