Senior Software Engineer, Private Cloud Compute Inference Routing
About the role
Senior software engineer to design, build, and operate inference routing and scheduling for Private Cloud Compute (PCC), enabling scalable, private, low-latency cloud inference for Siri AI and Apple Intelligence. Responsibilities span distributed systems design, network protocols, performance benchmarking, and collaboration with model serving, infrastructure, security, and SRE teams to deliver reliable routing capabilities at internet scale.
Responsibilities
- Design, build, and operate PCC's inference routing and request scheduling services, including global traffic management, capacity aware request placement, load balancing, and failover.
- Develop adaptive routing strategies that respond to changing demand, fleet health, and available compute capacity while maintaining latency and availability objectives.
- Build admission control, prioritization, and overload management mechanisms that keep the service responsive and allocate capacity fairly across competing workloads.
- Partner with model serving and infrastructure teams to evaluate and develop routing strategies for prefill/decode disaggregation and cache locality optimizations within PCC’s privacy architecture.
- Design network protocols and implement high-performance server software for inference request dispatch and response streaming.
- Define performance metrics and benchmark routing strategies under realistic workloads, using queueing delay, request latency, throughput, and fleet utilization to guide improvements.
- Own projects from architecture through production rollout, partnering with Siri AI, Apple Intelligence, infrastructure, security, and SRE teams to deliver new capabilities and improve reliability.
Qualifications
- 3+ years of professional experience designing, building and operating large distributed systems in production
- Server development in Java, C/C++, C#, Go or Swift
- Knowledge of LLM inference serving, including inference request routing, KV-cache placement and reuse (e.g., prefix-aware routing), prefill/decode disaggregation, and the tradeoffs between latency, throughput and accelerator use
- Experience with network protocols, application level networking and client-server architectures, including request routing, load balancing or scheduling at scale
- Experience benchmarking, debugging and tuning the performance of distributed systems, plus knowledge of Unix system internals
- Experience with cloud deployment and observability technologies such as Kubernetes
- Bachelor's degree in an engineering related field or equivalent experience
- Experience building LLM inference serving or routing systems such as llm-d, NVIDIA Dynamo, vLLM, SGLang or similar
- Familiarity with KV cache aware routing, prefix caching, prefill/decode disaggregation and accelerator capacity placement
- Experience with TLS, X.509 certificate evaluation or other secure protocols, and awareness of recent developments in standard protocols
- Understanding of cryptographic protocols, encryption, key management and privacy-preserving system design (e.g., Oblivious HTTP, remote attestation)
- Experience leading a substantial engineering project from design through production, resolving technical tradeoffs and coordinating across teams.
- Ability to explain technical tradeoffs, collaborate across engineering teams, and make progress on problems with incomplete requirements.
Skills
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Education-related reimbursement (tuition)
- Discretionary bonuses or commission payments (eligibility varies)
- Relocation assistance (where applicable)
- Apple stock purchase plan eligibility
About Apple
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
More open roles at Apple
- Senior UI Software Engineer, Cocoa3d agoCupertino, CA · Software and Services
- AIML - Machine Learning Engineer, Visual Intelligence Technology3d agoHybrid (Cupertino/Santa Clara/SSeattle area (3 work locations)) · Visual Intelligence Technology
- Physical Design Methodology CAD Engineer3d agoHybrid (Sunnyvale, California), Hybrid (Austin, Texas) +3 more · Hardware Technology CAD team / Silicon Technologies group
- Sr. ML Optimization Engineer, ASE Efficiency3d agoHybrid (San Diego, CA) · Software and Services
- Sr. ML Optimization Engineer, ASE Efficiency3d agoHybrid (Seattle, WA) · Software and Services