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Staff Compiler Engineer Jobs (NOW HIRING)

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$240K - $280K/yr

We are seeking a talented ML Compiler Engineer to join our engineering team and lead the development of our compiler. This role focuses on compiler development for our novel LLM accelerator ...

Neurophos Inc.

WI · On-site

$150 - $200/hr

We are seeking a talented ML Compiler Engineer to join our engineering team and lead the development of our compiler. This role focuses on compiler development for our novel LLM accelerator ...

Neurophos Inc.

$150 - $200/hr

We are seeking a talented ML Compiler Engineer to join our engineering team and lead the development of our compiler. This role focuses on compiler development for our novel LLM accelerator ...

Ericsson

Staff Compiler Design Engineer

Austin, TX · On-site

Grow with us Staff Compiler Engineer, Principal level Austin, Texas This is not a remote work opportunity. The Mission We are building an MLIR-based compiler and inference stack for custom AI silicon ...

Ericsson

Staff Compiler Design Engineer

Austin, TX · On-site

Grow with us Staff Compiler Engineer, Principal level Austin, Texas This is not a remote work opportunity. The Mission We are building an MLIR-based compiler and inference stack for custom AI silicon ...

Ericsson

Senior Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

We are hiring a Staff or Senior Compiler Engineer to work across the compiler stack. You will design and implement MLIR passes, debug IR transformations, optimize for real hardware constraints, and ...

Ericsson

Senior Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

We are hiring a Staff or Senior Compiler Engineer to work across the compiler stack. You will design and implement MLIR passes, debug IR transformations, optimize for real hardware constraints, and ...

The Mathworks

Compiler Engineer LLVM

Natick, MA · On-site

$112K - $144K/yr

Job Summary MathWorks has a hybrid work model that enables staff members to split their time ... Our optimizing compiler is actively developed by an elite team of talented programming language and ...

Qualcomm

LLVM/Ripple Compiler Engineer

San Diego, CA · On-site

Qualcomm is seeking a highly skilled Staff Engineer to drive development of LLVM-Ripple , its compiler toolchain, and the supporting ecosystem that enables highly-parallel application development on ...

Qualcomm

LLVM/Ripple Compiler Engineer

San Diego, CA · On-site

$150 - $200/hr

Qualcomm is seeking a highly skilled Staff Engineer to drive development of LLVM‑Ripple, its compiler toolchain, and the supporting ecosystem that enables highly‑parallel application development ...

Nutanix

Compiler Tools Engineer

Austin, TX · On-site

$125 - $150/hr

Job Area:Engineering Group, Engineering Group > Compiler Toolchain SoftwareGeneral Summary ... Staffing and recruiting agencies and individuals being represented by an agency are not authorized ...

Qualcomm

RISC-V CPU Compiler Engineer

Santa Clara, CA · On-site +1

RISC-V CPU Compiler Engineer Are you passionate about maximizing CPU performance and pushing the ... Staffing and recruiting agencies and individuals being represented by an agency are not authorized ...

Qualcomm

Compiler Tools Engineer

Austin, TX · On-site

$81K - $109K/yr

Job Area: Engineering Group, Engineering Group > Compiler Toolchain Software General Summary ... Staffing and recruiting agencies and individuals being represented by an agency are not authorized ...

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Staff Compiler Engineer information

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How much do staff compiler engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for staff compiler engineer in the United States is $99,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $125,000.00 per year, depending on experience, location, and employer.

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For Staff Compiler Engineer jobs, the most frequently searched job titles are:

Infographic showing various Staff Compiler Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 1% Temporary, and 5% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $99,330 per year, or $47.8 per hour.

