Senior Systems Engineer - Signal Processing, Algorithms and Characterization

Mythic · Palo Alto, California; Austin, Texas · Posted 2026-07-02

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

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!

About Mythic

Mythic develops analog matrix processors and key cards based on analog compute-in-memory.