To succeed as a Senior Systems Engineer at Mythic, you must possess strong expertise in mitigating analog impairments within complex hardware systems. The role requires advanced knowledge in signal processing, specifically addressing challenges like ADC/DAC non-linearity and weight-noise that affect analog vector-multiply operations. Candidates should demonstrate proficiency in domains analogous to high-speed digital communication and RF sensing, such as Wi-Fi, SerDes, and gigabit Ethernet design. A deep understanding of system-level modeling, characterization, and algorithmic mitigation techniques is essential. Ultimately, the role demands the ability to bridge analog and digital domains to ensure high-accuracy compute performance, making experience in baseband or sensor signal processing a critical asset for optimizing Mythic’s unique analog-compute architecture.

Based on the job description, Mythic specializes in analog compute hardware where precision in vector-product operations is critical. To mitigate analog impairments such as ADC/DAC non-linearity and weight-noise, the Systems Engineer role relies on expertise analogous to RF baseband, high-speed digital communication, and sensor signal processing.

While the specific software names (e.g., MATLAB, Simulink, Cadence, or Python-based modeling) are not explicitly listed in the provided text, the position requires deep proficiency in modeling system-level effects. Successful candidates will utilize simulation tools to characterize cascaded analog and digital stages, ensuring robust performance across diverse environmental conditions. We encourage applicants to highlight their experience with industry-standard signal processing and hardware-modeling environments during the interview process.

The industry is addressing signal integrity at the edge by developing advanced mitigation techniques to counteract analog impairments, such as ADC/DAC non-linearity and weight-noise, which directly impact computational accuracy. Companies like Mythic are leveraging expertise traditionally found in RF baseband, high-speed digital communication, and sensor signal processing—fields like Wi-Fi, SerDes, and gigabit Ethernet—to optimize performance in challenging environments. By integrating complex analog and digital components on a single chip, engineers can implement precise calibration and error-correction strategies. These innovations allow sophisticated AI models to run reliably in edge devices like drones and robotics, ensuring high performance across extreme temperature ranges, from –40 °C to +125 °C.

Analog impairments are critical to Mythic’s roadmap because their AI compute hardware utilizes analog-domain vector-product operations. Consequently, inherent physical limitations—specifically ADC/DAC non-linearity and weight-noise—directly degrade the accuracy of these fundamental computations. Because Mythic’s technology relies on massive integration of cascaded analog and digital stages, mitigating these impairments is essential to achieving performance goals. The Systems Engineering team is tasked with developing sophisticated compensation techniques, drawing on expertise from RF baseband design, SerDes, and high-speed communication systems. Addressing these analog challenges is vital to ensuring that Mythic’s analog-compute chips maintain the precision required for complex AI models in industrial, automotive, and aerospace applications.

At Mythic, we bridge the gap between analog innovation and digital requirements by treating our hardware as a high-precision signal processing system. Our team manages the inherent analog impairments—such as ADC/DAC non-linearity and weight-noise—that directly affect our vector-multiply operations. We apply rigorous engineering techniques similar to those used in RF baseband, SerDes, and high-speed digital communications to characterize and mitigate these hardware-level behaviors. By leveraging advanced algorithms and signal processing, we ensure that our analog compute performance meets the stringent accuracy demands of modern AI models. This cross-disciplinary approach allows us to integrate breakthrough analog technology while maintaining the reliable, high-performance functionality expected in digital-centric data center and edge environments.