Staff Compiler Engineer

Austin, TX • On-site

Neurophos Inc
1 - 10 employees
Learn more about Neurophos Incexternal

$240K - $280K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

About Neurophos
The demand for new data centers and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of traditional silicon. Conquering this bottleneck means rethinking the fundamental architecture of inference compute. The industry's current path can't meet the need, so we're taking a different approach.
Instead of traditional electronic circuits, we use silicon photonics and an active, programmable metasurface to perform matrix multiplications at the speed of light. Our optical cells are 10,000x smaller than traditional photonic components, enabling unprecedented density. By using photonics instead of electricity, our chips become more efficient as they scale. This architecture will deliver up to 100 times the energy efficiency of existing solutions while significantly improving performance for large-scale AI inference.
We've assembled a world-class team of industry veterans and recently raised a $110M Series A led by Gates Frontier. Participants include M12 (Microsoft's Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch Ventures, Tectonic Ventures, Space Capital, and others.
Join us and shape the future of computing!
Position Overview:
We are seeking a talented ML Compiler Engineer to join our engineering team and lead the development of our compiler. This role focuses on compiler development for our novel LLM accelerator architecture. This is one of several software stacks that seamlessly bridge high-level AI workloads with our custom hybrid optical-electronic compute hardware, enabling customers to realize game-changing performance.
Location: San Jose, CA or Austin, TX. Full-time onsite position.
Key Responsibilities:
  • Design and implement toolchains for our custom LLM accelerator architecture
  • Develop optimization strategies that bridge software algorithms to hardware implementations
  • Design and implement custom compiler components, including IR dialects, graph transformations, and lowering passes
  • Optimize computational graphs and memory access patterns for our hardware architecture
  • Integrate with existing ML frameworks (e.g., PyTorch, JAX, Triton).
  • Build and maintain test infrastructure to ensure compiler correctness and performance

Qualifications:
  • Master's degree in Computer Science or related field
  • 5+ years of experience in compiler development
  • Expert-level proficiency in Python and C
  • Experience with hardware compilers
  • Familiarity with Large Language Model architectures and their computational requirements
  • Hands-on experience with compiler frameworks and code optimization techniques
  • Deep understanding of computer architecture, memory hierarchies, and parallel computing concepts
  • Experience with AI/ML accelerators (GPUs, TPUs, FPGAs) and their programming models

Preferred Skills:
  • PhD in Computer Science or related field
  • 7+ years of industry experience
  • Strong background in graph theory and graph transformations in a compiler or optimization context; MLIR experience is a plus
  • Experience writing programs that parse, analyze, and mutate programs as abstract syntax trees
  • Experience in instrumenting and debugging parallel programs
  • Experience with structured, human-supervised AI/agentic coding workflows
  • Experience with LLM quantization techniques and model optimization
  • Experience with high-performance computing and low-latency system design
  • Familiarity with deep learning frameworks and neural network optimization

Technical Skills
  • Programming Languages: Python and C (essential), Assembly
  • Compiler Frameworks: LLVM, MLIR, GCC, custom backend development
  • Graph Theory: Graph algorithms, graph rewriting systems, DAG optimization
  • AST Processing: Parsing, analysis, and transformation of abstract syntax trees
  • Testing & QA: pytest, GoogleTest, or similar frameworks; static analysis tools
  • CI/CD: Jenkins, GitHub Actions, GitLab CI, or similar systems
  • LLM Technologies: Transformer architectures, attention mechanisms, quantization techniques
  • Development Tools: CMake, Git, Docker
  • Parallel Tools: Profilers, debuggers, and instrumentation for parallel/concurrent programs

Technical Environment
  • Languages: Python and C (primary), Assembly for low-level optimization
  • Compiler Tools: LLVM, MLIR, GCC, custom compiler backends
  • Testing: Automated test suites, continuous integration pipelines
  • Frameworks: PyTorch/JAX/Triton integration, custom inference engines
  • Focus Areas: Compiler backend development, optimization passes, hardware-software co-design

What We Offer
This is an opportunity to play a pivotal role in an innovative startup redefining the future of AI hardware. Work on game-changing technology at the intersection of photonics and AI as part of a collaborative, brilliant team. You'll contribute to a platform that redefines computational performance and accelerates the future of artificial intelligence. Come help us bring this transformative technology to the world.
Benefits
Join a team that invests in your future and your well-being. At Neurophos, we offer:
  • 100% coverage of base health plan premiums for you and your dependents, plus HSA contributions.
  • Unlimited PTO. No rigid vacation banks, just a focus on delivery.
  • 401(k) matching and stock option opportunities to ensure our success is your success.
  • Full suite of voluntary benefits, including Dental, Vision, Life, Hospital, Critical Illness, and Accident insurance.
  • Personalized Benefits. Choose the plans that fit your life and take the cash back for those that don't.

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