Full-Time

Digital Design Engineer

Posted on 9/5/2025

Efficient Computer

Efficient Computer

51-200 employees

Energy-efficient processors for edge IoT computing

Compensation Overview

$160k - $210k/yr

+ Equity

San Jose, CA, USA + 1 more

More locations: Pittsburgh, PA, USA

Remote

Category
Hardware Engineering (1)
Required Skills
Python
DevOps
Requirements
  • 8+ years of post-graduate digital design experience with substantial experience designing for tape-out
  • Bachelor’s degree in related field required (Electrical Engineering, Electronics Engineering, Computer Science, Integrated Circuits). Master’s or PhD. preferred.
  • Experience using PowerArtist/PTPX/Primepower
  • Experience running a digital design flow using industry-strength digital design and EDA tools
  • Experience with designing and implementing features in RTL
  • Experience integrating digital IP with RTL-level implementations
  • Experience with pre-silicon verification
  • Experience with continuous integration and testing of digital designs
  • Experience with version control and scripting languages (Python preferred)
  • Experience with memory compiler toolchains
  • Strong attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills
  • Good problem solving skills
Responsibilities
  • Design, implement, and verify features from specification through synthesis
  • Measure, analyze, and optimize power consumption in digital designs from the front-end perspective, using industry-standard tools
  • Implement product features at the RTL-level targeting silicon implementation
  • Implement product features at the RTL-level targeting FPGA emulation for verification
  • Build unit testbench infrastructure to verify implemented features
  • Design of memory systems and digital integration of memory macros, including SRAM, MRAM, and others
  • Interface design components with external/vendor-provided IP
  • Use industrial-strength digital design tools from RTL simulation through synthesis, which may include Cadence, Synopsys, Mentor/Siemens EDA, and ANSYS as necessary
  • Provide comprehensive feature and integration documentation
  • Interact with physical design and digital verification team for pre-silicon verification
  • Work with physical design team to resolve RTL-level issues leading to DRC violations
  • Work with compiler and embedded software teams to develop, document, and implement features that span across the software-hardware boundary, including Efficient’s dataflow ISA
Desired Qualifications
  • Experience designing compilers
  • Knowledge of computer architecture
  • Knowledge of physical design and ASIC implementation
  • Experience with power and energy modeling (using tools like PowerArtist, Joules, etc.)
  • Master’s or PhD preferred

Efficient Computer designs energy-efficient programmable processors for IoT edge devices and provides a toolchain that integrates with existing embedded languages and AI/ML frameworks. The processors support local edge computation to cut data transmission, extend battery life, and enable on-device processing and data compression with a developer-friendly toolchain. The company differentiates itself by prioritizing battery longevity and offering an end-to-end ecosystem that works with familiar programming environments rather than requiring new workflows. Its goal is to enable widespread, cost-effective edge deployments by dramatically reducing energy use and extending device lifetimes in IoT networks.

Company Size

51-200

Company Stage

Early VC

Total Funding

$70M

Headquarters

Pittsburgh, Pennsylvania

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • $60M Series A in February 2026 funds product roadmap acceleration.
  • Electron E1 sampling began Q2 2025 with customer traction in AI.
  • Scales from edge devices to data centers across industries.

What critics are saying

  • Arm Cortex-M55 captures 70% low-power AI edge market in 6-12 months.
  • NVIDIA Jetson Orin Nano blocks deals with 275 TOPS at 15W now.
  • TensorFlow Lite Micro fails Fabric optimization, causing 30-50% shortfalls.

What makes Efficient Computer unique

  • Fabric architecture uses spatial dataflow to eliminate data movement waste.
  • Electron E1 achieves 100x energy efficiency over low-power CPUs.
  • effcc compiler integrates with C and AI/ML frameworks seamlessly.

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Benefits

401(k) Company Match

401(k) Retirement Plan

Health Insurance

Paid Parental Leave

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

6%

2 year growth

6%
Benzinga
Feb 18th, 2026
Efficient Computer raises $60M Series A to scale energy-efficient processors for AI applications

Efficient Computer, a Pittsburgh-based startup building energy-efficient general-purpose processors, has raised $60 million in a Series A round led by Triatomic Capital, bringing total funding to $76 million. Eclipse, Union Square Ventures, Overlap Holdings, Box Group, RTX Ventures and Toyota Ventures participated. The company has developed the Electron E1 processor, built on its Fabric architecture—a spatial dataflow design that minimises energy use whilst executing AI, signal processing and controls workloads. The architecture eliminates unnecessary data movement inherent in CPU and GPU designs, delivering accelerator-like efficiency without sacrificing programmability. The funding will accelerate Efficient Computer's product roadmap and expand its engineering teams. The company targets applications from edge devices to data centres where energy constraints limit traditional computing architectures.

