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Salary
$128k – $170k per year
Location
Remote/Hybrid (San Jose, San Francisco, United States)
Seniority
Senior · 2+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Lambda is an American company founded in 2012 that sells GPU computing for artificial intelligence, first as workstations and servers and now primarily as cloud capacity. Its position is deliberately narrow: it does not attempt to be a general cloud provider and instead offers dense GPU clusters at prices well below the hyperscalers, which suits research teams and model developers whose only requirement is accelerator hours. Headquartered in San Jose and backed at a multi-billion dollar valuation, it has signed large supply agreements with Nvidia and Microsoft and operates its own data centre capacity.

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.

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