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Neural Dsp Jobs (NOW HIRING)

AI Kernel Engineer

Burlingame, CA · On-site

$110K - $270K/yr

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

AI Kernel Engineer

Burlingame, CA · On-site

$110K - $270K/yr

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

Signal Processing Engineer

Austin, TX · On-site

$121K - $230K/yr

... DSP) algorithms for on-chip and embedded implementation. In this role, you will create efficient ... Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g ...

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

Architect custom Digital Signal Processing (DSP) pipelines and time-series analytics to extract ... Neural Networks, causal inference, Gaussian regression, etc. 3+ Experience with Python (and related ...

Architect custom Digital Signal Processing (DSP) pipelines and time-series analytics to extract ... Neural Networks, causal inference, Gaussian regression, etc. 3+ Experience with Python (and related ...

Architect custom Digital Signal Processing (DSP) pipelines and time-series analytics to extract ... Neural Networks, causal inference, Gaussian regression, etc. 3+ Experience with Python (and related ...

Sr Staff R&D Engineer

Nicasio, CA · On-site

$206K - $276K/yr

... neural vocoders, latent diffusion models, and advanced retraining workflows. As a core member of ... Fluency in audio signal processing fundamentals and the integration of DSP into ML pipelines.

On-Device Research Engineer

San Jose, CA · On-site

$120K - $300K/yr

Experience with Hexagon DSP, NPUs, Ambiq class MCUs, or similar * Experience with knowledge distillation at scale, including teacher-ensemble or multi-stage distillation * Familiarity with neural ...

Showing results 41-60

Neural Dsp information

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How much do neural dsp jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for neural dsp in the United States is $16.28, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.55 per hour, depending on experience, location, and employer.

What are the common daily tasks and team interactions for a Neural DSP engineer?

A Neural DSP Engineer typically spends their days designing, implementing, and optimizing algorithms that combine neural network models with digital signal processing techniques. This can involve coding, running simulations, evaluating system performance, and troubleshooting both software and, in some cases, embedded hardware. Collaboration is frequent, as you will often work closely with software engineers, data scientists, audio engineers, or product managers to ensure that neural DSP solutions meet project requirements. Regular meetings and code reviews are standard, and you may participate in cross-functional teams working on research, prototyping, or product development. This collaborative environment fosters both technical growth and the exchange of new ideas.

What is a Neural DSP?

A Neural DSP job typically involves working with digital signal processing (DSP) for audio applications, particularly in developing software and hardware for music production and guitar effects. Employees in these roles may focus on algorithm development, software engineering, machine learning, or sound design. The job often requires expertise in audio signal processing, programming languages like C++ or Python, and an understanding of music technology.

What are the key skills and qualifications needed to thrive in the Neural DSP position, and why are they important?

To thrive as a Neural DSP (Digital Signal Processing) Engineer, you need a strong background in digital signal processing, neural network design, and proficiency with programming languages such as C++, Python, or MATLAB, typically backed by a degree in electrical engineering, computer science, or a related field. Experience with DSP development tools, neural network frameworks (like TensorFlow or PyTorch), and possibly embedded systems or audio processing platforms is highly valued. Excellent problem-solving abilities, adaptability, and effective collaboration are key soft skills in this multidisciplinary role. These abilities ensure you can design innovative neural DSP solutions, integrate them effectively into products, and work seamlessly across teams to meet cutting-edge technology needs.

More about Neural Dsp jobs
What states have the most Neural Dsp jobs? States with the most job openings for Neural Dsp jobs include:
Infographic showing various Neural Dsp job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $33,871 per year, or $16.3 per hour.

AI Kernel Engineer Intern - Kernel Optimization

quadric, Inc

Burlingame, CA • On-site

$45 - $60/hr

Internship

This job post has expired today. Applications are no longer accepted.


Job description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Note: Our preference is for this internship to be based out of our Burlingame, California office. Candidates should be based in the Bay Area or able to relocate for the internship period and available to work on site.
Responsibilities:
Kernel Implementation and optimization: Implement onnx operator kernels that are not in SDK yet. Fully utilize Claude Code to optimize the performance.

Requirements

  • MS student in CS/CE or related fields.
  • Proficiency in C/C++/Python
  • Experience in kernel implementation and optimization.
  • Experience in performance profiling.

Benefits

At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space.

The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual rate offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience and education, technical skills and competencies, and work location.

Quadric interns receive hands-on experience working alongside industry experts in AI and semiconductor technology, with access to mentorship and meaningful project ownership from day one.

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.

By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.


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About Quadric.io

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

11 - 50 Employees

Headquarters location

Burlingame, CA, US

Year founded

2016

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