Full-Time

ASIC/SOC Micro-Architect and RTL Design Engineer

Posted on 7/21/2025

MatX

MatX

51-200 employees

Designs high-throughput AI hardware chips

Compensation Overview

$120k - $400k/yr

+ Equity

Mountain View, CA, USA

Hybrid

Must be in Mountain View, CA; hybrid role requiring 3 in-office days (Tue-Thu).

Category
Electrical Engineering (1)
Required Skills
Verilog
Python
C/C++
Requirements
  • Concept-to-silicon experience in driving silicon design for subsystems and/or top-level functions with ASICs and System-on-Chip devices from an architecture specification to production silicon
  • Experience with SystemVerilog, Python, C/C++, Bluespec and similar scripting and programming languages for chip design and related flows
  • Production-proven experience on silicon micro-architecture and design concepts used in high-performance compute (central processing units, graphics processing units, accelerators), high-speed connectivity, memory management and related functionalities
  • Experience with testing your designs and working closely with verification teams towards performance and coverage closure goals
  • Hands-on experience with design synthesis, equivalence checking, design lint, clock-domain-crossing and related flows to take designs to high quality sign-off
  • Experience on design-for-test and physical design concepts and methodologies to achieve high test coverage and best-in-class timing, power and area for designs working with experts in these areas to take designs to sign-off
  • Familiarity with verification, emulation platforms and methodologies is a plus
  • Hands-on experience with participation in silicon debug and bring-up is a plus
  • This is a hybrid role that will require you to work from our Mountain View, CA office 3 days a week on Tuesday through Thursday
Responsibilities
  • Contribute to MatX’s silicon architecture-to-design methodology with a scalable solution across blocks, subsystems, fullchip design
  • Own entire subsystem or subsets and/or chip-level silicon design deliverables from micro-architecture to sign-off ready design
  • Plan and drive intermediate and sign-off reviews on micro-architecture and design specifications, execution progress, area and timing closure towards various silicon milestones including design freeze and tapeout
  • Work closely with the verification, DFT, and physical design co-owners of the subsystem/block in question and deliver best-in-class performance-power-area results
Desired Qualifications
  • A huge plus if you have hands-on experience with silicon and firmware implementations for hardware security features including: Root of Trust (RoT), secure boot, lifecycle state machines, Key management, TRNG interfaces, Secure debug, secure firmware update paths, Access control, memory protection

MatX builds high-throughput AI accelerators for large language models. Its main product is a dedicated chip where every transistor is optimized for running large neural networks, aiming to deliver strong performance for training and inference of LLMs. The company also develops the surrounding software stack, including compilers, to make the hardware easy to program for ML engineers (e.g., through JAX-based workflows). Unlike general-purpose processors, MatX focuses on specialization and full-stack optimization from silicon to software. Its goal is to enable organizations with substantial AI workloads to scale efficiently by providing powerful, purpose-built hardware and the compatible software tools they need to deploy and optimize large models.

Company Size

51-200

Company Stage

Series B

Total Funding

$604.9M

Headquarters

Mountain View, California

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • Founders Reiner Pope and Mike Gunter leverage Google TPU expertise for 10x performance.
  • $500M Series B from Jane Street and Situational Awareness funds TSMC manufacturing.
  • Highest FLOPS/mm² supports clusters of hundreds of thousands of chips scaling.

What critics are saying

  • Nvidia's Rubin platform launches late 2026 with NVLink and CUDA ecosystem lock-in.
  • TSMC prioritizes Nvidia, delaying MatX's 2027 shipments by 6-12 months.
  • Etched ships transformer chips first at $5B valuation, capturing AI labs.

What makes MatX unique

  • MatX designs chips dedicating every transistor to LLM workloads unlike general-purpose GPUs.
  • MatX One combines SRAM for low-latency weights and HBM for long-context KVs.
  • Splittable systolic array optimizes energy efficiency on large and small matrices.

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Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

-2%

2 year growth

-2%
The Tech Buzz
Mar 2nd, 2026
MatX Raises $500 Million to Build AI Training Chips

MatX raises $500 million to build AI training chips. The companu is building custom AI processors for training LLMs faster and more efficiently PUBLISHED: Mon, Mar 2, 2026, 11:14 AM UTC | UPDATED: Sat, Mar 7, 2026, 4:40 AM UTC 2 mins read Photo: Bloomberg * | MatX raised $500M in Series B funding to build custom AI processors optimized for large language model training and inference * | The company is designing specialized AI chips targeting roughly 10x better performance than current leading GPUs by optimizing hardware for matrix math and parallel AI workloads * | Founded by former Google TPU engineers, MatX plans to manufacture chips via TSMC with commercial shipping targeted for 2027 MatX has raised $500 million in Series B funding, led by Jane Street and Situational Awareness, a fund created by former Leopold Aschenbrenner. The startup is building custom AI processors designed specifically for training large language models faster and more efficiently than general-purpose GPUs. MatX's core ambition is aggressive: make its chips roughly 10x better at LLM training performance and inference efficiency compared to current leading hardware. The company is part of a broader shift in AI infrastructure, where specialized chips are becoming as important as models themselves. Instead of relying on general-purpose computing hardware, MatX is designing silicon optimized for matrix math, parallel AI workloads, and long-context model training. In practice, that means tailoring chip architecture, memory access patterns, and data movement efficiency specifically for AI workloads rather than traditional computing tasks. MatX was founded in 2023 by former Google TPU engineers. CEO Reiner Pope previously led AI software development for Google's Tensor Processing Units, while co-founder Mike Gunter helped design TPU hardware. Their experience shows in the company's approach: vertically integrating hardware and AI workload optimization rather than treating chips as generic computing components. The new capital will be used to manufacture chips through TSMC, with production and commercial shipping targeted for 2027. MatX is entering a highly competitive AI chip race against other startups and incumbents building alternatives to GPUs, as demand for AI training compute continues to outpace supply. More Topics:

TechCrunch
Feb 25th, 2026
Nvidia challenger AI chip startup MatX raised $500M | TechCrunch

The startup was founded by former Google TPU engineers in 2023.

