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Phd Software Engineer Jobs in Austin, TX (NOW HIRING)

Qualcomm

DSP Applications Software Engineer

Austin, TX · On-site

$154K - $231K/yr

OR PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work ...

webAI Inc

R&D Software Engineer

Austin, TX · On-site

As an R&D Software Engineer, you will be at the forefront of innovation at webAI. Rapidly turning ... or PhD preferred). * 5+ years of experience in prototype development, ideally in an R&D or high ...

Visa

Senior Software Engineer

Austin, TX · On-site

$110K/yr

As a Visa Software Engineer, you will be an integral part of a multi-functional development team ... Masters, MBA, JD, MD, or PhD) Preferred Qualifications • 3 or more years of work experience with ...

Qualcomm

DSP Applications Software Engineer

Austin, TX · On-site

$127K - $190K/yr

We are looking for an DSP applications software engineer to work in a team responsible for ... OR PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field. • 2+ ...

Nvidia

Senior Software Engineer, AI Networking

Austin, TX

$121K - $160K/yr

A Bachelor's, Master's or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience) * 8+ years of relevant ...

Nvidia

Senior Software Engineer, AI Networking

Austin, TX

$121K - $160K/yr

A Bachelor's, Master's or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience) * 8+ years of relevant ...

Qualcomm

DSP Applications Software Engineer

Austin, TX · On-site

$127K - $190K/yr

We are looking for an DSP applications software engineer to work in a team responsible for ... OR PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field. • 2+ ...

Nvidia

Senior Software Engineer - Local AI

Austin, TX · On-site

$121K - $160K/yr

Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, or a related field (or equivalent experience). * Excellent C++ programming and debugging skills with a strong ...

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All JobsPhd Software Engineer JobsPhd Software Engineer Jobs in Austin, TX

Phd Software Engineer information

See Austin, TX salary details

$62.9K

$146.2K

$203.7K

How much do phd software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for phd software engineer in Austin, TX is $146,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $171,500.00 per year, depending on experience, location, and employer.

What is a PhD software engineer?

A PhD Software Engineer is a professional who has completed a Doctor of Philosophy (PhD) degree specializing in computer science, software engineering, or a related field, and works in designing, developing, and optimizing software systems. They often engage in advanced research, develop innovative algorithms, and solve complex technical problems. Their expertise is typically utilized in roles that require deep technical knowledge, research skills, and the ability to push the boundaries of current technology. PhD Software Engineers are commonly found in academia, research institutions, and leading technology companies.

What does a PhD software engineer do?

As a PhD Software Engineer, you are often entrusted with tackling complex problems and leading research-driven projects that require advanced analytical and technical skills. Your daily work may involve designing novel algorithms, conducting experiments, and collaborating closely with cross-functional teams such as data scientists and product managers. Additionally, you might mentor junior engineers and help shape the technical direction of your team. This role leverages your research background to bridge the gap between academic innovation and practical software solutions.

What are the key skills and qualifications needed to thrive as a PhD software engineer?

A PhD Software Engineer requires advanced programming expertise, strong analytical and research skills, and typically a doctorate in computer science or a related field. Familiarity with specialized programming languages, version control systems like Git, and experience with research-oriented software tools are common technical requirements. Exceptional problem-solving, collaboration, and communication skills help bridge the gap between research and practical application. These abilities are crucial for driving innovation, translating complex theories into scalable solutions, and contributing to cutting-edge technology projects.

What are popular job titles related to Phd Software Engineer jobs in Austin, TX?

For Phd Software Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Phd Software Engineer jobs in Austin, TX look for?

The top searched job categories for Phd Software Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Phd Software Engineer jobs?

Cities near Austin, TX with the most Phd Software Engineer job openings:

Phd Software Engineer jobs near you
Infographic showing various Phd Software Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $146,227 per year, or $70.3 per hour.

Software Engineer II: AI Compiler Engineer

Cadence Design Systems Inc.

Austin, TX • Hybrid

$96K - $132K/yr

Full-time

Re-posted 7 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

34th of 246 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.com

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