Software Engineer, Applied AI, Tools & Infrastructure
Apple
Software Engineering, Other Engineering, Data Science
Cupertino, CA, USA
Posted on Mar 17, 2026
Full-stack builders, come join a creative engineering team devoted to making our products more durable through data-driven insights. We're looking for an Applied AI engineer to develop 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 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 supporting contractors, driving projects forward, presenting to leadership, and delivering excellent solutions for Apple.
In this role you'll architect and implement AI/ML software applications at cloud-scale for the Reliability department at Apple. You’ll bridge the gap between business needs and production software, delivering tools that automate workflows and surface novel insights for the organization.
- Implement robust, full-stack GenAI-oriented applications using modern software engineering best practices, including a Python/FastAPI backend, a React/Next.js TypeScript frontend, AWS RDS and ElastiCache data stores, and containerized deployments on AWS EKS with Helm and Terraform
- Extend and maintain a multi-tenant EKS platform that enables users to build, deploy, and run their own applications in Kubernetes pods, with integrated build pipelines, sidecars, and session-affinity reverse proxy at 5,000+ pod scale
- Design and integrate GenAI capabilities into the platform, including agentic workflows, AI agent skills, LLM-powered web features, and production-grade inference pipelines
- Drive the scope of engineering projects independently, identifying new opportunities, defining requirements, and moving through the full project lifecycle from concept to deployment
- Assist technical leads with guiding a team of external contractors, providing code reviews and support to ensure fast, high-quality delivery
- Implement and operate production observability with OpenTelemetry tracing, Prometheus metrics, and structured logging to ensure application reliability and performance
- Cultivate strong partnerships across engineering and business teams, acting as both a visionary and translator between software and non-software audiences
- Tailor communication and presentations to multidisciplinary audiences while delivering regular updates on project implementation
- B.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field
- 3+ 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
- Proven ability to drive projects independently: defining scope, collaborating with stakeholders, working with leadership to define requirements, and moving projects toward completion
- Strong communication and presentation skills, with the ability to articulate technical concepts to diverse audiences while thriving in a fast-paced, evolving environment
- 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
- 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
- Leadership experience with the ability to lead contractors and mentor peers
- 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
- 4+ 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
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.