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Contract Compiler Software Engineer Jobs in California

Qualcomm

GPU Compiler Performance

Santa Clara, CA · On-site

$133K - $200K/yr

... Software Engineering, Hardware Engineering, Systems Engineering, or related work experience ... compiler software to support GPU products. • Writes technical documentation and feature ...

Lemurian Labs

Front End Compiler

Santa Clara, CA

We're building a new kind of software stack: a hardware-agnostic platform that makes every system ... Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any ...

Qualcomm

#Embedded Software Engineer

San Diego, CA · On-site

$139K - $183K/yr

Engineering Group, Engineering Group > Software Engineering General Summary: ** This position is ... Experience in Compiler and JIT technologies is a plus * Experience with optimizing for popular CPU ...

Nvidia

Senior Compiler Engineer - DL

Santa Clara, CA · On-site

$122K - $168K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

Cisco

Software Engineer

Milpitas, CA · On-site

$165K - $241K/yr

Build, optimize, and enhance the backend of the P4 compiler to fully leverage the capabilities of ... Experience with network-processor software programming is a strong plus. * Hands-on experience with ...

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All JobsContract Compiler Software Engineer JobsContract Compiler Software Engineer Jobs in California

Contract Compiler Software Engineer information

What is the difference between Contract Compiler Software Engineer vs Compiler Developer?

AspectContract Compiler Software EngineerCompiler Developer
CredentialsBachelor's in Computer Science or related field; experience with compiler toolsBachelor's or higher in Computer Science; specialized knowledge in compiler design
Work EnvironmentContract-based, project-specific, often in tech or software companiesFull-time, research or product-focused teams in tech firms or academia
Industry UsageCommon in software development, tech consulting, and freelance projectsPrimarily in software development, research, and academia
Search & Comparison IntentLooking for contract roles involving compiler workSeeking in-depth compiler development roles

The Contract Compiler Software Engineer typically works on specific projects under contract, focusing on implementing or maintaining compiler features. In contrast, a Compiler Developer often works full-time on designing and improving compiler systems. Both roles require similar technical skills and educational backgrounds, but differ mainly in employment type and scope of work.

What are the most commonly searched types of Compiler Software Engineer jobs in California? The most popular types of Compiler Software Engineer jobs in California are:
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Contract Compiler Software Engineer jobs near you
Compiler Engineer - Machine Learning Compiler

Compiler Engineer - Machine Learning Compiler

Mythic

Palo Alto, CA

Full-time

Posted 28 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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