---
title: 'Lead RTL Design Engineer at Efficient Computer'
canonical: 'https://feeny.ai/job/lead-rtl-design-engineer-efficient-computer-san-francisco-bay-area-or-xqx9rkh5k5jc'
type: 'job'
last_seen: '2026-10-15'
---

# Lead RTL Design Engineer at Efficient Computer

- **Company:** Efficient Computer
- **Location:** San Francisco Bay Area OR Pittsburgh PA OR Austin, TX
- **Posted:** 2026-04-30
- **Last confirmed live:** 2026-10-15
- **Apply:** https://job-boards.greenhouse.io/efficientcomputer/jobs/4236891009

## Job description

Efficient Computer is rethinking computing from the ground up to solve one of AI's biggest challenges: energy. Our Fabric architecture delivers a 10–100x improvement in energy efficiency for general-purpose computation, including AI, while supporting familiar programming languages and software frameworks—unlocking new possibilities for autonomous machines, intelligent infrastructure, wearables, and space systems. With our first processor, Electron E1, now shipping in volume and more than $97 million in Series B financing recently announced, we're accelerating customer deployments and scaling our architecture to data center performance. Join us to build the hardware and software that bring intelligence wherever it's needed and help shape the next generation of computing.

We are looking for a Lead RTL Design Engineer to own microarchitecture definition and RTL implementation across the dataflow execution fabric, memory subsystem, on-chip interconnect/NoC, low-power logic, and standard peripheral IP (RiscV, NVM, I2S, I2C) integration. You will work from architecture spec through synthesis-ready RTL, collaborating with architects, microarchitects, DV leads, physical design, and firmware teams to tape out an industry leading power-efficient SoC.

This is a unique opportunity to be a part of a newly formed HW engineering org and have an influence on our products and processes as we move from the initial stages of product development to market release and scaled volume production.  Join our team and help us shape the future of computing at the edge and beyond!

## Key Responsibilities

- Microarchitecture definition (core focus): Own the design and definition of processor and compute-unit microarchitecture, including dataflow pipelines, execution units, and interfaces. Set performance, power, and area targets, and guide the team toward achieving them.
- On-chip interconnects and system integration: Define and drive the design of on-chip networks and data movement across the fabric, balancing performance, scalability, and implementation constraints in collaboration with physical design.
- Memory subsystem & system architecture: Define the interface to the memory subsystem, including data movement, ordering, and synchronization behavior, ensuring a clean and scalable model for software and future system expansion.
- Reconfiguration and execution model: Lead the architecture of configuration, scheduling, and execution of workloads on the fabric, including multi-kernel support and interaction with host systems.
- Power management and low-power design: Drive power architecture across the design, including clocking, reset, power domains, and low-power strategies to meet aggressive energy and efficiency goals.
- HW/SW co-design: Collaborate closely with compiler and software teams to define the hardware execution model, ensuring efficient mapping of workloads onto the architecture.

Specifications, Documentations and Reviews: Author and own uArch specification documents for assigned blocks; drive design reviews with architecture, compiler, DV, and physical design stakeholders.

- Mentoring and process improvement: Mentor senior and junior RTL engineers; review RTL, flag microarchitecture risks, and enforce coding style and lint-clean standards across the team.
- Driving PPA Metrics: Participate in PPA analysis loops: synthesize blocks regularly, review area/timing/power reports, and make data-driven tradeoffs against performance and feature requirements.
- DV Collaboration: Collaborate with DV leads to define/review verification plans; provide directed test scenarios for graph execution corner cases, back-pressure conditions, and power state transitions.
- Silicon Bring-up: Support silicon bring-up: contribute scan/ATPG guidelines, review DFT insertion, and provide RTL-level debug assistance during lab validation.

Required Qualifications & Experience

- 8+ years of RTL design experience with tape-out ownership of dataflow based design, on chip networks, memory subsystems  or peripheral integration on a processor or accelerator SoC.
- Deep proficiency in SystemVerilog for RTL — synthesis-clean, lint-clean, timing-aware; able to design complex state machines, arbiters, token flow controllers, and datapath logic from scratch.
- Solid understanding of parallel execution models: dataflow, SIMD, or systolic array architectures; familiarity with the hardware challenges of token-based firing-rule evaluation and producer-consumer synchronization.
- Hands-on experience with on-chip memory design: SRAM wrappers, scratchpad/TCM, banking, and memory-mapped register interfaces.
- Experience with low-power RTL techniques: UPF-driven flows, clock gating, power domains, retention registers, and AON wakeup logic.
- Familiarity with at least one standard on-chip bus protocol (AXI, AHB, APB, TileLink, or NoC equivalent) at the RTL implementation level.
- Experience taking RTL through synthesis and timing closure; ability to read and act on SDC constraints, STA reports, and synthesis QoR summaries.
- Strong written communication skills; able to produce uArch specs and design review material independently.
- Experience with memory compiler toolchains

Desired Qualifications & Experience Requirements

- Prior RTL ownership of a dataflow engine, neural processing unit (NPU), or streaming DSP architecture with explicit producer-consumer token management.
- Experience collaborating with compiler or graph-optimization teams to co-design hardware execution models and graph IR representations.
- Familiarity with NVM controller RTL (MRAM, RRAM) including ECC, program/erase sequencing, and model weight storage use cases.
- Experience with IoT-class power budgets (sub-10 mW active, sub-100 µW standby) and the RTL design choices they necessitate.
- Familiarity with functional safety standards (ISO 26262, IEC 61508) as applied to execution fabric error detection and power domain isolation.
- Exposure to AI framework graph formats (ONNX, TFLite) and understanding of how graph compilation maps to hardware execution primitives.
- Tape-out credits on an edge-AI, IoT, or wearable SoC at 12nm or below.
- Experience with formal verification of flow-control logic, deadlock freedom, or bus protocol compliance.

