Senior Software Engineer, Applied AI, Tools & Infrastructure

Apple • San Diego, CA

13h

About The Position

Full-stack builders, come join a creative engineering team devoted to making our
products more durable through data-driven insights. We're looking for a senior
Applied AI engineer to lead the development of intelligent applications and
systems that unlock the power of our hardware test data and enable hardware
engineers to create their own software tools. In this role, you'll architect and
build scalable software to help take our department's capabilities to the next
level. You'll work with hardware and software engineering teams throughout Apple
to design robust AI/ML applications, implement production-grade software and AI
pipelines, iterate based on evolving requirements, and provide input on
technical strategy. The tools and platforms you build will power processes,
analytics, and workflows that directly influence the design of future products.
This is a hands-on work environment where engineers are expected to be
self-motivated and proficient with a wide range of AI/ML technologies, while
dedicating time to leading contractors, driving projects forward, presenting to
executive leadership, and delivering excellent solutions for Apple.

DESCRIPTION

In this role you'll architect and implement AI/ML software applications at
cloud-scale for the Reliability department at Apple. You’ll provide technical
leadership and bridge the gap between business needs and production software,
delivering tools that automate workflows and surface novel insights for the
organization.

Requirements

• B.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field 6+ years software engineering experience with strong foundation in CS fundamentals, including data structures, algorithms, and proficiency building production web applications using Python (FastAPI, SQLAlchemy), TypeScript (React/Next.js), and cloud-scale containerized services on Kubernetes (EKS, Helm, Terraform)
• 2+ years experience with applied AI Engineering, building software leveraging GenAI and ML to create production-level solutions to business needs, and enhance organizational and development workflows
• Demonstrated leadership experience with the ability to lead contractors, mentor peers, and manage technical resources effectively
• Proven ability to drive projects independently: defining scope, collaborating with stakeholders, negotiating requirements, and driving projects to completion
• Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences and influence decision-making while thriving in a fast-paced, evolving environment

Nice To Haves

• M.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field
• Passion for quality and attention to detail; proactive in researching and assessing emerging technologies (AI/ML models, protocols, and techniques), and integrating them into production
• Deep expertise in Kubernetes networking (NetworkPolicies, ingress, service mesh, sidecars, pod-to-pod TLS), particularly in enterprise environments with corporate proxies and WAFs
• Strong experience building multi-tenant platforms that execute user-submitted code, including container image builds, workload isolation, RBAC systems, and secure callback architectures
• Experience building or integrating agentic AI systems, LLM tool-use patterns, or AI-assisted development workflows
• Experience with production observability stacks: OpenTelemetry, Prometheus, structured logging, distributed tracing, and dashboarding tools such as Grafana
• Track record of successfully growing the scope of engineering projects from initial proof-of-concept to organization-wide adoption
• 6+ years experience and strong foundation in Software Engineering fundamentals, including data structures, algorithms, object-oriented design, and proficiency in building production-quality applications
• Experience with computer vision technologies and techniques, especially for segmentation, anomaly detection, and objective grading is a plus

Responsibilities

• Architect and implement AI/ML software applications at cloud-scale
• Provide technical leadership
• Bridge the gap between business needs and production software
• Deliver tools that automate workflows and surface novel insights for the organization

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level