The role involves verifying mixed-signal and digital systems, creating RNMs, ensuring interface clarity, and contributing to methodologies across teams.
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 an experienced digital and mixed-signal verification engineer who excels working in large complex systems with and enjoys utilizing a broad set of skills. This person will do everything from RNM creation to verifying top-level algorithms, all while ensuring interfaces, specifications, and features are clear between multiple teams. This role is largely responsible for ensuring Mythic's analog compute core can be accurately and thoroughly verified by the digital and mixed-signal verification flow, and is expected to contribute to methodology.
Required experience includes:
- Significant experience with verification of RNMs in mixed-signal / SoC verification
- Extensive digital verification background
- UVM expertise
- Verification (and ownership a plus) of RTL for mixed-signal controllers and FSMs (for Data Converters, PLLs, Power Converters, etc.)
- Experience tracking and communicating mixed-signal interface requirements/specifications
- Ability to work cross-functional teams with humility
- Excellent communication skills, especially resolving ambiguity
Bonus attributes:
- Project leadership experience
- Experience in Virtuoso
- Cadence tool setup and infrastructure knowledge (reasonable ability to debug)
- Strength in linux (reasonable ability to debug)
Mythic AI Austin, Texas, USA Office
Austin, TX, United States
Similar Jobs
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead daily Surface Mount Assembly production, set targets, monitor productivity and quality, collaborate with Warehouse/Maintenance/Engineering/Quality, enforce 5S and safety, coach and develop operators, manage hiring and training, drive continuous improvement and audit readiness, and support shop-floor automation.
Top Skills:
5S MethodologiesExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordShop Floor AutomationSma Equipment
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
The Electronic Engineer will support troubleshooting and repair of 5G radios, mentor technicians, analyze defects, and implement process improvements.
Top Skills:
5GBoard-Level DesignElectronic TroubleshootingPythonRfSQL
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead Trainer develops and delivers onboarding and ongoing training for Smart Factory production staff, manages LMS records, evaluates competency, supports trainer development, enforces ISO and safety compliance, and partners with operations to build development plans and readiness targets.
Top Skills:
Learning Management System (Lms)MS Office
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