PR Newswire
Feb 18th, 2026
Efficient Computer Raises $60 Million to Advance Energy-Efficient General-Purpose Processors for AI

Efficient Computer raises $60 million to advance energy-efficient general-purpose processors for AI. Feb 18, 2026, 11:00 ET PITTSBURGH, Feb. 18, 2026 /PRNewswire/ - Efficient Computer, the company building the world's most energy-efficient general-purpose processors, today announced a $60 million Series A funding round led by Triatomic Capital with participation from Eclipse, Union Square Ventures, Overlap Holdings, Box Group, RTX Ventures, Toyota Ventures, Overmatch Ventures, and others. The round brings the total amount raised to $76 million. The new capital will be used to accelerate Efficient Computer's product roadmap and expand its engineering and developer teams, bringing its ultra-efficient architecture to a wide range of use cases. Energy is the primary constraint on all modern computing hardware. As AI and advanced software move out of the cloud and into the physical world, existing processor architectures struggle to deliver intelligence within power, thermal, battery lifetime, and form-factor limits. Fixed-function accelerators entering the market lack the flexibility required to keep pace with rapidly evolving workloads, and the next iteration of inefficient CPUs or GPUs does nothing to address the energy demands of the world's most important applications of intelligence and computing. Efficient Computer is addressing this challenge with the Electron E1, the world's most energy-efficient general-purpose processor, built on Efficient Computer's Fabric architecture. The Efficient Fabric architecture is a spatial dataflow architecture designed from the ground up to minimize energy use while executing real, general-purpose programs - including critically important AI, signal processing, and controls workloads - efficiently on a single programmable platform. By eliminating unnecessary data movement and architectural overheads intrinsic to CPU and GPU architectures, the Efficient Fabric architecture delivers dramatic gains in performance per watt The Fabric achieves hardware-accelerator-like efficiency and performance, without sacrificing programmability, like many recent over-specialized hardware products that do not support the full breadth of computation needed for critical applications such as physical AI. "The industry has responded to rising energy costs by layering many fixed-function accelerators into a typical SoC," said Brandon Lucia, CEO and co-founder of Efficient Computer. "The specialized hardware approach works to support a narrow slice of today's workloads, but it breaks down as software, models, and applications continue to change. Efficient was built around a different idea: that the most durable path forward is a truly general-purpose architecture that can evolve with software over time, while providing market-leading energy efficiency for a range of critical intelligence use cases." This funding round will enable Efficient Computer to advance its vertically integrated hardware and software platform into embedded high-performance applications and further develop its Efficient Fabric architecture IP across edge, infrastructure, and emerging AI-driven markets. "As we continue to see AI embedded across the physical world, Efficient's processors enable intelligence in applications that were previously inaccessible," said Peter Zhou, general partner at Triatomic Capital. "We see Efficient's architecture as the missing link in AI's last-mile distribution problem. We are proud to support the team as they tackle AI's energy problem from the edge to the data center." "Efficient is taking a fundamentally new approach to compute architecture, delivering dramatically greater efficiency and significantly lower power consumption than traditional general-purpose compute," said Greg Reichow, partner at Eclipse. "As energy becomes the defining constraint for everything from edge devices to data centers, Efficient's breakthrough enables far more compute within the same energy footprint. We're excited to support the team as they translate this clean-sheet innovation into real products that can reshape the future of computing." "Efficient Computer truly lives up to its name in more ways than one. The company has built a unique, energy-efficient computing architecture and has also done it in a highly capital-efficient manner," said Justin Stevens, founder and CEO at Overlap Holdings. "To reach this stage of development and commercialization with so little expenditure to date sets them up for unparalleled growth and success going forward." "We are excited to partner with Efficient Computer as they build a new class of highly energy-efficient chips. The team's technical depth and market insight position them to enable new applications that have long been constrained by power," said Rebecca Kaden, general partner at Union Square Ventures. "The proliferation of sensors and the emergence of an intelligent physical world represent one of the most exciting opportunities in front of us, and Efficient Computer is well positioned to help power what is possible." "Efficient's Electron E1 processor fundamentally changes what's possible at the edge," said Alex Hawkinson, founder and CEO of BrightAI. "Efficient has delivered a true leap in energy-efficient computation, and integrating E1 into BrightAI's Stateful platform allows us to unlock a new sphere of physical AI, bringing real-time observability to the world's most critical infrastructure." About Efficient Computer Efficient Computer is building the world's most energy-efficient general-purpose processor by combining ultra-efficient hardware with intuitive, developer-friendly software. This approach delivers extreme efficiency across a wide range of applications - from physical AI in infrastructure and automation, to space and defense, to consumer and industrial wearables. Efficient's Fabric architecture scales seamlessly from tiny, "beyond the edge" devices to the edge, and all the way to the data center, enabling widespread adoption across industries and positioning Efficient as the solution to computing's energy challenge. For more information about the company, please visit https://efficient.computer. SOURCE Efficient Computer

SiliconANGLE Media
Jul 25th, 2025
Efficient Computer targets edge workloads with highly efficient Electron E1 chip launch

Low-power computer chip startup Efficient Computer Co. today announced the launch of its new flagship Electron E1 processor, dramatically reducing the energy requirements of general-purpose computing workloads.

Tom's Hardware
Mar 8th, 2024
Startup aims to make CPUs 100x more energy efficient with 'reconfigurable' chips - Efficient Computer reveals Monza chip

Efficient Computer has received its first round of funding of $16 million led by Eclipse, a venture capital firm that has funded Cerebras, FlexLogix, and Tenstorrent.

FinSMEs
Mar 7th, 2024
Efficient Computer Raises $16M in Seed Funding

Efficient Computer, a Pittsburgh, PA-based computer architecture and software stack company, raised $16M in Seed funding.

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