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Manager Llvm Compiler Jobs (NOW HIRING)

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · Hybrid

$100K - $500K/yr

In this role you will lead development on TT-Forge, our MLIR-based compiler, and manage a team ... Strong knoweledge of MLIR, LLVM, or related infrastructure, with hands-on work in dialect design or ...

Intel Corporation

Compiler Engineer

Hillsboro, OR · On-site

$149K - $211K/yr

Multi-task and prioritize in a fast-paced environment; managing multiple complex, multidisciplinary ... Application of compiler concepts and techniques with experience in LLVM, GCC, or other compiler ...

Intel

Compiler Engineer

Hillsboro, OR

$149K - $211K/yr

Multi-task and prioritize in a fast-paced environment; managing multiple complex, multidisciplinary ... Application of compiler concepts and techniques with experience in LLVM, GCC, or other compiler ...

TetraMem Inc

Compiler Engineer

San Jose, CA · On-site

$160K - $300K/yr

... management of AI applications on TetraMem accelerators. * Implement compiler optimizations ... Experience with LLVM and other open-source compiler libraries and tools * Publications on ...

Persimmons

Compiler Engineer (Frontend)

San Jose, CA · On-site

... frameworks (LLVM, MLIR, TVM, XLA, IREE) * Proven track record of leading compiler or runtime ... Experience executing tasks while managing competing priorities * Practical knowledge working with ...

Nvidia

$104K - $143K/yr

Implement and improve features in LLVM Flang, OpenACC, and OpenMP. * Participate in the evolution ... If you're a creative and autonomous program manager with a real passion for technology, we want to ...

Nvidia

Senior Fortran Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Implement and improve features in LLVM Flang, OpenACC, and OpenMP. * Participate in the evolution ... If you're a creative and autonomous program manager with a real passion for technology, we want to ...

Intel

Compiler Engineer

Folsom, CA

$149K - $211K/yr

Multi-task and prioritize in a fast-paced environment; managing multiple complex, multidisciplinary ... Application of compiler concepts and techniques with experience in LLVM, GCC, or other compiler ...

Nvidia

Senior Fortran Compiler Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

Implement and improve features in LLVM Flang, OpenACC, and OpenMP. * Participate in the evolution ... If you're a creative and autonomous program manager with a real passion for technology, we want to ...

Persimmons

Compiler Engineer (Frontend)

San Jose, CA · On-site

... frameworks (LLVM, MLIR, TVM, XLA, IREE) * Proven track record of leading compiler or runtime ... Experience executing tasks while managing competing priorities * Practical knowledge working with ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

Manage and mentor a team of engineers, fostering technical growth and collaboration. * Plan and ... Strong background in compiler design (LLVM, optimization passes, IR transformations). * Expertise ...

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How much do manager llvm compiler jobs pay per year?

As of Jul 10, 2026, the average yearly pay for manager llvm compiler in the United States is $61,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $69,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Llvm Compiler jobs? The most popular types of Llvm Compiler jobs are:
Manager Llvm Compiler jobs near you
Infographic showing various Manager Llvm Compiler job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 79% As Needed, 18% Full Time, and 2% Summer. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $61,351 per year, or $29.5 per hour.
Compiler Engineer - Machine Learning Compiler

Compiler Engineer - Machine Learning Compiler

Mythic

Austin, TX

Full-time

Re-posted 10 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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