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Work From Home Compiler Engineer Jobs (NOW HIRING)

Nvidia

Senior Fortran Compiler Engineer

OR · On-site +1

$104K - $143K/yr

... from the HPC community What we need to see: 6+ years experience working on a production Fortran ... NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity ...

Mythic

Compiler Engineer - MLIR / PyTorch Infrastructure

$110K - $144K/yr

The Compiler Engineer will advance the MLIR ecosystem by extending existing high-level dialects and ... Preferred : • Experience architecting complete MLIR flows: from frontend dialects down to ...

Mythic

Compiler Engineer - MLIR / PyTorch Infrastructure

$110K - $144K/yr

The Compiler Engineer will advance the MLIR ecosystem by architecting the migration of the existing ... Preferred : • Experience architecting complete MLIR flows: from frontend dialects down to ...

Mythic

Compiler Engineer - Machine Learning Compiler

... engineers and ML researchers to optimize deep learning workloads on cutting-edge dataflow hardware ... GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning • ...

Nvidia

Senior Performance Compiler Engineer - Triton

OR · On-site +1

$104K - $143K/yr

Your work will enable breakthroughs in large language models, agents, and other high-impact AI ... Ways to stand out from the crowd: Experience in tuning BLAS or deep learning library kernels.

Mythic

Compiler Engineer - Machine Learning Compiler

... engineers and ML researchers to optimize deep learning workloads on cutting-edge dataflow hardware ... GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning • ...

Nvidia

Senior CPU Compiler Engineer - HPC

$107K - $146K/yr

NVIDIA's HPC Compiler Team wants to hire a Compiler Developer to join the team building one of the ... work. If you're creative and autonomous, we want to hear from you. Your base salary will be ...

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

... programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler ... the ability to work in a dynamic product-oriented team. Ways to stand out from the crowd:

Nvidia

Senior CPU Compiler Engineer - HPC

$107K - $146K/yr

NVIDIA's HPC Compiler Team wants to hire a Compiler Developer to join the team building one of the ... work. If you're creative and autonomous, we want to hear from you. Your base salary will be ...

General Motors

Senior ML Compiler Engineer

$107K - $146K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you ...

Nvidia

Senior AI Compiler Engineer, MLIR

OR · On-site +1

$122K - $161K/yr

GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation ... Ability to work independently, define project goals and scope, and lead your own development ...

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

... programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler ... work in a dynamic product-oriented team. Ways to stand out from the crowd: Knowledge of CPU and/or ...

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Work From Home Compiler Engineer information

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$33K

$89.2K

$142K

How much do work from home compiler engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for work from home compiler engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What does a work from home compiler engineer do?

A Work From Home Compiler Engineer is responsible for designing, developing, and maintaining compilers, which are programs that translate source code written in one programming language into another language, often machine code. Working remotely, they collaborate with other engineers to optimize code performance, fix bugs, and implement new features. They often use programming languages like C, C++, or Rust and work with tools such as LLVM or GCC. Their role also involves code reviews, documentation, and ensuring the compiler integrates smoothly with other development tools.

What are the key skills and qualifications needed to thrive as a work from home compiler engineer?

To thrive as a Work From Home Compiler Engineer, you need a deep understanding of computer science fundamentals, compiler theory, and proficiency in programming languages like C++ or Rust, often supported by a relevant degree. Experience with build systems, version control tools (like Git), and familiarity with compiler frameworks such as LLVM or GCC is typically required. Strong problem-solving abilities, independent work ethic, and clear written communication are vital soft skills for remote collaboration and troubleshooting. These skills are crucial to effectively design, optimize, and maintain complex compiler systems while working autonomously and communicating with distributed teams.

How do work from home compiler engineers typically collaborate with team members on complex projects?

Work From Home Compiler Engineers frequently collaborate using a variety of remote communication tools such as version control systems, instant messaging, and video conferencing. They often participate in regular code reviews, pair programming sessions, and design discussions to ensure alignment and maintain code quality. Despite working remotely, they remain closely connected with other engineers, QA specialists, and product managers, making clear communication and thorough documentation essential. Project management platforms are commonly used to track progress and assign tasks, helping ensure that everyone stays on the same page.

What is the difference between Work From Home Compiler Engineer vs Software Developer?

AspectWork From Home Compiler EngineerSoftware Developer
Required CredentialsBachelor's in Computer Science, knowledge of programming languages, compiler theoryBachelor's in Computer Science or related field, programming skills
Work EnvironmentRemote, collaborative with engineering teams, specialized toolsRemote or on-site, diverse projects, coding and debugging
Industry UsageTech companies, compiler and language development firmsWide range of industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding specialized roles in compiler developmentGeneral software development roles

Work From Home Compiler Engineers focus on developing and optimizing compilers and language tools, requiring specialized knowledge in compiler theory. Software Developers have broader roles in creating applications across various industries. While both roles can be remote and require programming skills, the compiler engineer's work is more specialized and technical.

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Work From Home Compiler Engineer jobs near you
Infographic showing various Work From Home Compiler Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $89,183 per year, or $42.9 per hour.

Compiler Engineer - Machine Learning Compiler

Palo Alto, CA • Remote

Mythic
See more jobs at Mythicexternal

Full-time

Re-posted 5 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.