IR Labs is the innovation lab inside Integrated Research where small cross‑functional squads chase outsized industry‑defining opportunities. We operate like a funded startup - rapid sprints bold experimentation zero bureaucracy - backed by the global footprint and resources of a public company. Our charter is simple turn cutting‑edge AI research into products that customers can’t imagine working without. We target the hardest problems in software and then move fast to ship solutions that create 10x impact. Our flagship is Agentic SQA - a software quality system that turns noisy signals (static analysis fuzzers sanitizers CI output) into context-aware triage validated actions and developer-ready outputs. We’re in beta now starting narrow on a focused C/C++ risk-analysis workflow targeting a specific bug class and expanding from there into broader coverage richer evidence and stronger control layers. The stack combines LLVM/clang static analysis a code knowledge graph and agentic LLM workflows. The direction is bigger than code review a systems verification platform that closes the gap where human-speed review is breaking down. If you thrive on autonomy crave world‑class technical challenges and want to see your ideas hit production quickly IR Labs is your launch pad. Join us and help build the future one breakthrough at a time.
The founding Principal Platform Engineer will join a lean team and work closely with senior technical leaders to accelerate execution and deliver high-impact infrastructure to allow AI teams to focus on innovation. If you want to own the core platform that turns AI systems into a reliable secure and scalable product and build the backend services that power onboarding and operations create streamlined “paved roads” for engineering and productionize AI workloads with strong MLOps foundations this role was written for you.
Own the product platform not just the infrastructure build the core platform layer that turns our AI systems into a reliable supportable product customers can onboard to and use daily. Ship critical backend systems design and implement core services/APIs that power signup/sign-in tenancy permissions billing/entitlements provisioning and internal workflows so customer onboarding is seamless and repeatable. Build “paved roads” that prevent engineering drag create a standardized self-serve path from feature → deploy → operate so teams can ship without repeated bespoke work manual steps or fragile runbooks. Keep the AI critical path clean absorb platform/ops/MLOps work that would otherwise pull our AI Scientist/MLE into toil and customer support protecting our highest-leverage innovation hours. Productionize AI workloads build pragmatic MLOps and GPU operations foundations (serving/training workflows model artifact distribution utilization-aware scheduling caching/cold-start strategies) so AI cost and latency remain controlled as we scale. Create reliability as a system property define SLIs/SLOs and error budgets then enforce them through release standards testing discipline rollout patterns and incident practices. Embed security into the platform primitives implement safe-by-default patterns for identity access boundaries secrets and dependency hygiene so security is “how the platform works” not a separate checklist. Design for resilience with cost discipline architect multi-region strategies (backup/restore DR failover) that are as simple as possible while meeting availability goals. Make observability actionable build high-signal metrics/logs/traces and operational dashboards that reduce noise and accelerate diagnosis run blameless incident reviews that permanently reduce repeat failures. Be a force multiplier across a senior team partner closely with data infra compiler and AI leadership to review designs unblock execution and ship high-impact work directly when needed. What You Bring to the Table Principal-level “builder/operator” experience you’ve built and run production systems end-to-end including design implementation deployment on-call reality and iteration under customer pressure. Backend engineering strength you can ship significant backend systems (APIs workflows auth boundaries tenancy) and are comfortable owning core product services not just infrastructure automation. Strong systems coding deep proficiency in Go and/or Rust (Python acceptable as supporting) plus solid shell skills you can deliver large correct changes quickly with tests and quality gates. Kubernetes and cloud fluency strong Kubernetes/EKS experience you understand service networking zero-downtime rollouts autoscaling and safe multi-tenant patterns. Comfortable with AWS primitives (VPC IAM EC2 S3 RDS) and multi-region architecture. AI Ops / GPU awareness experience operating GPU-backed workloads or adjacent high-performance compute. You understand utilization scheduling tradeoffs and practical cost/performance management in production. Reliability engineering mindset you’ve used SLIs/SLOs/error budgets and know how to make reliability measurable and enforceable through engineering practice (not meetings). Security-by-design fundamentals strong instincts and experience with identity/access patterns secrets dependency/supply-chain hygiene and audit-friendly operational practices. Automation-first execution track record of eliminating operational toil through automation across CI/CD provisioning testing and operations. Customer-facing technical judgment you can take customer feedback and translate it into platform capabilities that reduce friction reduce support burden and accelerate adoption. Clear communication in ambiguity you write crisp design docs make tradeoffs explicit and collaborate effectively across ML/data/backend in a fast-moving environment. Our job descriptions often reflect our ideal candidate. If you have a strong foundation of relevant skills and a passion for this field we encourage you to apply even if you don't check every box.
High Impact ship real features in weeks not quarters Cutting-Edge Tech work to solve problems no one has cracked before. Remote & Flexible work from anywhere with a culture built on trust autonomy and balance. Growth & Ownership own features end-to-end learn rapidly and grow with the company as we scale. Top-Tier
competitive salary performance bonuses equity upside and strong benefits. Team & Culture small senior team that values collaboration creativity and building something meaningful together. Medical Dental Vision Insurance. 401k with Employer Contributions. Paid Time Off & Birthday Leave. Health Savings Account (HSA) Employer Contributions with High-Deductible Health Plan. Employer-paid Short-Term/Long-Term Disability Insurance. And more!
Range $240000 - $350000 base salary $50000 - $80000 variable compensation Actual compensation offer to candidate may vary from posted hiring range based upon geographic location work experience education and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at the offer stage. At IR we celebrate support and thrive on difference for the benefit of our employees our products and our community. We are proud to be an Equal Employment Opportunity employer and encourage applications from all suitable candidates we never discriminate based on race religion national origin gender identity or expression sexual orientation age or marital veteran or disability status.
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