Pixegias
Feb 25th, 2026
Nvidia challenger AI chip startup MatX raised $500M

Nvidia challenger AI chip startup MatX raised $500M. February 25, 2026 MatX, a chip startup founded by two former Google hardware engineers, has raised a $500 million Series B led by Jane Street and Situational Awareness, an investment fund formed by former OpenAI researcher Leopold Aschenbrenner. The company's goal is to make its processors 10 times better at training LLMs and delivering results than Nvidia's GPUs. Other investors in the round include Marvell Technology, NFDG, Spark Capital, and Stripe co-founders Patrick Collison and John Collison, the startup's founder and CEO Reiner Pope announced Tuesday in a post on LinkedIn. Although the company didn't release its latest valuation, Etched, MatX's closest competitor, raised a $500 million round at a $5 billion valuation, Bloomberg reported last month. Etched didn't immediately respond to a request for comment. MatX's latest round comes more than a year after its Series A of about $100 million, which was led by Spark Capital. TechCrunch earlier reported that the 2024 round valued the startup at more than $300 million. Before co-founding MatX in 2023, Pope led AI software development for Google's TPUs, the tech giant's proprietary AI chips. His co-founder, Mike Gunter, was a lead designer of the TPU hardware before leaving to launch the startup. The new funding will help MatX produce its chips with TSMC, with plans to start shipping them in 2027. Techcrunch event Boston, MA | June 9, 2026 #Nvidia #challenger #chip #startup #MatX #raised #500M February 25, 2026 Keep up to date with the most important news. Add a comment Add a comment Apple's new age verification instruments block underage app downloads the place required by legislation. Marking 4 years of struggle in ukraine with highly effective music and movies. February 25, 2026

Tech in Asia
Feb 24th, 2026
US AI chip startup MatX raises $500m to compete with Nvidia

US AI chip startup MatX raises $500m to compete with Nvidia. United States-based AI chip startup MatX has raised over US$500 million in a funding round led by Jane Street and Situational Awareness, a firm founded by ex-OpenAI researcher Leopold Aschenbrenner. The company, founded by former Google semiconductor engineers Reiner Pope and Mike Gunter, aims to develop hardware to compete with Nvidia in the AI chip market. MatX plans to finalize its chip design this year and begin shipping in 2027, working with Taiwan Semiconductor Manufacturing Co. (TSMC) to produce the hardware. The startup claims its chip can outperform Nvidia's upcoming Rubin Ultra based on performance per square millimeter, targeting AI training and inference workloads. Food for thought. Implications, context, and why it matters. ### MatX bets on a 'post-ChatGPT' design backed by an AGI-driven investment thesis * MatX started after massive transformer models (a type of AI model architecture behind many large language models) took off, so it calls itself a 'post-ChatGPT' company 1. * Its chip design can be shaped around large language model workloads, which may sidestep the memory capacity limits that have hit SRAM-only designs (chips that rely primarily on static random-access memory, a fast but typically lower-capacity type of memory) 1. * Situational Awareness invested in MatX. The firm was founded by former OpenAI researcher Leopold Aschenbrenner and it now manages more than $1.5 billion 2. * Aschenbrenner's fund argues that artificial general intelligence (AGI) is close, described as "in a couple of years" in Fortune's reporting. It targets the AI supply chain, including semiconductors, infrastructure, and power companies 2. ### A 2027 launch pits MatX against Nvidia's platform ecosystem, not just a chip * MatX plans to ship in 2027, so it will face NVIDIA's newer system platforms rather than today's hardware. * NVIDIA said Rubin-based products will be available from partners in the second half of 2026 3. * Beating a single chip on silicon area misses what matters, since NVIDIA wins through system-level integration. * NVIDIA pairs the GPU with its Vera CPU, NVLink 6 interconnect, and a mature software stack. That package frames Rubin as an integrated "AI factory" that startups struggle to match 4. * MatX may also need Taiwan Semiconductor Manufacturing Co.'s (TSMC's) scarce advanced packaging capacity, since advanced process and packaging capacity has become a strategic bottleneck in the industry 5. How would you feel if you could no longer use Tech in Asia? Share, tag us, and land on our Wall of!

Bloomberg Law
Feb 24th, 2026
MatX raises $500M to take on Nvidia with AI chips developed by ex-Google engineers

MatX, an AI chip startup founded by two Google semiconductor alumni, has raised over $500 million in a new funding round to compete with Nvidia. The company is now valued at several billion dollars. The financing was led by Jane Street and Situational Awareness, the investment firm founded by former OpenAI researcher Leopold Aschenbrenner. Other backers include Marvell Technology, venture firms NFDG and Spark Capital, and Stripe co-founders Patrick and John Collison. MatX joins a growing number of startups developing AI chip hardware to challenge Nvidia's dominance in the market. The company was founded by former members of Google's semiconductor business.

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