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Full Time Neural Network Engineer Jobs (NOW HIRING)

Urnet Inc

Engineer

Houston, TX · On-site

$100K - $150K/yr

This position requires a deep understanding of C++ programming to develop and optimize algorithms that power our neural network models. Ultimately, your contributions will help shape the future of ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Design and train novel deep neural network architectures from scratch for a variety of ... Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field.

Avride

Machine Learning Engineer

Austin, TX · On-site

Required : • Strong understanding of fundamental machine learning algorithms and neural network ... Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the ...

JS Consulting

Network Engineer

Baton Rouge, LA · On-site

Job Title- Network Engineer with Data Center Project Location - Baton Rouge LA 70803 - Hybrid Duration- Full-time Interview: WebEx Must have Valid LinkedIn profile. -: The Network Engineering role ...

AAC Inc

Network Engineer

Fairfax, VA

Senior Network Engineer (CONUS) Location: Washington, DC, San Antonio, TX, or Honolulu, HI Security ... Active SECRET Clearance Required (or ability to obtain prior to start) Employment Type: Full-Time ...

AAC

Network Engineer

Fairfax, VA · On-site

Senior Network Engineer (CONUS) Location: Washington, DC, San Antonio, TX, or Honolulu, HI Security ... Active SECRET Clearance Required (or ability to obtain prior to start) Employment Type: Full-Time ...

American Addiction Centers

Network Engineer

Fairfax, VA · On-site

Senior Network Engineer (CONUS) Location: Washington, DC, San Antonio, TX, or Honolulu, HI Security ... Active SECRET Clearance Required (or ability to obtain prior to start) Employment Type: Full-Time ...

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How much do full time neural network engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time neural network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Neural Network Engineer jobs?

The most popular types of Neural Network Engineer jobs are:

Full Time Neural Network Engineer jobs near you

Software Engineer II: AI Compiler Engineer

Cadence Design Systems Inc.

Austin, TX • Hybrid

$96K - $132K/yr

Full-time

Re-posted 6 days ago

Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies

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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