---
title: 'Senior Electrical Delivery Engineer at Lambda'
canonical: 'https://feeny.ai/job/senior-electrical-delivery-engineer-lambda-united-states-nk37b76jr2yw'
type: 'job'
last_seen: '2026-09-20'
---

# Senior Electrical Delivery Engineer at Lambda

- **Company:** Lambda
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-15
- **Last confirmed live:** 2026-09-20
- **Apply:** https://jobs.ashbyhq.com/lambda/38384169-e630-45b4-84f4-023d2e44ab78

## Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

## What You’ll Do

- Perform site walkdowns to verify installed electrical systems against approved designs, single-line diagrams, specifications, submittals, and Lambda standards.
- Validate equipment ratings, protection settings, phasing, grounding and bonding, terminations, labeling, redundancy, and electrical failure domains.
- Identify installation deficiencies, design conflicts, and operational risks; document punch-list items and drive them through closure.
- Review construction test results and witness factory acceptance testing, site acceptance testing, functional testing, and integrated systems testing.
- Develop and review energization plans, MOPs, SOPs, EOPs, switching procedures, and electrical safety controls.
- Support initial energization and troubleshoot issues involving substations, transformers, switchgear, UPS systems, generators, busway, PDUs, RPPs, and rack-level distribution.
- Coordinate with design engineers, engineering partners, utilities, general contractors, electrical trades, equipment manufacturers, commissioning agents, operations, and HPC deployment teams.
- Confirm that electrical capacity, voltage, redundancy, monitoring, and protection are ready before IT equipment is energized.
- Validate as-built documentation, equipment settings, test reports, commissioning records, and turnover packages before operational handoff.
- Capture field lessons and incorporate them into Lambda’s design standards, commissioning requirements, and site-validation playbooks.
- Mentor other engineers and provide senior technical leadership during high-risk energization and bring-up activities.

You

- Have significant experience delivering, commissioning, or operating electrical systems in data centers, mission-critical facilities, utilities, or large industrial environments.
- Understand both medium- and low-voltage distribution, including transformers, switchgear, protective relays, generators, UPS systems, busway, grounding, and rack-level power.
- Can interpret single-line diagrams, equipment submittals, protection studies, relay settings, test reports, and construction documentation.
- Have hands-on experience with site inspections, electrical testing, energization, commissioning, or operational turnover.
- Understand electrical safety, lockout/tagout, energized work controls, and applicable NEC, NFPA 70E, IEEE, and NETA requirements.
- Can distinguish between cosmetic deficiencies and conditions that create material safety, reliability, or operational risk.
- Are comfortable making decisions in the field, escalating critical issues, and coordinating corrective work under schedule pressure.
- Communicate clearly with construction teams, engineers, vendors, operators, and senior stakeholders.
- Are willing to travel extensively and spend extended periods at active construction and commissioning sites.
- Hold a bachelor’s degree in electrical engineering or equivalent practical experience.

## Nice to Have

- Experience commissioning hyperscale, colocation, HPC, or AI data centers.
- Experience supporting first energization and initial IT-load or GPU-cluster bring-up.
- Familiarity with Level 1–5 commissioning, integrated systems testing, and operational-readiness processes.
- Experience with protective-relay testing, breaker testing, insulation-resistance testing, power-quality analysis, or infrared inspections.
- Experience using tools such as ETAP, SKM, EasyPower, Procore, Bluebeam, or commissioning-management platforms.
- Experience investigating electrical failures and leading root-cause analysis.
- Professional Engineer licensure, commissioning certification, or NETA-related experience.

Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

## About Lambda

- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use

## Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

## About Lambda

## Company Overview
- **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories.
- **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Stephen Balaban and Michael Balaban

## Core Business
- Primary industry: AI infrastructure / cloud computing for machine learning.
- Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise).
- Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”).

## Products & Services
- **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including:
  - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing.
  - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team.
  - **1-Click Clusters™**: Rapidly deployable clusters for training and inference.
  - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects.
- **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding not publicly available; revenue not disclosed.
- **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies.
- **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA.

## Competitive Advantages
- **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012.
- **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation.
- **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs.
- **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.”
- **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand).

## Strategic Focus
- Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories.
- Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production.
- Expanding compliance and security capabilities for regulated industries.
- Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering.

## Why Work Here
- **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other.
- **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged.
- **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built.
- **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site.
- **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here).

## Sources
1. [lambda.ai/about](https://lambda.ai/about)
2. [lambda.ai/](https://lambda.ai/)
3. [lambda.ai/careers](https://lambda.ai/careers)
4. [lambda.ai/leadership](https://lambda.ai/leadership)

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