Principal Sofware Engineer, Applied AI

THE ROLE

As the Principal Software Engineer, Applied AI, you will guide our platform from pre-release into production-ready customer deployments while establishing the engineering standards needed to scale. This is an individual-contributor leadership role where you will set technical direction, drive product and architecture decisions, and stay actively hands-on with code, systems, and hardware.
You will collaborate directly with engineering leadership, a senior core team, product management, and early design-partner customers. You will lead through technical rigor, decisive ownership, and pragmatic execution.

WHAT YOU'LL DO

• Technical Strategy & Scoping: Establish the technical roadmap and release scope, turning customer needs into clear priorities while making sound trade-offs on what to build, defer, or cut.
• Architecture & Security: Design the platform runtime, workload isolation boundaries, and public APIs while leading threat modeling and audit preparation for security assessments.
• Hands-on Engineering: Write and review code, direct AI coding workflows, debug low-level systems, and verify workload behavior on real hardware and customer-like setups.
• Team Execution & Partner Alignment: Mentor senior engineers, establish resilient engineering and release practices, and work directly with early design partners to ensure a successful first launch.
• Customer Deployment & Reliability: Define production readiness and ensure installation, upgrades, rollbacks, backup, and disaster recovery run dependably in customer environments.

WHAT YOU BRING

• Production Systems Leadership: Proven track record leading the architecture and delivery of mission-critical infrastructure, runtime, or security software operating in production.
• Hands-on Systems Depth: Recent experience writing production code, debugging distributed systems, and managing reliability through incident response and post-mortems.
• Infrastructure Expertise: Deep mastery in at least two core areas: container runtimes and isolation, workload identity/security, Kubernetes, distributed systems, or enterprise storage.
• Modern Engineering Practices: Experience using AI coding tools with a disciplined approach to automated testing, fuzzing, and manual verification of generated code.
• Codebase & Communication Skills: Ability to pragmatically navigate and evolve existing codebases, alongside strong communication skills to align engineers, product managers, and customers.
• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

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