Staff Software Engineer, Infrastructure Asset Systems
San Francisco, CA - USA
Job Summary
About Anthropic
Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.
About the role
Anthropics infrastructure footprint datacenters networking compute and facilities is growing rapidly and so is the need to track account for and govern those assets with precision and confidence. Our finance accounting internal audit and infrastructure teams need a shared trustworthy view of every asset from the moment its purchased through receipt deployment transfers and eventual disposal with the controls auditability and reporting required to operate responsibly at scale.
Weve started building the systems to meet that need and were looking for a Staff Software Engineer to join the build and own its ongoing expansion and maintenance. Youll work across a flexible asset data model a configurable lifecycle and approval workflow engine reconciliation against our financial and procurement systems an ad hoc reporting layer and a compliance backbone of immutable audit trails role-based access control and segregation of duties.
Youll work closely with the infrastructure teams responsible for managing our fixed assets understanding how they receive deploy move and retire equipment and translate those operational and technical requirements into reliable software. Youll also partner with accounting audit tax finance and procurement teams to ensure the system meets their controls and reporting needs and youll help establish the processes by which the team manages a rapidly growing and increasingly complex set of assets.
Key responsibilities
Build and extend the systems that track govern and report on Anthropics infrastructure assets: the asset data model lifecycle state machine approval workflow engine reconciliation pipelines and reporting layer
Build durable well-tested integrations with our financial and procurement systems as the bidirectional system of record for fixed asset events
Implement and maintain the compliance surface: immutable event logging tamper-evident audit trails role-based access control with least-privilege defaults segregation of duties and period-close controls
Build internal-facing UI for accounting audit and infrastructure teams to receive transfer and dispose of assets and to run reconciliations and reports without engineering involvement
Work closely with infrastructure teams responsible for managing fixed assets to understand their workflows and translate operational requirements into software
Partner with accounting audit tax finance and procurement teams to translate controls and reporting requirements into technical designs and to evolve them as the business changes
Establish and document processes for asset onboarding data quality change management and controls scoping as the asset base grows
Minimum qualifications
Proficiency in a compiled statically typed language such as Go or Rust with strong object-oriented design fundamentals
Front-end web development experience
Experience designing relational data models and writing SQL for systems with complex entity relationships
Experience designing and building APIs and service-to-service integrations
Experience building systems with auditability access control or compliance requirements
Experience translating requirements from non-engineering stakeholders into technical designs
Strong written and verbal communication
Preferred qualifications
Experience with Go and TypeScript
Experience with design tools such as Figma
Experience building or operating asset lifecycle management IT asset management ERP or fixed-asset systems
Familiarity with internal controls and audit concepts: audit trails segregation of duties change management access reviews
Experience integrating financial or procurement systems
Experience building workflow or approval engines RBAC systems or report/query builders
Experience building and operating internal tools or platforms used by non-engineering teams
Familiarity with accounting concepts such as capitalization depreciation CIP fixed asset registers and period close
Experience with datacenter or network infrastructure operations
Representative projects
Design the lifecycle state machine that governs asset status transitions (received > in-service > out-of-service > disposed) with configurable approval gates by asset class value threshold and event type and a full audit trail
Build the reconciliation pipeline that compares the asset register against our financial and procurement systems on a regular cadence flags variances and supports manual resolution
Implement the immutable event log and field-level change history that supports controls evidence collection with tamper-evident retention
Build the ad hoc report builder that lets accounting generate a fixed asset register CIP aging or monthly reconciliation without engineering involvement
Design the RBAC and segregation-of-duties model that ensures asset receipt approval transfer and disposal roles are distinct and auditable
The annual compensation range for this role is listed below.
For sales roles the range provided is the roles On Target Earnings (OTE) range meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320000 - $405000 USD
Logistics
Minimum education: Bachelors degree or an equivalent combination of education training and/or experience
Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.
Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.
How were different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.
Required Experience:
Staff IC
About Company
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.