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Full Time Compiler Software Engineer Jobs (NOW HIRING)

Software Engineer II: AI Compiler Engineer

Austin, TX · Hybrid

$96K - $132K/yr

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 ...

Software Engineer, AI Compiler

Austin, TX · On-site

$100K - $500K/yr

Alignment with hardware, software, and ML teams to ensure the compiler supports realistic ... Insight to identify bottlenecks, debug performance issues, and improve developer workflows across ...

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 ...

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 ... Benefits For Our Full-Time Employees: * Equity * Generous health benefits * Flexible time off ...

Possess outstanding software engineering skills with a focus on efficiency and performance ... this full-time position is determined based on a variety of factors including role, experience ...

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Full Time Compiler Software Engineer information

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How much do full time compiler software engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for full time compiler software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Full Time Compiler Software Engineer jobs? Cities with the most Full Time Compiler Software Engineer job openings:
What are the most commonly searched types of Compiler Software Engineer jobs? The most popular types of Compiler Software Engineer jobs are:
Infographic showing various Full Time Compiler Software Engineer job openings in the United States as of June 2026, with employment types broken down into 29% Full Time, and 71% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Software Engineer II: AI Compiler Engineer

Software Engineer II: AI Compiler Engineer

Cadence

Austin, TX • Hybrid

$96K - $132K/yr

Full-time

Posted 5 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.com

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