Software Engineer AI Jobs in San Diego, CA
Software Engineer AI jobs in San Diego are in strong demand, concentrated in Sorrento Valley, UTC, and Downtown, across defense tech, biotech, and enterprise software. Employers hiring right now include Qualcomm, Booz Allen Hamilton, and Apple. Scan the live roles below and apply to whichever ones fit.
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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.
Description
In this role you'll 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.
","responsibilities":"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 moving through the full project lifecycle from concept to deployment
Collaborate with 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.
Preferred Qualifications
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.
Exposure to multi-tenant platforms that execute user-submitted code, including container image builds, workload isolation, RBAC systems, and secure callback architectures is a plus.
Experience building or integrating agentic AI systems, LLM tool-use patterns, or AI-assisted development workflows.
Exposure to production observability stacks: OpenTelemetry, Prometheus, structured logging, distributed tracing, and dashboarding tools such as Grafana.
Track record of successfully growing engineering projects from initial proof-of-concept to organization-wide production tools.
Strong foundation in Software Engineering fundamentals, including data structures, algorithms, object-oriented design, through school projects or internships.
Experience with computer vision technologies and techniques, especially for segmentation, anomaly detection, and objective grading is a plus.
Minimum Qualifications
B.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field.
Exposure to software engineering through internships, with strong foundation in CS fundamentals, including data structures, algorithms, and exposure to building web applications using Python (FastAPI, SQLAlchemy), TypeScript (React/Next.js), and containerized services on Kubernetes (EKS, Helm, Terraform).
Exposure to applied AI Engineering, building software leveraging GenAI and ML to create production-level solutions to business needs, and enhance organizational and development workflows.
Ability to follow direction from engineering lead for feature scope, ability to collaborate with stakeholders, review and refine requirements, moving project towards completion.
Strong communication and presentation skills, with the ability to articulate technical concepts to diverse audiences while thriving in a fast-paced, evolving environment.
Pay & Benefits
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 $122,700 and $214,300, 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.
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Find Software Engineer AI JobsSoftware Engineer AI Job Market in San Diego
Who's Hiring
- Qualcomm212

- Booz Allen Hamilton71

- Apple24

- Teradata24

- Eli Lilly24

Top Industries Hiring
- Biotechnology & Pharmaceuticals
Software Engineer AI Jobs in San Diego: Frequently Asked Questions
How do I get a software engineer ai job in San Diego?
The strongest path into San Diego's market is targeting the city's defense contractors, biotech firms, and enterprise software companies clustered in Sorrento Valley and UTC. Hands-on experience with machine learning frameworks and familiarity with production deployment gives candidates a clear edge here. Attending local tech meetups and engaging with the UC San Diego and San Diego State University research communities also opens doors that generic applications miss.
Which companies hire software engineer ais in San Diego?
San Diego software engineer ai roles are posted by Qualcomm, Booz Allen Hamilton, and Apple and others right now, based on current listings on Migrate Mate as of September 2026. San Diego's employer mix leans heavily toward defense and government contractors, life sciences companies, and venture-backed software startups, many of them headquartered or with major engineering hubs in the Torrey Pines and Sorrento Mesa corridors.
Are there remote software engineer ai jobs in San Diego?
Yes, software engineer ai work is largely desk-based and well-suited to remote arrangements. About 0% of software engineer ai openings tied to San Diego are remote or hybrid as of September 2026, reflecting how broadly distributed these teams have become. Model development, data pipeline work, and research roles tend to be the most remote-friendly, while on-site requirements show up most often at defense contractors with security clearance obligations.
How can I get a software engineer ai job in San Diego with little or no experience?
The most realistic entry path locally is targeting junior or associate AI engineer roles at San Diego's mid-size software companies and biotech firms, which hire more junior talent than the large defense primes. Contributing to open-source projects, completing a portfolio of applied ML work, and connecting with the UC San Diego Jacobs School of Engineering alumni network all help. Some defense contractors also run structured new-grad programs that accept candidates without prior industry experience.
Which industries hire the most software engineer ais in San Diego?
The sectors hiring the most software engineer ais in San Diego are Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of September 2026. San Diego's concentration of defense technology firms, biotech and genomics companies, and enterprise SaaS startups creates consistent demand for AI engineering talent across all experience levels.
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