> Markdown version of [/jobs/ext/2651373-asic-engineer-architecture](https://www.wearedevelopers.com/jobs/ext/2651373-asic-engineer-architecture). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# ASIC Engineer, Architecture

- **Company:** The Meta Game, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $114,000.0 - $172,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Assembly Language, C++ (Programming Language), Nvidia CUDA, Computer Engineering, Data Centers, Digital Technology, Firmware, Hardware Description Language, Python (Programming Language), Machine Learning, Regression Testing, Software Engineering, SystemC, SystemVerilog, VHSIC Hardware Description Language (VHDL), High Performance Computing, Application Specific Integrated Circuits, Delivery Pipeline, Gpu Programming, Information Technology, Low Latency, Physical Design
- **Published:** August 15, 2026
- **Apply:** https://www.austinjobsite.com/job.asp?id=3354577888&tx=TT4542TYD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

1. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
 2. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 3. 2+ years of experience in ASIC design, silicon engineering, or a related technical field
 4. Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools
 5. Experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs
 6. Experience with the performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon
 7. Experience developing cycle-accurate or transaction-level performance models using C++ and SystemC for complex digital systems, including processors, memory subsystems, or high-speed interconnects
 8. Experience defining microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams
 9. Experience with assembly programming languages, and with compiler technologies, 1. Experience developing Python-based automation pipelines for simulation orchestration, regression testing, and performance data analysis
 2. Experience writing and optimizing compute/collective kernels in CUDA or equivalent GPU programming frameworks
 3. Familiarity with post-silicon performance validation and model-to-hardware correlation methodologies
 4. Experience with AI numerics, data types, math functions, and precision/accuracy analysis
 5. Experience with high-level synthesis, power-performance-area trade-off analysis, or PPA-driven microarchitectural optimization
 6. Experience building or scaling performance modeling infrastructure for hyperscale data center ASICs, including network, storage, or AI inference accelerator designs
 7. Experience with hardware description languages (e.g., SystemVerilog, VHDL) and simulation environments used in ASIC development flows

## Description

Meta's Silicon Engineering organization is building custom silicon solutions that power the infrastructure underpinning Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture, performance and modeling, you will define and drive the architectural performance analysis, pre-silicon modeling, and microarchitectural exploration of custom ASICs designed for Meta's infrastructure. In this role, you will establish functional and performance modeling methodologies and long-term silicon roadmap strategy, as well as develop and analyze workloads, partnering with architecture, design, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale., 1. Drive microarchitectural exploration and trade-off analysis across compute, memory subsystem, interconnect, and I/O domains to inform silicon architecture decisions

 2. Define and own the performance modeling strategy for custom infrastructure ASICs, including development of cycle-accurate and transaction-level simulation environments
 3. Develop and maintain C++ models of AI chip IPs and subsystems for architecture exploration, performance analysis, and software development
 4. Develop low-level workloads and kernels for machine learning training and inference applications
 5. Establish performance analysis methodologies, benchmarking frameworks, and bottleneck identification techniques across the full ASIC pipeline
 6. Collaborate with architecture, RTL design, and physical design teams to translate performance requirements into implementable microarchitectural specifications
 7. Partner with software and systems teams to co-optimize workload scheduling, firmware, and driver behavior against silicon performance characteristics
 8. Lead cross-functional technical reviews and communicate performance modeling results and architectural recommendations to engineering leadership
 9. Define long-term performance modeling infrastructure roadmaps, including tooling, automation, and simulation platform investments
 10. Mentor other engineers on performance modeling techniques, simulation methodology, and microarchitectural analysis best practices
 11. Identify and resolve performance gaps between modeled and measured silicon behavior through structured root-cause analysis and model calibration


## Related Videos

- [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia)
- [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load)
- [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine)
- [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk)
- [Unleash the power of 5G in your code: transform your apps](https://www.wearedevelopers.com/videos/1567-unleash-the-power-of-5g-in-your-code-transform-your-apps)
- [Agent Smith Gets Hardware: Autonomous IoT Hacking From Debug Port to Cloud API](https://www.wearedevelopers.com/videos/100258-agent-smith-gets-hardware-autonomous-iot-hacking-from-debug-port-to-cloud-api)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)