Mythic AI

HQ
Austin
Total Offices: 2
62 Total Employees
Year Founded: 2012

Jobs at Mythic AI

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

10 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
Design, optimize, and verify NVM circuit IP and full-chip simulations for analog compute engines. Develop RNM/functional models (Verilog-A/SystemVerilog/Python), collaborate with validation and backend teams, and support tapeout, silicon debug, and production qualification.
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
Develop and own DSP and algorithm blocks to mitigate analog impairments for analog compute-in-memory: calibration, non-linearity compensation, offset correction, and error estimation. Build Python frameworks and firmware, improve simulation fidelity, correlate silicon and simulation errors, and lead silicon bring-up, characterization, and productization with cross-functional teams.
24 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
Develop and verify designs for AI processors, focusing on system-level verification, testbench development, and collaboration with RTL designers.
24 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
Design Verification Engineers will develop and verify designs for AI processors, collaborating across teams to ensure functionality through rigorous testing and innovative strategies.
24 Days AgoSaved
Hybrid
Austin, TX, USA
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
The Senior Staff Systems Design Engineer will lead the design and development of hardware platforms, ensuring integration between silicon and system design while managing complex PCB designs and collaborating with manufacturing partners.
24 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
The RTL Design Engineer will design and implement components for next-gen AI processors, collaborate on microarchitecture, and drive timing closure, optimizing for performance and power efficiency.
24 Days AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
Architect and build MLIR ecosystems, extending dialects while ensuring conversion paths. Collaborate with hardware engineers to integrate with PyTorch and modern frameworks.
24 Days AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
Develop the next generation AI compiler for Mythic's analog compute, optimizing for dataflow architectures and collaborating with hardware engineers.
24 Days AgoSaved
In-Office
Austin, TX, USA
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
Manage complex executive calendars, coordinate travel, handle communications, oversee daily office logistics, and support technology needs.
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
The role involves verifying mixed-signal and digital systems, creating RNMs, ensuring interface clarity, and contributing to methodologies across teams.
24 Days AgoSaved
Hybrid
Austin, TX, USA
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
Develop and maintain emulation platforms for AI-centric SoCs, integrate RTL, support firmware bring-up, debug co-design issues, and analyze AI workload performance.
24 Days AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
The Compiler Engineer will design compiler IRs and strategies for complex algorithmic workloads, collaborating with hardware engineers to enhance ISA and execution models, ensuring performance and correctness, while simplifying developer experiences.
24 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
The Senior RTL Design Engineer will design and implement components for next-generation AI processors, collaborating with various engineering teams to ensure performance and correctness while focusing on low-power, high-performance designs.