Senior Digital Verification Engineer
Mythic · On-site
MeritLog read this listing from Mythic's Lever job board and last checked it on September 11, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Bangalore
Hiring context
How this role compares at Mythic
Mythic has 32 live roles in MeritLog’s catalog across 6 job families, and 25 of them are in engineering. 18 of those listings publish a pay range, a disclosure rate of 56%.
Mythic concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
About us: Mythic has developed a unified hardware and software platform featuring its unique Mythic Analog Compute Engine (Mythic ACE™) to deliver revolutionary power, cost, and performance that shatters digital barriers preventing AI innovation at the edge. The Mythic Analog Matrix Processor (Mythic AMP™) makes it much easier and more affordable to deploy powerful AI solutions, from the data center to the edge device. The company has raised a fresh round of funding, and has offices in Palo Alto, CA, and Austin, TX. About the role: At Mythic, our Design Verification (DV) team is central to ensuring the correctness and reliability of our novel digital dataflow architecture, which includes a sophisticated scheduling subsystem, high-performance interconnect fabric, and advanced DMA engines that work together with our Analog Compute Engines to accelerate AI workloads. DV engineers collaborate closely with RTL design, architecture modeling, custom analog IP, compiler, emulation, and post-silicon teams to ensure the full system operates as intended. Because today’s AI workloads are too large and intricate to be fully verified in hardware alone, our team takes creative and rigorous approaches-combining simulation, modeling, and innovative verification strategies-to prove that neural networks will function correctly and efficiently. We welcome engineers at all levels of experience who are eager to tackle challenging verification problems and contribute to the success of our breakthrough AI hardware.