Lead RTL Design Engineer

Posted 23 Days Ago
9 Locations
In-Office or Remote
200K-275K Annually
Senior level
Hardware • Manufacturing
The most energy-efficient general purpose processors ever made.
The Role
Lead microarchitecture definition and synthesis-ready RTL implementation for processor and accelerator SoCs. Own dataflow execution fabrics, memory subsystems, on-chip networks, low-power logic, peripheral integration, and hardware/software execution models. Drive PPA optimization, verification collaboration, design documentation, mentoring, synthesis and timing closure, DFT support, tape-out, and silicon bring-up for highly energy-efficient edge-computing hardware.
Summary Generated by Built In

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.

Skills Required

  • 8+ years of RTL design experience with tape-out ownership involving dataflow-based designs, on-chip networks, memory subsystems, peripheral integration, or processor/accelerator SoCs
  • Deep proficiency in SystemVerilog for synthesis-clean, lint-clean, timing-aware RTL design
  • Ability to design complex state machines, arbiters, token flow controllers, and datapath logic from scratch
  • Understanding of dataflow, SIMD, or systolic-array architectures and token-based producer-consumer synchronization
  • Hands-on experience with SRAM wrappers, scratchpad or TCM memory, memory banking, and memory-mapped register interfaces
  • Experience with UPF-driven low-power RTL, clock gating, power domains, retention registers, and always-on wakeup logic
  • Experience implementing at least one standard on-chip bus protocol, such as AXI, AHB, APB, TileLink, or an equivalent NoC protocol
  • Experience taking RTL through synthesis and timing closure, including interpreting SDC constraints, STA reports, and synthesis QoR summaries
  • Strong written communication skills and ability to independently produce microarchitecture specifications and design review materials
  • Experience with memory compiler toolchains
  • Prior RTL ownership of a dataflow engine, NPU, or streaming DSP architecture with producer-consumer token management
  • Experience collaborating with compiler or graph-optimization teams on hardware execution models and graph IR representations
  • Familiarity with NVM controller RTL, including MRAM or RRAM, ECC, program/erase sequencing, and model-weight storage
  • Experience with IoT-class power budgets and associated RTL design techniques
  • Familiarity with ISO 26262 and IEC 61508 functional safety standards
  • Exposure to ONNX or TFLite graph formats and graph compilation to hardware execution primitives
  • Tape-out experience 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
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The Company
HQ: Pittsburgh, PA
49 Employees
Year Founded: 2022

What We Do

Efficient is building the world’s most energy-efficient general-purpose processor by combining ultra-efficient hardware with an intuitive, developer-friendly compiler and software stack that unlocks 10–100× efficiency gains across every part of an application, including AI. Efficient was founded in 2022 to commercialize a breakthrough in efficient computation developed over nearly a decade by a team of world-leading computer architects. Efficient's world-class team has produced two silicon implementations of the Fabric architecture: the Electron E0, a prototype system-on-chip, and the Electron E1, the first silicon product. With Efficient's cutting-edge effcc Compiler and software stack, the Electron E1 processor has been delivered to customers as of mid-2025, ramping to large-scale volume and distribution in 2026. Efficient already has customer traction in areas such as physical AI for infrastructure and automation, space and defense, automotive, and consumer products. Efficient's technology scales from tiny “beyond the edge” devices to large-scale robotics, autonomy, edge cloud, and datacenter applications—enabling widespread adoption across multiple industries and positioning Efficient as the solution to the energy problem across all of computing.

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