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Dsp Programmer Jobs in Texas (NOW HIRING)

SWITS DIGITAL Private Limited

Lead RTL Engineer

Austin, TX · On-site

$101K - $133K/yr

Lead RTL Engineer Location: Austin, TX (Onsite) Key Skills * RTL Lead experience * Processor/CPU ... Strong experience in Processor, DSP, or datapath-intensive designs. * Familiarity with advanced ...

EOS

IT Support Engineer

Austin, TX · On-site

This includes hands-on work with modern AV control systems, audio DSP platforms, and enterprise ... Experience in an IT Engineer/Technician role with exposure to AV environments. * Hands-on ...

Globalfoundries

Director of DSP/VPX Business

Austin, TX

$152K - $292K/yr

Director of DSP/VPX business drive product line management, responsible for lifecycle, strategy ... Collaborate with engineering, sales, marketing, and manufacturing teams to ensure alignment on ...

EOS

IT Support Engineer

Austin, TX · On-site

$65K - $75K/yr

This includes hands-on work with modern AV control systems, audio DSP platforms, and enterprise ... Experience in an IT Engineer/Technician role with exposure to AV environments. * Hands-on ...

EOS

IT Support Engineer

Austin, TX · On-site

$65K - $75K/yr

This includes hands-on work with modern AV control systems, audio DSP platforms, and enterprise ... Experience in an IT Engineer/Technician role with exposure to AV environments. * Hands-on ...

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Dsp Programmer information

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How much do dsp programmer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for dsp programmer in Texas is $55.13, according to ZipRecruiter salary data. Most workers in this role earn between $54.04 and $56.25 per hour, depending on experience, location, and employer.

What is a DSP programmer?

DSP Programmers are specialists who design, develop, and implement software for Digital Signal Processors (DSPs), which are specialized microprocessors used to process digital signals in real time. They typically work with audio, video, communications, radar, or other data that require high-speed mathematical processing. DSP Programmers write code—often in languages like C, C++, or assembly—to create algorithms that manipulate signals for various applications, such as audio enhancement, noise reduction, or image processing. Their work is crucial in industries like telecommunications, audio engineering, and consumer electronics.

What are the key skills and qualifications needed to thrive as a DSP programmer?

To thrive as a DSP Programmer, you need a solid understanding of digital signal processing theory, proficiency in programming languages like C/C++, and typically a degree in electrical engineering or computer science. Familiarity with DSP development tools, embedded systems, real-time operating systems, and hardware platforms such as TI or Analog Devices DSPs is crucial. Strong problem-solving abilities, attention to detail, and effective teamwork help distinguish top performers in this field. These skills ensure robust, efficient signal processing solutions that meet the technical and performance requirements of diverse applications.

What are some common challenges DSP programmers face when optimizing algorithms for real-time systems?

DSP Programmers often encounter challenges related to ensuring that signal processing algorithms run efficiently within strict time and resource constraints. Real-time systems require low-latency processing, so optimizing code for speed and memory usage is critical. This may involve working with limited hardware resources, fine-tuning algorithms for specific DSP architectures, and debugging timing issues. Collaboration with hardware engineers and system architects is also essential to align software performance with overall system requirements.

What is the difference between Dsp Programmer vs Embedded Software Engineer?

AspectDsp ProgrammerEmbedded Software Engineer
Required CredentialsTypically requires a degree in Electrical Engineering, Computer Science, or related fields; certifications in DSP or embedded systems are a plusSimilar educational background; often holds degrees in Electrical Engineering, Computer Engineering, or Computer Science; certifications in embedded systems are common
Work EnvironmentPrimarily works in labs, R&D centers, or manufacturing settings focused on signal processing and audio/video applicationsWorks in diverse environments including consumer electronics, automotive, aerospace, and industrial systems
Industry UsageCommonly employed in telecommunications, audio processing, and digital signal processing projectsUsed across various industries such as automotive, consumer electronics, and medical devices

While both roles require a strong background in embedded systems and signal processing, Dsp Programmers focus specifically on digital signal processing tasks, whereas Embedded Software Engineers have a broader scope, working on various embedded applications across multiple industries.

Are DSP programmers in demand?

DSP programmers are in demand due to their specialized skills in digital signal processing, which are essential in industries such as telecommunications, audio engineering, and consumer electronics. Employment opportunities often require knowledge of programming languages like C or C++ and experience with DSP hardware and tools. The field is expected to grow as technology advances and the need for efficient signal processing increases.

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Infographic showing various Dsp Programmer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 45% Full Time, 51% Part Time, 2% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $114,661 per year, or $55.1 per hour.

Senior Systems Engineer - Signal Processing, Algorithms and Characterization

Mythic

Austin, TX • On-site

$150K - $275K/yr

Full-time

Re-posted 7 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!