{"schemaVersion":"jobsearcher.job.v1","id":"22cd9cfda58053fc6304d63c","url":"https://jobsearcher.com/jobs/22cd9cfda58053fc6304d63c","canonicalUrl":"https://jobsearcher.com/jobs/22cd9cfda58053fc6304d63c","title":"Senior Systems Engineer - Signal Processing, Algorithms and Characterization","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.\n\nMythic'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.\n\nThe Systems Engineering team\n\nSits at the intersection of Analog, AI, Firmware and Silicon Productization\n\nModels analog effects and their impact on neural network performance\n\nDevelops signal-processing based solutions to mitigate impact of analog impairments on neural network accuracy\n\nWorks cross-functionally to validate, debug, and optimize analog compute hardware\n\nContributes to the design of next-generation hardware\n\nBrings up new silicon, characterizes silicon performance and develops effective approaches for silicon screening\n\nBuilds frameworks for large-scale data capture and statistical error analysis for analog compute in the simulation domain and on actual silicon hardware\n\nHere’s what you will do\n\nOwn 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.\n\nWork with model-training, compiler and firmware teams to productize these algorithms\n\nWrite and modify firmware as needed to productize/debug algorithms\n\nContinually improve on the fidelity of our modeling and simulation environment to better predict silicon performance\n\nCorrelate errors seen on silicon to simulation models and contribute to improving the fidelity of our models for analog compute\n\nDevelop Python frameworks for data collection, error-analysis and quantify impact of analog impairments on neural-network accuracy\n\nSilicon bring-up, Characterization and Performance-Optimization\n\nHere’s the background you need to have\n\nBachelor's degree in Electrical Engineering, Computer Engineering, Mathematics, Physics or a related field\n\nAt least 5 years experience in production DSP or RF baseband engineering ( Strong familiarity with production Python coding, including object oriented and/or functional programming\n\nStrong familiarity with core DSP concepts, including frequency domain analysis, filtering, statistical signal processing and estimation theory\n\nTrack record of shipping silicon with DSP or RF/Analog sub-systems\n\nUnderstanding of linear algebra concepts, including matrix math and linear regression\n\nComfort with large-scale collection and processing of signals\n\nCommitment to quality and engineering excellence\n\nStrong communication skills\n\nThe following would be nice to have\n\nMS/PhD in Electrical Engineering, Computer Science, Mathematics, Physics or related field\n\nExperience with RF calibration and silicon-bringup in the high-speed communication space\n\nStrong familiarity with NumPy/SciPy (or experience with Numpy and strong familiarity with MATLAB for DSP)\n\nFamiliarity with state-of-the-art neural network architectures\n\nAt 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.\n\nMythic 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.\n\nWe look forward to reviewing your application!\n\n#J-18808-Ljbffr","company":"Future Ventures","rawCompany":"future ventures","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-10T03:25:11.099Z","occupations":[{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"334419","title":"Other Electronic Component Manufacturing","slug":"other-electronic-component-manufacturing"},{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"},{"code":"334511","title":"Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing","slug":"search-detection-navigation-guidance-aeronautical-and-nautical-system-and-instrument-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Systems Engineer - Signal Processing, Algorithms and Characterization","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.\n\nMythic'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.\n\nThe Systems Engineering team\n\nSits at the intersection of Analog, AI, Firmware and Silicon Productization\n\nModels analog effects and their impact on neural network performance\n\nDevelops signal-processing based solutions to mitigate impact of analog impairments on neural network accuracy\n\nWorks cross-functionally to validate, debug, and optimize analog compute hardware\n\nContributes to the design of next-generation hardware\n\nBrings up new silicon, characterizes silicon performance and develops effective approaches for silicon screening\n\nBuilds frameworks for large-scale data capture and statistical error analysis for analog compute in the simulation domain and on actual silicon hardware\n\nHere’s what you will do\n\nOwn 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.\n\nWork with model-training, compiler and firmware teams to productize these algorithms\n\nWrite and modify firmware as needed to productize/debug algorithms\n\nContinually improve on the fidelity of our modeling and simulation environment to better predict silicon performance\n\nCorrelate errors seen on silicon to simulation models and contribute to improving the fidelity of our models for analog compute\n\nDevelop Python frameworks for data collection, error-analysis and quantify impact of analog impairments on neural-network accuracy\n\nSilicon bring-up, Characterization and Performance-Optimization\n\nHere’s the background you need to have\n\nBachelor's degree in Electrical Engineering, Computer Engineering, Mathematics, Physics or a related field\n\nAt least 5 years experience in production DSP or RF baseband engineering ( Strong familiarity with production Python coding, including object oriented and/or functional programming\n\nStrong familiarity with core DSP concepts, including frequency domain analysis, filtering, statistical signal processing and estimation theory\n\nTrack record of shipping silicon with DSP or RF/Analog sub-systems\n\nUnderstanding of linear algebra concepts, including matrix math and linear regression\n\nComfort with large-scale collection and processing of signals\n\nCommitment to quality and engineering excellence\n\nStrong communication skills\n\nThe following would be nice to have\n\nMS/PhD in Electrical Engineering, Computer Science, Mathematics, Physics or related field\n\nExperience with RF calibration and silicon-bringup in the high-speed communication space\n\nStrong familiarity with NumPy/SciPy (or experience with Numpy and strong familiarity with MATLAB for DSP)\n\nFamiliarity with state-of-the-art neural network architectures\n\nAt 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.\n\nMythic 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.\n\nWe look forward to reviewing your application!\n\n#J-18808-Ljbffr","datePosted":"2026-07-10T03:25:11.099Z","dateModified":"2026-07-10T03:25:11.099Z","hiringOrganization":{"@type":"Organization","name":"Future Ventures","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"22cd9cfda58053fc6304d63c"},"url":"https://jobsearcher.com/jobs/22cd9cfda58053fc6304d63c"}}