In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Lead the completion of quarterly and annual tax provision in accordance with ASC 740
Drive tax accounting close process and timely data gathering and reporting
Oversee federal, state, local, and international tax filings including foreign GAAP returns
Complete tax projects such as R&D tax credit, Sec. 174, Sec. 382 analyses
Prepare forecasted incomes taxes and cash tax payment analysis
Manage income tax audits and respond to notices from tax authorities
Assist with implementation of transfer pricing, tax planning and optimization strategies
Collaborate with teams across the business to improve systems and processes
Champion Tax across the business and with leadership
You
Bachelor's degree in accounting, finance, or a related field. CPA-licensed.
6+ years of related experience in public accounting or in the internal tax department of a US multi-state corporation
Strong technical knowledge of ASC 740, SEC disclosure standards, and US GAAP
Strong knowledge of US and International sales and use tax laws, regulations, and compliance requirements.
Excellent attention to detail and organizational skills to manage multiple projects and deadlines simultaneously.
Strong analytical and problem-solving skills, with the ability to apply rules to practical scenarios.
Effective communication and interpersonal skills to collaborate with internal teams and external stakeholders.
High ethical standards and the ability to handle confidential and sensitive information with integrity.
Nice to Have
Experience in the machine learning or computer hardware industry.
Netsuite experience (or other large ERP system experience) and Avalara
MS in Tax
Salary Range Information
Based on market data and other factors, the salary range for this position is $150,000 - $190,000. 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, ~350 employees (2024) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Health, dental, and vision coverage for you and your dependents
Commuter/Work from home stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible Paid Time Off Plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
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.
