Designs and verifies analog and mixed-signal circuits for AI hardware, from SPICE simulations through top-level algorithm modeling in Python and SystemVerilog. Owns interface specifications, cross-functional co-verification, calibration and test algorithms, and chip-level concerns including EM/IR, ESD, and power distribution. Relevant work includes ADC/DAC, PLL, SERDES, sensing, digital controllers, and high-reliability or automotive systems.
About Us:
Mythic’s platform delivers the power of desktop GPU in a single low-power chip, supporting inference for large deep neural networks. Mythic's technology is based upon an entirely new hybrid digital/analog flash calculation using non-volatile memory arrays which has been under development since 2012. This step change in performance enables a range of new applications in many markets, including safety and security, autonomous vehicles, VR/AR, robotics, and media. Mythic’s AI hardware combines knowledge across many domains, including AI, compilers, computer architecture, analog circuits, and non-volatile memories. Mythic will enable the future of AI by building analog-compute hardware platforms that are 100-1000x more efficient than conventional all-digital systems
About the role:
We are looking for a highly experienced analog and mixed-signal designer who excels working in large complex systems with and enjoys utilizing a broad set of skills. This person will do everything from low-level SPICE simulations to top-level algorithm development in python and SystemVerilog/RNM, all while ensuring interfaces, specifications, and features are clear between multiple teams.
Requirements for the position include:
- Years of experience using the Cadence Virtuoso IC design environment for both analog and mixed-signal design and verification
- Experience modeling circuits in order of preference:
- Real Number Modeling (systemVerilog)
- Python/Numpy
- MATLAB
- Experience tracking and communicating mixed-signal interface requirements/specifications
- Ability to work cross-functional teams with humility
- Excellent communication skills, especially resolving ambiguity
Additional attributes that set you apart:
- ADC/DAC design experience
- multiple architectures a plus
- Some PLL, SERDES, and sensing candidate backgrounds are highly relevant
- Chip-level experience:
- EM/IR
- ESD
- Power distribution modeling
- Experience developing calibration and test algorithms
- Mixed-signal interface experience
- Have designed your own digital controller or at least worked directly with digital engineers and owned the co-verification
- Automotive or other High-Reliability engineering experience
- Cadence tool setup and infrastructure knowledge (reasonable ability to debug)
- Strength in linux (reasonable ability to debug)
Mythic AI Redwood, California, USA Office
333 Twin Dolphin Drive, Ste 300, Redwood, United States, 94065
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Investigates and processes commercial insurance claims, determines policy coverage, assesses damages, establishes reserves, negotiates settlements, prepares estimates, and maintains accurate claim documentation. The role requires direct communication with insureds, claimants, agents, and internal teams, while identifying potential fraud or subrogation opportunities and coordinating with appraisal and investigative units.
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty products and coverages, and converts prospects into policyholders. The role includes paid licensing and sales training, customer relationship management, persuasive selling, and adherence to remote-work requirements. Representatives must work four weekdays and one weekend day, maintain a professional home workspace, and meet specified internet-speed requirements.
Top Skills:
PcWired High-Speed Internet
eCommerce • Legal Tech • Professional Services • Software • Data Privacy
Manage a portfolio of established customer accounts via inbound and outbound calls, uncover upsell and retention opportunities, meet sales and retention targets, monitor purchasing patterns, perform follow-up outreach, and build long-term customer relationships in a metrics-driven environment.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
