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 Engin…
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 Engin…
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Full-time
bachelor degree, postgraduate degree
Competitive Benefits
Posted 53d ago
~40 hrs/week
Responsibilities
Develop a deep learning compiler stack to convert neural network descriptions from frameworks like PyTorch and TensorFlow into optimized code for embedded platforms. This includes implementing neural-network operations, optimizing mapping for Xtensa processors, and collaborating with hardware designers for acceleration.
Requirements
Requires a Bachelor's degree in Computer Science or Engineering with 3-5+ years of expertise in C and C++ programming. Candidates must have experience with compiler stacks like LLVM/MLIR and software development on Linux and Windows systems.
Full 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.
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.
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence’s Intelligent System Design™ strategy, are essential for the world’s leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the Wall Street Journal as one of the world’s top 100 best-managed companies. Cadence solutions offer limitless opportunities—learn more at www.cadence.com.
Offices: 2655 Seely Avenue, San Jose, California 95134, US
Based on 2361 listings with disclosed salaries, most engineering jobs in Austin, TX pay between $68k–$217k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Austin, TX right now?
There are currently 4,628 open engineering positions in Austin, TX listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Austin, TX?
Companies currently hiring include Applied Materials, Amazon, Fluidstack, AMD, Flex, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Austin, TX?
Yes — 1227 of the 4628 open engineering positions offer remote or hybrid work (299 remote, 928 hybrid).
How do I apply for Engineering jobs in Austin, TX?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.