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Solidity Compiler Frontend Engineer

$140K - $220K/yr

Strong understanding of the Ethereum Virtual Machine (EVM) and smart contract execution models ... Experience with LLVM or similar compiler infrastructure * Knowledge of programming language ...

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How much do contract compiler engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for contract compiler engineer in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

What is a contract compiler engineer?

Contract Compiler Engineers are specialized software engineers who design, develop, and maintain compilers for smart contracts, often in blockchain environments. They ensure that smart contract code written in high-level languages (like Solidity) is accurately and efficiently translated into bytecode that can run on blockchain platforms (such as Ethereum). Their work is crucial for the secure and reliable execution of decentralized applications. These engineers typically have strong programming skills, deep knowledge of compiler theory, and an understanding of blockchain technologies.

What are the key skills and qualifications needed to thrive as a contract compiler engineer?

To thrive as a Contract Compiler Engineer, you need a strong background in computer science, compiler theory, and smart contract development, often supported by a degree in a related field. Expertise in programming languages like Solidity, Rust, or C++, familiarity with blockchain platforms (such as Ethereum), and experience using tools like LLVM or EVM are typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are essential for building secure, efficient compilers that enable reliable smart contract execution on blockchain networks.

What are some typical challenges a contract compiler engineer faces when optimizing smart contract code for blockchain platforms?

Contract Compiler Engineers often encounter challenges related to ensuring smart contracts are both secure and efficient, given the resource limitations of blockchain platforms. They must carefully optimize code to reduce gas consumption without introducing vulnerabilities or breaking contract logic. Additionally, adapting compilers to support new blockchain protocols or languages can require deep knowledge of both compiler theory and the unique standards of decentralized systems. Collaboration with security auditors and blockchain developers is also crucial to ensure contract integrity and performance.
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Contract Compiler Engineer jobs near you
Infographic showing various Contract Compiler Engineer job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $101,781 per year, or $48.9 per hour.

Compiler Engineer - Machine Learning Compiler

Austin, TX • On-site

Mythic
See more jobs at Mythicexternal

Full-time

Re-posted 16 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.
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