---
title: 'Software Build & Release Engineer at Efficient Computer'
canonical: 'https://feeny.ai/job/software-build-release-engineer-efficient-computer-san-francisco-bay-area-or-a5g5wtmm5dpt'
type: 'job'
last_seen: '2026-11-05'
---

# Software Build & Release Engineer at Efficient Computer

- **Company:** Efficient Computer
- **Location:** San Francisco Bay Area OR Pittsburgh, PA
- **Posted:** 2026-11-02
- **Last confirmed live:** 2026-11-05
- **Apply:** https://job-boards.greenhouse.io/efficientcomputer/jobs/4475788009

## 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.

Efficient is looking for a Software Build & Release Engineer to own the GitHub-based build environment that every engineer on the team depends on to build, test, and ship software. That means developing and running the CI/CD pipelines, executing our testing and release processes, and being the first person to dig in when a build or the infrastructure behind it breaks.

This is a hands-on senior role. Success looks like fast, reliable builds, predictable releases, and a build system that other engineers can understand because it is clearly documented.

## What you'll do

Build environment

- Design, develop, and maintain the GitHub-based build environment, including GitHub Actions workflows, runners, and repository automation.
- Manage build compute across providers such as Namespace, Google Cloud, and AWS, balancing speed, reliability, and cost.
- Improve build times and stability through caching, parallelization, and dependency management.
- Keep the build environment secure: secrets handling, access controls, and dependency and artifact integrity.

Testing and release

- Execute and continuously improve the testing process, including automated test pipelines and reporting on results.
- Run the release process end to end: branching, versioning, packaging, artifact publishing, and release notes.
- Reduce flaky tests and manual release steps so that releases are repeatable and low-risk.

Triage and debugging

- Triage build, test, and infrastructure failures, and determine whether the cause is in code, configuration, tooling, or the provider.
- Debug problems to root cause and put fixes in place that prevent them from recurring.
- Monitor the health of builds and infrastructure, and act on trends before they become outages.

Communication and documentation

- Write and maintain clear documentation: build system architecture, runbooks, release procedures, and troubleshooting guides.
- Communicate build status, incidents, and upcoming changes to engineering teams in plain, timely terms.
- Work with developers to understand their needs and help them use the build and release tooling effectively.

Required qualifications

- At least 5 years of industry experience in software build, release, CI/CD, or infrastructure engineering.
- Deep hands-on experience with GitHub and GitHub Actions, including workflow design, self-hosted or third-party runners, and repository administration.
- Experience with build systems such as CMake and Make.
- Working familiarity with cloud service and compute providers such as Namespace, Google Cloud, and AWS.
- Proven ability to triage and debug complex build, test, and infrastructure failures across the stack.
- Experience executing testing and release processes for production software.
- Strong scripting skills (for example Bash and Python) and comfort working in Linux environments.
- Experience writing and debugging C/C++ programs.
- Excellent written and verbal communication skills, with a track record of producing documentation that others rely on.

## Preferred qualifications

- Experience with build caching and remote execution.
- Familiarity with observability and monitoring tools for CI and infrastructure.
- Experience with containers and orchestration (Docker, Kubernetes).
- Knowledge of software supply chain security practices, such as artifact signing and SBOMs.
- Experience managing cloud and CI spend.

We offer a competitive base salary for this role, generally ranging from $160,000 to $220,000, 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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