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Subquadratic

API Engineering Lead

Subquadratic

API Engineering Lead developing and evolving customer-facing and backend APIs for AI infrastructure company. Leading architecture, implementation, and performance improvements in real-time and batch speech APIs.

Posted 4/12/2026full-timeRemote • California • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsGoGRPCKubernetesRayRust

About the role

Key responsibilities & impact
  • Own end-to-end design, architecture, and evolution of Subquadratic’s customer facing and backend APIs
  • Architect for Scale & Speed: Design and evolve the global control plane for Subquadratic’s real-time (WebSocket/gRPC) and batch APIs
  • Productionize ML at the Edge: Build the high-throughput inference layer that wraps our speech models
  • Optimize for millisecond-level cold starts and efficient GPU utilization
  • Reliability & Observability: implement distributed tracing (OpenTelemetry) and define strict SLOs for streaming stability (e.g., jitter, connection drop rates)
  • Security by Design: Lead the implementation of enterprise-grade security (API keys, OAuth2, rate limiting) and compliance controls (SOC2, data retention) for sensitive audio data
  • Define API standards, versioning, authentication, usage metering
  • Partner with Research, Product, and Infra to deliver new capabilities
  • Mentor engineers and set best practices for API engineering

Requirements

What you’ll need
  • 5–8 years backend/systems engineering experience
  • Strong experience building and running production APIs
  • Deep Proficiency in Go or Rust
  • Experience with streaming systems (websockets, gRPC, real-time audio/video)
  • ML Infrastructure Experience: Familiarity with model serving (Triton, TorchServe, Ray) or orchestrating GPU workloads on Kubernetes/AWS
  • Deep understanding of distributed systems, performance tuning, async I/O
  • Cloud Native Fluency: Hands-on experience with AWS (EKS/ECS, Lambda, ElastiCache)
  • Bonus Background in speech, audio, DSP, or ML inference pipelines
  • Experience building SDKs, developer tooling, or API billing/usage systems
  • Early-stage startup experience

Benefits

Comp & perks
  • Competitive base salary
  • Equity participation
  • Comprehensive health, dental, and vision coverage
  • Flexible paid time off

ATS Keywords

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Hard Skills & Tools
backend engineeringAPI designGoRuststreaming systemsmachine learning infrastructuredistributed systemsperformance tuningcloud nativeSDK development
Soft Skills
mentoringcollaborationbest practices
Certifications
SOC2 compliance