We offer a competitive base salary for this role, generally ranging from $200,000 to $275,000, plus a 10% annual bonus, meaningful equity, and comprehensive benefits. Final compensation will depend on experience, level, and location, with flexibility for the right candidate. Why Join Efficient?

Build what's next. At Efficient, you'll tackle big challenges with room to take ownership and make an impact. We back you with competitive pay, equity, a 401(k) match, company-paid benefits, paid parental leave, and flexibility—plus opportunities to grow your skills and career as we scale.

## About Efficient Computer

## Company Overview
- **One-liner**: Efficient Computer is building the world’s most energy-efficient general-purpose processor by combining a novel Fabric architecture with an intuitive compiler, targeting edge AI, industrial automation, space/defense, and beyond.
- **Entity Type**: Private (Series A)
- **Headquarters**: Pittsburgh, Pennsylvania, United States
- **Founded**: 2022
- **Founders**: Brandon Lucia (CEO) and Nathan Beckmann (Chief Architect)

## Core Business
- Primary industry/industries: Semiconductor / Computer Hardware / AI Chips
- Target customers: B2B – OEMs and systems integrators in edge AI, industrial automation, satellite/space, automotive, defense, and consumer electronics
- Mission or purpose statement: To set a new standard for energy efficiency in general-purpose computation, enabling applications that are infeasible today due to energy constraints. [efficient.computer/about](https://www.efficient.computer/about)

## Products & Services
- **[Electron E1 Processor]**: A general-purpose processor featuring the proprietary Fabric architecture and 4MB of on-chip MRAM. It replaces von Neumann execution with a spatial dataflow model, delivering up to 1 TOPS/W and scaling from 5.4 GOPS to 21.6 GOPS. Designed for always-on AI inference at the edge. [efficient.computer/technology](https://www.efficient.computer/technology)
- **[effcc Compiler]**: A drop-in replacement for GCC/Clang that automatically extracts parallelism from C, C++, and TFLite code and maps it to the Fabric architecture. Provides ultra-fast compilation times and a GDB-compatible debugging experience. [efficient.computer/technology](https://www.efficient.computer/technology)
- **[Fabric Architecture]**: The core technology – a tiled grid of reconfigurable compute nodes that eliminates instruction fetch and decode overhead, achieving 10–100× energy efficiency gains over traditional CPUs and GPUs. [efficient.computer](https://www.efficient.computer/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding – $70.0M across 3 rounds (Seed and Series A)
- **Notable Investors/Partners**: Triatomic Capital (led Series A), Eclipse (led Seed round). Key advisors include Alex Hawkinson (founder of SmartThings and BrightAI). [linkedin.com/company/efficientcomputer](https://www.linkedin.com/company/efficientcomputer)
- **Growth Signals**: 
  - 46 employees (+79.4% YoY, +27 people)
  - 13,966 LinkedIn followers (+180.4% yearly growth)
  - First silicon product (Electron E1) delivered to customers in mid-2025, ramping to volume distribution in 2026
  - Customer traction in physical AI, space/defense, automotive, and consumer products

## Competitive Advantages
- **Fabric Architecture**: A fundamentally new compute paradigm that is 10–100× more energy-efficient than traditional CPUs/GPUs for general-purpose workloads, including AI inference.
- **Full Programmability**: Unlike specialized accelerators that only optimize isolated kernels, the Fabric architecture accelerates entire applications without requiring code rewrites.
- **Proven Silicon**: Two silicon implementations (Electron E0 prototype and Electron E1 product) are already in customer hands.
- **World-Class Team**: Founders and key engineers are leading computer architects from Carnegie Mellon University, with deep expertise in efficient computing.

## Strategic Focus
- Scale the Electron E1 processor into high-volume production and distribution (targeting 2026).
- Expand into multiple verticals: physical AI, industrial automation, space/satellite, defense, automotive, and consumer electronics.
- Continue developing the effcc compiler ecosystem to support more frameworks and languages.
- Grow the engineering team, particularly in physical design, verification, architecture, and software optimization.

## Why Work Here
- **Cutting-Edge Technology**: Work on a novel processor architecture that redefines energy efficiency for the AI era.
- **Strong Growth Trajectory**: The company is scaling rapidly (nearly 80% headcount growth YoY) with a clear product-market fit and customer traction.
- **Engineering-Centric Culture**: 43% of the workforce is in technical roles, with a focus on computer architecture, compiler design, and silicon engineering.
- **Compensation & Benefits**: Competitive base salaries, meaningful startup equity, 401k matching, and a choose-your-own-adventure equipment allowance. [efficient.computer/about](https://www.efficient.computer/about)
- **Work Locations**: Offices in Pittsburgh, PA; San Jose, CA; and Austin, TX. Roles are on-site/hybrid at these hubs.
- **Values-Driven**: The company emphasizes integrity, impact, and accountability. [efficient.computer/about](https://www.efficient.computer/about)
- **Open Roles (as of mid-2026)**: 7 active positions including Design Verification Manager, Hardware Infrastructure & CI/CD Engineer, Senior Product Managers (Hardware/Software), Computer Architect, and Lead Physical Design Engineer.

## Sources
1. [efficient.computer](https://www.efficient.computer/)
2. [efficient.computer/about](https://www.efficient.computer/about)
3. [efficient.computer/technology](https://www.efficient.computer/technology)
4. [linkedin.com/company/efficientcomputer](https://www.linkedin.com/company/efficientcomputer)
5. [job-boards.greenhouse.io/efficientcomputer](http://job-boards.greenhouse.io/efficientcomputer)

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