--- title: 'Senior Systems Engineer - Signal Processing, Algorithms and Characterization at Mythic' canonical: 'https://feeny.ai/job/senior-systems-engineer-signal-processing-algorithms-and-characterization-a3td88qqf6fj' type: 'job' last_seen: '2026-09-07' --- # Senior Systems Engineer - Signal Processing, Algorithms and Characterization at Mythic - **Company:** Mythic - **Location:** Austin, TX - **Compensation:** $150k–$275k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-02 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/mythic-ai.com/b6ae0ef0-d6b3-4ab0-9f72-1f822938add1 ## 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 ## About Mythic ## Company Overview - **One-liner**: Mythic is a semiconductor company developing analog compute-in-memory (CIM) processing units that deliver up to 100x greater energy efficiency for AI inference at the edge, in automotive, and in the data center. - **Entity Type**: Private (Series C; total funding $290.4M as of 2021) - **Headquarters**: Austin, Texas, United States (with offices in Silicon Valley, Vancouver, and Bangalore) - **Founded**: 2012 - **Founders**: Mike Henry, Dave Fick, and Laura Fick (co‑founder and Chief Analog Compute Architect) ## Core Business - **Primary industry**: Semiconductor manufacturing – AI hardware accelerators - **Target customers**: B2B – OEMs and system integrators in automotive, defense, robotics, industrial IoT, and enterprise data centers - **Mission statement**: “Enable a new era of AI performance and innovation by making it easier and more affordable to deploy powerful AI solutions, from the data center to the edge device.” ## Products & Services - **Mythic APU (Analog Processing Unit)**: A chip built on analog compute-in-memory architecture that stores AI model weights inside flash memory and performs computation directly at the source, eliminating the energy wasted by moving data between processor and memory. Delivers up to 100x system‑level performance‑per‑watt‑per‑dollar vs. conventional digital/GPU inference. Available today for edge and enterprise deployments. - **Mythic Software Platform**: A unified hardware/software stack that simplifies deploying AI models on the APU, including compilers, runtimes, and model optimization tools. ## Market Standing - **Valuation / Market Cap**: Not disclosed (private company) - **Key Metric**: $14.1M annual revenue (2026 estimate); $290.4M total funding raised across 8 rounds, including a $70M Series C in 2021 led by Hewlett Packard Enterprise and BlackRock, with earlier rounds led by SBVA (SoftBank) and Valor Equity Partners. - **Notable Investors / Partners**: BlackRock, Hewlett Packard Enterprise, Valor Equity Partners, SBVA (SoftBank). The team includes veterans from NVIDIA, ON Semiconductor, and Luminar. - **Growth Signals**: - Headcount grew 46.4% YoY (to ~42 employees as of 2026). - Acquired Videantis (Jan 2026), a German AI processor company whose silicon is already running in 30 million production vehicles, giving Mythic an instant automotive ADAS footprint. - Active job postings for 18 open roles across hardware, software, and corporate functions. - Expanding into India with a VP of Mythic India and a Bangalore office. ## Competitive Advantages - **Analog Compute-in-Memory**: Eliminates the Von Neumann bottleneck by computing in analog directly where data is stored, achieving up to 100x better energy efficiency than traditional digital or GPU inference. - **Automotive‑Grade from Day One**: The Videantis acquisition provides proven, scalable ADAS/AD platforms already deployed in millions of vehicles, with customers like Bosch, Continental, and Valeo. - **Proven Silicon**: Mythic’s APU is operational and available today, not theoretical. - **Deep Talent Pool**: Team includes experts from NVIDIA, ON Semiconductor, Cisco, and leading chip companies, with a strong mix of analog, digital, and AI expertise. ## Strategic Focus - **Scale the Automotive Business**: Leverage the Videantis acquisition to become a major player in automotive ADAS and autonomous driving compute. - **Expand into Defense and Industrial**: Target high‑reliability, low‑power AI applications in defense, robotics, and industrial IoT. - **Data Center Edge**: Deliver efficient inference for enterprise AI workloads that cannot afford the power cost of traditional GPUs. - **Grow Global Team**: Build out software, hardware, and field engineering teams, particularly in India and the U.S. ## Why Work Here - **Impactful Mission**: Work at the frontier of AI hardware, solving the fundamental energy efficiency problem in AI compute. - **Collaborative, Results‑Focused Culture**: Mythic describes itself as a “collaborative, results‑focused team where everyone has a chance to contribute and lead.” - **Rapid Growth**: 46% YoY headcount growth and a recently acquired company signal strong momentum and career growth opportunities. - **Diverse Technical Challenges**: Roles span chip design, compiler engineering, AI algorithms, firmware, and systems engineering. - **Hybrid/Office Policy**: Some roles are listed as hybrid (e.g., Palo Alto, Austin) or fully on‑site; exact policy varies by position. The company has offices in Austin, Silicon Valley, and Vancouver, with a growing presence in Bangalore. - **Notable Perks**: Not explicitly stated, but working at a well‑funded, pre‑IPO startup in the AI hardware space typically offers equity, competitive compensation, and the chance to shape the future of computing. ## Sources 1. [Mythic Official Website](https://www.mythic.ai/) 2. [Mythic Careers Page (Lever)](https://jobs.lever.co/mythic-ai.com) 3. [Mythic Team Page](https://www.mythic.ai/company) 4. [Mythic LinkedIn Company Profile](https://www.linkedin.com/company/mythic-ai) 5. [Mythic Join Us Page](https://mythic.ai/join-us/) ## Other roles at Mythic - [Principal Camera & Sensor Applications Engineer](https://feeny.ai/job/principal-camera-sensor-applications-engineer-mythic-palo-alto-a9nhp5ykhgfs) — Palo Alto, CA - [EDA / CAD Engineer](https://feeny.ai/job/eda-cad-engineer-mythic-austin-qh2yvm2prd5z) — Austin, TX - [Director, IT & DevOps](https://feeny.ai/job/director-it-devops-mythic-palo-alto-0fseadctweac) — Palo Alto, CA - [System Administrator](https://feeny.ai/job/system-administrator-mythic-hannover-59km42a7bh8t) — Hannover, Germany - [Senior NVM Digital Designer](https://feeny.ai/job/senior-nvm-digital-designer-mythic-palo-alto-a7mj1swqer36) — Palo Alto, CA - [Senior Mixed Signal / Memory Circuit Designer](https://feeny.ai/job/senior-mixed-signal-memory-circuit-designer-mythic-palo-alto-4ed9jh7cdyzy) — Palo Alto, CA - [Senior NVM Designer](https://feeny.ai/job/senior-nvm-designer-mythic-palo-alto-s3bjnvzh9evy) — Palo Alto, CA - [Executive Assistant & Office Manager (Bangalore)](https://feeny.ai/job/executive-assistant-office-manager-bangalore-mythic-bengaluru-0nhckgpaxfjh) — Bengaluru, India - [VP, Marketing](https://feeny.ai/job/vp-marketing-mythic-palo-alto-v62apd0f3aw9) — Palo Alto, CA - [VP, Systems Engineering](https://feeny.ai/job/vp-systems-engineering-mythic-palo-alto-q74kcbvb8adp) — Palo Alto, CA