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Compiler Engineer Jobs in Sunnyvale, CA (NOW HIRING)

Provide technical leadership across the compiler team, mentoring engineers in advanced compiler techniques, and help scale the team as the company grows. Requirements What You Bring To The Table ...

Provide technical leadership across the compiler team, mentoring engineers in advanced compiler techniques, and help scale the team as the company grows. Requirements What You Bring To The Table ...

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a focus on upstream engagement with the LLVM ecosystem and advancing NVIDIA's compiler technology through ...

Senior Compiler Engineer - PVA

Santa Clara, CA ยท Hybrid

$122K - $168K/yr

NVIDIA is now looking for a Senior Compiler Engineer to join our Programmable Vision Accelerator (PVA) Tools Team! Are you ready to push the boundaries of what's possible? NVIDIA has revolutionized ...

NVIDIA's HPC compiler group wants to hire a Fortran compiler developer to join the team building one of the world's most important optimizing compilers. If you want a front-row seat to ...

NVIDIA is hiring a Senior Compiler Engineer to join our team driving the next generation of GPU systems programming. We are redefining how developers write high-performance GPU software by bringing ...

Exceptional abilities in MLIR dialect design, lowering pass authoring, and rewrite patterns * 5+ years compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design ...

Showing results 21-40

Compiler Engineer information

See Sunnyvale, CA salary details

$38.7K

$104.7K

$166.7K

How much do compiler engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for compiler engineer in Sunnyvale, CA is $104,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $127,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Compiler Engineer, you need a solid background in computer science, strong skills in programming languages such as C/C++, deep knowledge of compiler theory, and experience with code optimization or language design. Familiarity with build systems, LLVM or GCC toolchains, and source control systems is commonly required, and certifications such as a relevant computer science degree may be advantageous. Excellent problem-solving abilities, attention to detail, and effective collaboration and communication skills help set top candidates apart. These skills are essential for building robust, efficient compilers and collaborating effectively within software engineering teams.

What does a compiler engineer do?

A Compiler Engineer designs, develops, and optimizes compilers, which are programs that translate high-level programming languages into machine code. They work on improving performance, ensuring efficient code generation, and implementing language features. Their role often involves working with hardware architectures, debugging complex issues, and enhancing compiler optimizations for speed and efficiency.

What job categories do people searching Compiler Engineer jobs in Sunnyvale, CA look for? The top searched job categories for Compiler Engineer jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Compiler Engineer jobs? Cities near Sunnyvale, CA with the most Compiler Engineer job openings:
Infographic showing various Compiler Engineer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $104,670 per year, or $50.3 per hour.

Compiler Engineer - Machine Learning Compiler

Mythic

Palo Alto, CA โ€ข On-site

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.
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