Role at a glance
- Job function
-
Software Engineering & IT Backend Engineering
- Salary
- $150.4K – $277.6K/yr
- Location
- Cupertino, California, United States
- Experience
- 7+ years of experience as distributed systems engineer, platform engineer or equivalent.
- Education
- MS in computer science or equivalent
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Role Summary
This Systems Engineer - Evaluation Engineering role is a Distributed Systems Engineer position on the Siri Agentic Evaluation Platform, owning the infrastructure that runs agentic simulations, multi-model judging pipelines, and real-time observability dashboards. The work centers on an execution engine that coordinates evaluation loops across heterogeneous device types while remaining deterministic, fault-tolerant, and cost-efficient.
What You'll Do
- Architect and scale the core asynchronous engine that orchestrates thousands of parallel agent simulations, validation tests, and...
- Design and build self-service infrastructure, CLI tools, and internal APIs that let ML and product teams integrate evaluation pipelines...
- Design, build, and maintain type-safe APIs (gRPC/REST) for serving evaluation pipelines, trace data, and real-time generation metrics.
- Build data pipelines that ingest and transform high-volume execution traces and maintain immutable data lineage for error attribution.
- Own deployment topologies of the evaluation platform across multi-tenant clusters using declarative infrastructure and continuous...
- Implement distributed tracing, structured metrics, alerting, smart scheduling, token buckets, and circuit breakers to prevent...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- MS in computer science or equivalent
- 7+ years of experience as distributed systems engineer, platform engineer or equivalent
- Systems & Backend Languages: Strong proficiency in languages optimized for concurrency and enterprise scale, such as Python (asyncio) or...
- API Design & Ecosystems: Deep expertise in designing robust, versioned production APIs using gRPC/Protobuf, GraphQL, or REST (FastAPI).
- Cloud Native Architecture: Advanced experience with Kubernetes (orchestration, custom operators, service meshes like Istio or Linkerd)...
Preferred
- Relational & Analytical Databases: Strong experience modeling complex relational data and trace hierarchies using PostgreSQL, combined...
- Orchestration & Messaging: Experience designing asynchronous, event-driven architectures using Kafka, AWS SQS/SNS, RabbitMQ, or Redis...
- Experience building Agentic RAG platforms or developer-facing infrastructure tooling.
- Infrastructure-as-Code (IaC): proficiency with Terraform to manage infrastructure declaratively.
- CI/CD & DevEx: Experience building automated, containerized deployment pipelines (GitHub or ArgoCD) with an emphasis on keeping...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
Siri Agentic Evaluation Platform. Evaluation is no longer just a static test suite—it is a highly dynamic, massive-scale distributed problem. Our platform enables teams to run high-throughput agentic simulations, orchestrate multi-model judging pipelines, and generate real-time observability dashboards across billions of tokens and complex data types.
Description
We are looking for a Distributed Systems Engineer to own the infrastructure powering our core
In this role, you will design the execution engine that coordinates these complex evaluation loops. You will build systems that remain deterministic, fault-tolerant, and cost-efficient, even when coordinating massive parallel requests across heterogeneous device types(iPhones, Mac, iPads etc).
Responsibilities
Distributed Execution Engine: Architect and scale the core asynchronous engine responsible for orchestrating thousands of parallel agent simulations, validation tests, and LLM-as-a-judge pipelines.
Internal Developer Platform (IDP): Design and build self-service infrastructure, CLI tools, and internal APIs that allow ML and product teams to easily integrate evaluation pipelines into their CI/CD workflows.
Backend API & Service Architecture: Design, build, and maintain highly performant, type-safe APIs (gRPC/REST) capable of serving complex evaluation pipelinee, trace data, and real-time generation metrics.
Stream Processing & Lineage: Build robust data pipelines to ingest and transform high-volume execution traces. Ensure immutable data lineage so that every evaluation metric can be perfectly traced back to its raw generation for granular error attribution.
Infrastructure-as-Code & GitOps: Own the deployment topologies of the evaluation platform across multi-tenant clusters using declarative infrastructure and continuous delivery practices.
Reliability, Observability & Guardrails: Implement deep observability (distributed tracing, structured metrics, and alerting) across the platform. Design smart scheduling layers, token buckets, and circuit breakers to prevent downstream API rate-limiting or cascading cluster failures.
Minimum Qualifications
MS in computer science or equivalent
7+ years of experience as distributed systems engineer, platform engineer or equivalent.
Systems & Backend Languages: Strong proficiency in languages optimized for concurrency and enterprise scale, such as Python (asyncio) or Java.
API Design & Ecosystems: Deep expertise in designing robust, versioned production APIs using gRPC/Protobuf, GraphQL, or REST (FastAPI).
Cloud Native Architecture: Advanced experience with Kubernetes (orchestration, custom operators, service meshes like Istio or Linkerd) and cloud providers (AWS, GCP, or Azure).
Preferred Qualifications
Relational & Analytical Databases: Strong experience modeling complex relational data and trace hierarchies using PostgreSQL, combined with high-throughput analytical query layers.
Orchestration & Messaging: Experience designing asynchronous, event-driven architectures using Kafka, AWS SQS/SNS, RabbitMQ, or Redis Streams.
Experience building Agentic RAG platforms or developer-facing infrastructure tooling.
Infrastructure-as-Code (IaC): proficiency with Terraform to manage infrastructure declaratively.
CI/CD & DevEx: Experience building automated, containerized deployment pipelines (GitHub or ArgoCD) with an emphasis on keeping developer feedback loops fast and reliable.
Pay & Benefits — Cupertino, California, United States
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.