ZipRecruiter

Log In

1

Neural Dsp Jobs in California (NOW HIRING)

quadric, Inc

Deep Learning Compiler Engineer

Burlingame, CA · On-site +1

$110K - $270K/yr

... DSP and control code. Role As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and ...

quadric, Inc

AI Applications 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 ...

Qualcomm

Speech & Audio Research Engineer

San Diego, CA · On-site

$148.30 - $222.50/hr

Embedded software development for ARM, DSP, and/or neural signal processing hardware * Ph.D. in Electrical Engineering or Computer Engineering Minimum Qualifications * Bachelor's degree in ...

quadric, Inc

AI Applications 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 ...

quadric, Inc

AI Applications 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 ...

quadric, Inc

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 ...

quadric, Inc

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 ...

next page

Showing results 1-20

All JobsNeural Dsp JobsNeural Dsp Jobs in California

Neural Dsp information

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.

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 are popular job titles related to Neural Dsp jobs in California?

For Neural Dsp jobs in California, the most frequently searched job titles are:

What job categories do people searching Neural Dsp jobs in California look for?

The top searched job categories for Neural Dsp jobs in California are:

Neural Dsp jobs near you
Infographic showing various Neural Dsp job openings in California as of August 2026, with employment types broken down into 2% As Needed, 62% Full Time, 34% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Senior Systems Engineer - Signal Processing, Algorithms and Characterization

Palo Alto, CA

Mythic
See more jobs at Mythicexternal

$122K - $168K/yr

Full-time

Re-posted 28 days ago

Job description

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications—whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from –40 °C to +125 °C, making it ideal for industrial, automotive, aerospace, and defense. We’ve raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

Mythic's analog compute hardware is a massive integration of analog and digital components on a single chip, with multiple cascaded digital and analog stages. The fundamental compute atomic is a vector-product that is entirely processed in the analog domain. So, analog impairments like ADC/DAC non-linearity and weight-noise directly impact the accuracy of the vector-multiply operation. Mitigation techniques for these impairments thus become critical and is the realm that the Systems Engineer operates in. Therefore, the Systems Engineer role maps directly onto skills from RF baseband, high-speed digital communication system design and RF sensing— think Wi-Fi, SerDes, gigabit Ethernet and sensor signal processing. 

The Systems Engineering team

  • Sits at the intersection of Analog, AI, Firmware and Silicon Productization,

  • Models analog effects and their impact on neural network performance.

  • Develops signal-processing based solutions to mitigate impact of analog impairments on neural network accuracy

  • Works cross-functionally to validate, debug, and optimize analog compute hardware.

  • Contributes to the design of next-generation hardware.

  • Brings up new silicon, characterizes silicon performance and develops effective approaches for silicon screening

  • Builds frameworks for large-scale data capture and statistical error analysis for analog compute in the simulation domain and on actual silicon hardware

Here's what you will do

  • Own various aspects of algorithms and DSP blocks that optimize the performance of Mythic’s unique analog compute-in-memory technology from concept to customer deployment. This includes calibration loops, non-linearity compensation, offset-correction and estimation of residual-errors.

  • Work with model-training, compiler and firmware teams to productize these algorithms.

  • Write and modify firmware as needed to productize/debug algorithms

  • Continually improve on the fidelity of our modeling and simulation environment to better predict silicon performance.

  • Correlate errors seen on silicon to simulation models and contribute to improving the fidelity of our models for analog compute.

  • Develop Python frameworks for data collection, error-analysis and quantify impact of analog impairments on neural-network accuracy

  • Silicon bring-up, Characterization and Performance-Optimization.

Here's the background you need to have

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Mathematics, Physics or a related field.

  • At least 5 years experience in production DSP or RF baseband engineering (< 3 years if Ph.D or M.S.)

  • Strong familiarity with production Python coding, including object oriented and/or functional programming

  • Strong familiarity with core DSP concepts, including frequency domain analysis, filtering, statistical signal processing and estimation theory

  • Track record of shipping silicon with DSP or RF/Analog sub-systems. 

  • Understanding of linear algebra concepts, including matrix math and linear regression. 

  • Comfort with large-scale collection and processing of signals. 

  • Commitment to quality and engineering excellence.

  • Strong communication skills.

The following would be nice to have

  • MS/PhD in Electrical Engineering, Computer Science, Mathematics, Physics or related field.

  • Experience with RF calibration and silicon-bringup in the high-speed communication space

  • Strong familiarity with NumPy/SciPy (or experience with Numpy and strong familiarity with MATLAB for DSP).

  • Familiarity with state-of-the-art neural network architectures

Compensation is based on a variety of factors, including but not limited to: location, education, and years of experience.
At Mythic, we pride ourselves in creating a culture where all employees feel valued and appreciated for the diverse perspectives and backgrounds they bring to the team. We aim to hire smart people, give them the resources they need to do their job well, and then leave the rest up to them. We celebrate individual differences and encourage people to be comfortable bringing their authentic selves to work. At the end of the day, we are committed to building a diverse workforce where everyone belongs.

Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

We look forward to reviewing your application!