Top Tech Jobs & Startup Jobs in Seattle, WA

Build and maintain high-performance distributed inference systems to serve LLMs at scale. Implement intelligent request routing, autoscaling, load balancing, deployment pipelines, and integrate diverse AI accelerators across multi-cloud environments. Use observability to tune production performance and enable research workflows.

Own Anthropic’s end-to-end security incident management program, including detection, response, escalation, incident command, remediation tracking, post-incident reviews, documentation, training, and KPI reporting. Analyze incident trends and coordinate cross-functional engineering, infrastructure, security, legal, and product teams to implement systemic improvements. Establish incident commander rotations, improve alert fidelity, and drive accountability for preventive fixes across the organization.

Own Anthropic’s global income tax provision and US income tax compliance functions, including ASC 740 close, deferred taxes, uncertain tax positions, disclosures, SOX controls, audits, and Big 4 co-sourced compliance. Lead tax planning and analysis for M&A, infrastructure leases, financing structures, joint ventures, and acquisitions. Drive automation, technical memo preparation, cash tax forecasting, advisor management, and development of the tax team.

Owns the revenue and order-to-cash internal control environment, including SOX 404 readiness, process documentation, control design, IPE validation, audit support, remediation, SOC reporting, and system implementation governance. Partners across Accounting, Revenue Systems, Internal Audit, Product, Sales, Legal, and external auditors to ensure accurate billing, revenue recognition, data reconciliation, and control readiness for system changes.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

As a GPU Performance Engineer, you will develop and implement systems for GPU optimization, enhancing performance for large language models, and addressing complexities in hardware and software integration.

The Software Engineer will develop full-stack applications for AI research teams, enhancing productivity through intuitive interfaces and rapid prototyping. Responsibilities include building infrastructure, collaborating with researchers, and mentoring other engineers.

The Product Support Specialist responds to and investigates user support cases, assists customers, manages urgent issues, and improves support processes.

Lead architecture, roadmap, and implementation for feature flagging, dynamic configuration, and A/B/experimentation infrastructure. Build scalable distributed systems, libraries, tooling, and APIs/CLI to enable safe rollouts, experiments, and measurement across research and production. Partner with deployment, testing, and internal teams to define standards and improve developer productivity.

The Research Engineer will develop large language models, conduct research on model architecture, optimize training infrastructure, and lead research projects.