
API Engineering Lead
Subquadratic
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Job Level
About the role
- 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
- 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
- Competitive base salary
- Equity participation
- Comprehensive health, dental, and vision coverage
- Flexible paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
backend engineeringAPI designGoRuststreaming systemsmachine learning infrastructuredistributed systemsperformance tuningcloud nativeSDK development
Soft Skills
mentoringcollaborationbest practices
Certifications
SOC2 compliance