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Freelance Compiler Software Engineer Jobs (NOW HIRING)

Tenstorrent

Sr. Engineer, Software - AI Compiler

Austin, TX · On-site

$100K - $500K/yr

A passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds. * Fluent in C++ and Python ...

MatX

Software Engineer - Compiler

Mountain View, CA · On-site +1

$175K - $400K/yr

Possess outstanding software engineering skills with a focus on efficiency and performance * Possess experience in compiler algorithms, demonstrating proficiency in areas such as register allocation ...

Sigma Computing

Software Engineer - Compiler

New York, NY · On-site

$170K - $235K/yr

As a member of the Compiler Team, you will join a group of engineers dedicated to building the core ... high-quality software systems * Demonstrated success building and maintaining complex ...

MatX

Software Engineer - Compiler

Mountain View, CA · On-site

$175K - $400K/yr

Possess outstanding software engineering skills with a focus on efficiency and performance * Possess experience in compiler algorithms, demonstrating proficiency in areas such as register allocation ...

Futran Tech Solutions Pvt. Ltd.

GPU Software Engineer

$138K - $185K/yr

GPU Software Engineer Location: USA(Remote) Role Summary We are seeking expert-level GPU Software ... compiler and SDK. The role involves developing, optimizing, and porting GPU kernels and AI ...

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All JobsFreelance Compiler Software Engineer Jobs

Freelance Compiler Software Engineer information

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$24K

$104.9K

$189K

How much do freelance compiler software engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for freelance compiler software engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Compiler Software Engineer, and why are they important?

To thrive as a Freelance Compiler Software Engineer, you need a deep understanding of compiler theory, programming languages (such as C/C++ or Rust), and data structures, often supported by a degree in computer science or related experience. Proficiency with tools like LLVM, GCC, build systems, and debuggers, as well as familiarity with version control systems like Git, is typically required. Strong problem-solving, self-management, and communication skills help you deliver solutions to clients and collaborate remotely. These skills and qualities are crucial for building efficient, reliable compiler software and maintaining client trust in a competitive freelance environment.

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

AspectFreelance Compiler Software Engineer

Required CredentialsTypically a computer science degree or equivalent experience, knowledge of compiler design, programming languages, and software development tools.
Work EnvironmentIndependent, project-based work often involving specialized tasks like language parsing, optimization, and code generation.
Employer & Industry UsageUsed by tech companies, startups, or clients needing custom compiler solutions or language tools.
Common Search & ComparisonOften compared with general software developers but focuses on compiler-specific expertise.

While both roles involve software development, a Freelance Compiler Software Engineer specializes in designing and optimizing compilers and language tools, requiring specialized knowledge. In contrast, a Freelance Software Developer has a broader scope, working on various applications and systems without necessarily focusing on compiler technology.

What are some common challenges faced by freelance compiler software engineers when working with clients on diverse projects?

Freelance compiler software engineers often encounter challenges such as adapting quickly to different codebases, understanding varying project requirements, and integrating their work with existing developer teams. Since compiler projects can be highly specialized, clear communication with clients about technical constraints and expectations is crucial. Additionally, freelancers may need to juggle multiple projects simultaneously, which requires strong organizational skills and the ability to prioritize tasks effectively.

What is a Freelance Compiler Software Engineer?

A Freelance Compiler Software Engineer is a professional who specializes in designing, developing, and optimizing compilers on a contract or project basis rather than as a full-time employee. They work with programming languages and toolchains to translate source code into executable programs, ensuring efficiency and correctness. These engineers may be hired for projects such as building custom compilers, improving existing compiler performance, or integrating new language features. Freelancers enjoy flexibility in choosing projects and often work remotely for clients across various industries.
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Freelance Compiler Software Engineer jobs near you
Software Engineer II: AI Compiler Engineer

Software Engineer II: AI Compiler Engineer

Cadence Design Systems Inc.

Austin, TX • Hybrid

$96K - $132K/yr

Full-time

Posted 12 days ago

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Job Description

Cadence Design Systems Inc. is looking for a motivated Software Engineer II: AI Compiler Engineer to work with us.

As a Software Engineer II: AI Compiler Engineer you will work with complex high performance SoC's, and is one of the best kept secrets within the semi IP world powering AR/VR, HiFi Audio and Speech, Vision, Imaging and hundreds of intelligent IoT applications.

Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs) created in frameworks such as PyTorch or TensorFlow and converts them into optimized code suitable for execution on special-purpose and embedded platforms.

Cadence is also a Fortune 100 Best Companies to Work For.

Job Description:

  • Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs) created in frameworks such as Caffe, PyTorch, TensorFlow, etc. and converts them into code suitable for execution on special-purpose and embedded platforms.
  • Use modern compiler frameworks such as LLVM and MLIR.
  • Developing optimized implementations of a variety of neural-network operations and integrating them into a runtime framework
  • Developing new optimization techniques and algorithms to efficiently map CNNs onto a wide range of Xtensa processors and specialized hardware.
  • Benchmarking end-to-end network performance on a variety of DSP and special-purpose accelerator platforms.
  • Enhancing the framework to improve overall functionality and performance on the various hardware platforms.
  • Devising multiprocessor/multicore partitioning and scheduling strategies.
  • Developing complex programs to validate the functionality and performance of the CNN application programming kit.
  • Working with hardware designers to identify opportunities for additional hardware acceleration of neural network functions.
  • Working with industry-leading partners and customers to design and standardize neural network APIs..

Requirements:

  • Complete Bachelor in Computer Science or Computer Engineering or equivalent experience.
  • A high level of C and C++ programming expertise with 3-5+ years of experience is required.
  • Expertise in software development on Linux and Windows systems including test, debug and release is required.
  • Knowledge of and experience with a state-of-the-art compiler stack such as LLVM and MLIR.
  • Experience implementing compilation techniques such loop optimization, polyhedral models, and IR construction/transition/lowering techniques.

Nice to have:

  • Master or PhD.
  • 3+ years of experience working on a production compiler is highly desired.
  • Python experience highly desired
  • Prior work with CNNs and familiarity with deep learning frameworks (TensorFlow, Caffe/2, etc.) is a strong plus
  • Experience programming and optimizing for embedded platforms such as DSPs with DMA engines highly desired
  • Familiarity with the state-of-the-art deep learning compilation approaches (Glow, TVM, XLA, etc.) is a plus
  • Familiarity with various deep learning networks and their applications (Classification/Segmentation/Object Detection/RNNs) is a plus
  • Knowledge of neural net exchange formats (ONNX, NNEF) is a plus

Additional Job Details:

  • Employment term: 40 hours/week.
  • Hybrid work.
  • Competitive benefits.

Cadence is the only company that provides the expertise and tools, IP, and hardware required for the entire electronics design chain, from chip design to chip packaging to boards and to systems. We enable electronic systems and semiconductor companies to create innovative products that transform the way people live, work, and play. Our products are used in mobile, consumer, cloud datacenter, automotive, aerospace, IoT, industrial and other market segments.

For more information, access http://www.cadence.co

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