---
title: 'Sr DFT Engineer at Mythic'
canonical: 'https://feeny.ai/job/sr-dft-engineer-mythic-bengaluru-ae6zsf6ya8t0'
type: 'job'
last_seen: '2026-09-07'
---

# Sr DFT Engineer at Mythic

- **Company:** Mythic
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-02-27
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/mythic-ai.com/5a5aff34-c322-4bc9-abb7-f0fdda3f728e

## 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. Mythic's unique technology makes it much easier and more affordable to deploy powerful AI solutions, from the data center to the edge device. The company has raised over USD 125M in a recent funding round and has offices in Palo Alto (CA, USA), Austin (TX, USA), and Bangalore (Karnataka, India).

About This Role: Mythic is a fast-paced startup looking for individuals that enjoy wide-reaching and flexible roles. The primary responsibility for this position is implementaiton of DFT features on Mythic's chips.

You will be the working on all aspects of DFT for sub-system-level blocks which form the SoC. You will need to contribute, and ideally, have ownership of all the aspects of DFT such as MBIST, IJTAG, Scan and ATPG . You will contribute to the methodology development to establish flow for all DFT features and enable first-pass success of these chips. You are expected to be involved and contribute to every phase of the design cycle from Concept to Silicon.

Beyond DFT for our novel chip architecture, this role also presents a unique opportunity to get involved with and learn more about state-of-the-art deep neural networks (DNNs). You will also be collaborating with the RTL design , Physical design, STA and analog design teams at Mythic.

Here is what you will do:

- BS/MS/PhD in EE/ECE
- At least 3+ years of industry experience
- Understanding of Design for Test methodologies and DFT experience (e.g. JTAG 1149.x, IEEE 1500, IEEE 1687 iJTAG, Scan, ATPG, Memory BIST)
- Experience with SoC Level DFT Integration, Verification and RTL design for DFT
- Experience with DFT strategies like Scan insertion, TPI, SSN, Hierarchical DFT and ATPG
- Pre-Silicon test planning & verification strategy
- Knowledge & experience of low power concepts, clock gating, power gating is a plus
- Adept at root cause analysis and resolving DFT implementation issues
- Must have good communication skills and the ability to work in a worldwide team environment
- A past experience of working on an AI processor design is a huge plus

Here is the background we hope you have:

- Experience working at startups
- Knowledge of Low power DFT solutions
- Experience of working with STA team to define DFT timing constraints
- Working with ATE (Automatic Test Equipment) for bring-up, debugging, and yield improvement
- Proficiency in Synopsys (TetraMAX/DFT Compiler) or Siemens/Mentor (Tessent) tools, Verilog/SystemVerilog
- Good script skills including Perl, Tcl, Python, etc.

The following would be nice to have, but is not required:

- Knowledge of chiplet-based design limitations and their impact on physical design.
- Experience in Sub-10nm designs
- Familiarity and hands-on experience with Cadence toolsets.

## 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/)

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