---
title: 'Senior Accountant - Fixed Assets at Lambda'
canonical: 'https://feeny.ai/job/senior-accountant-fixed-assets-lambda-san-jose-ngbejzc1tcf7'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Accountant - Fixed Assets at Lambda

- **Company:** Lambda
- **Location:** San Jose, CA
- **Compensation:** $128k–$170k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-29
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/lambda/f75558dd-c1d6-49ee-933d-47fa71963ebe/application

**Skills:** US GAAP, ASC 360, ASC 350-40, ASC 842, ERP systems, NetSuite, SAP, Oracle, Fixed asset subledger, Depreciation calculation, Financial reporting, FloQast, Close management tools, Audit readiness, IPO preparation, Fundraising process

> The Senior Accountant owns the end-to-end fixed asset lifecycle, including capitalization, transfers, disposals, and impairment assessments in accordance with US GAAP. The role involves maintaining the fixed asset subledger, calculating depreciation, and supporting external audits and financial reporting for a high-...

## 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.

*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

## What You’ll Do

- Own the end-to-end fixed asset lifecycle: capitalization, transfers, disposals, write-offs, tagging and impairment assessments in accordance with US GAAP (ASC 360).
- Maintain and reconcile the fixed asset subledger, ensuring accuracy and completeness against the general ledger.
- Calculate and record monthly depreciation for all asset classes (GPU hardware, data center infrastructure, leasehold improvements, furniture & fixtures, and software).
- Partner with Supply Chain and DC Ops teams to evaluate capital vs. expense treatment for new hardware and infrastructure purchases.
- Prepare and review fixed asset roll-forward schedules, depreciation schedules, cash flow schedules, and supporting documentation for monthly and quarterly close.
- Support external audit requests related to fixed assets, including providing schedules, reconciliations, and explanations of accounting positions.
- Assist in the development and enforcement of the company’s capitalization policy and related accounting procedures.
- Identify and implement process improvements to the fixed asset tracking and close processes, leveraging automation where possible.
- Collaborate with Tax to provide fixed asset data for tax depreciation schedules and support tax provision work.
- Assist in financial statement disclosures related to PP&E as part of the quarterly and annual reporting process.

You

- Have 5+ years of fixed asset or general ledger accounting experience, with at least 2 years in a high-growth technology or infrastructure company.
- Have strong working knowledge of US GAAP, including ASC 360 (PP&E), ASC 350-40 (internal-use software), and ASC 842 (leases).
- Have experience with ERP systems (e.g., NetSuite, SAP, or Oracle); experience with fixed asset subledger modules is a plus.
- Bring strong analytical skills with a high degree of attention to detail and accuracy.
- Have a proven ability to manage multiple priorities and meet tight deadlines in a fast-paced environment.
- Are an effective communicator who can clearly explain accounting concepts to non-accounting stakeholders.

## Nice to Have

- Experience in a hardware-intensive technology company (data centers, cloud infrastructure, semiconductors, or similar).
- Familiarity with GPU or compute hardware procurement and asset tracking.
- Experience with FloQast or a similar close management tool.
- Prior involvement in audit readiness or preparation for an IPO or fundraising process.
- Hold a CPA license or are on the CPA track.

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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