Careers: Build the Fastest Path to Real-Time AI
Qorinix hires high-ownership builders who want to ship measurable performance outcomes in AI infrastructure. We emphasize execution depth, technical judgment, and production accountability.
Role Families
Inference Engineering
Runtime orchestration, queue policy, and low-latency execution controls.
Model Optimization
Model serving efficiency, quantization workflows, and response-quality tuning.
Reliability & Platform
SLO design, incident systems, observability depth, and operational safety.
Open Roles
Inference Runtime Engineer
Own request flow from API ingress to runtime scheduling and latency stabilization.
Responsibilities
- Design low-latency routing and queue arbitration for mixed workloads.
- Improve p95/p99 performance under burst scenarios.
- Ship instrumentation and rollback-safe runtime changes.
Requirements
- Strong distributed systems and backend runtime experience.
- Hands-on delivery of measurable latency improvements in production.
- Clear incident and debugging communication standards.
Impact
Direct ownership of speed and throughput quality across customer-critical inference paths.
Model Optimization Engineer
Improve model-serving performance and response economics across production model lanes.
Responsibilities
- Optimize serving stacks through quantization and batching strategies.
- Translate benchmark evidence into shippable runtime improvements.
- Tune domain-specific model variants for response speed and stability.
Requirements
- Experience with transformer inference and model-serving pipelines.
- Strong experiment rigor and reproducibility discipline.
- Cross-functional collaboration with runtime and platform teams.
Impact
Own the bridge between model behavior and infrastructure-level performance outcomes.
Platform Reliability Engineer
Lead reliability design across API runtime, billing consistency, and incident readiness.
Responsibilities
- Define SLOs and reliability controls across core product surfaces.
- Build incident runbooks and operational resilience workflows.
- Improve observability for latency, quota, and webhook integrity signals.
Requirements
- Production SRE/Platform operations experience in high-scale services.
- Security-aware approach to access and release governance.
- Operational calm under high-pressure production events.
Impact
Protect customer trust by stabilizing runtime quality and escalation effectiveness.
Developer Platform Engineer
Own API onboarding quality, documentation reliability, and production integration pathways.
Responsibilities
- Design API integration flows and implementation templates.
- Improve onboarding conversion from signup to first successful workload.
- Maintain docs aligned with real runtime behavior and constraints.
Requirements
- Strong API/backend engineering with product-facing communication.
- Track record of improving developer adoption and onboarding speed.
- Ability to simplify complex infrastructure decisions.
Impact
Accelerate customer activation and reduce friction from pilot to production.
Hiring Process
Profile Review
Role-scope alignment and technical depth screening.
Technical Interview
System design judgment and production tradeoff quality.
Work Simulation
Realistic scenario evaluation tied to job responsibilities.
Panel Discussion
Cross-functional collaboration and ownership assessment.
Decision
Final calibration and offer discussion.
Candidate Standards
- Evidence of shipping production-grade systems with measurable performance impact.
- Strong written communication for specs, incident notes, and decision logs.
- Comfort with security, governance, and release-quality accountability.
- Execution-first mindset with high ownership and low-ego collaboration.