claude jobs in San Diego

Build and ship agentic AI capabilities (e.g., Vertex AI-based Discovery Agents) from design through production, owning the full software development lifecycle, implementation, testing, and deployment. Harden proof-of-concept agent code into production-grade quality with strong error handling, observability, and testing.…See more Design test cases and evaluation checks for non-deterministic agent behavior, and build data ingestion pipelines using AWS and big-data tooling. Contribute to production support including monitoring, alerting, and incident response for an AI-driven service.

Design, develop, and validate embedded software and applications for cutting-edge Qualcomm products, collaborating with systems, hardware, and architecture teams. The role requires 2+ years of software engineering experience and proficiency in C/C++, with expertise in embedded processors, board support, peripheral control, and embedded development tools.…See more Preferred candidates will have 5+ years in embedded software development, experience with FreeRTOS, Embedded Linux, Android, GNSS receivers, and 3GPP protocols, plus hands-on familiarity with AI code-assist tools in resource-constrained environments.

Design, build, and deploy production agentic AI solutions powered by Claude for enterprise clients, from proof-of-concept through production. Implement multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails.…See more Modernize existing AI/ML platforms with generative AI capabilities including RAG and agent-based orchestration. Advise clients on generative AI adoption strategy, responsible AI practices, and model selection while partnering with technology, data, and business stakeholders to scope and deliver solutions.

Senior software engineer responsible for designing, developing, and maintaining cloud-based backend systems and data pipelines for medical device software at Dexcom. You'll build distributed systems, APIs, and ETL/ELT pipelines that ingest and transform large-scale data, integrate AI insights, and serve internal systems and external partners.…See more The role requires 5–8 years of experience with general-purpose programming (Java/Kotlin/Scala preferred), cloud platforms (AWS/Azure/GCP), CI/CD, and data platform architecture, with mentorship of junior engineers expected.

Senior Wireless Software Engineer role focused on embedded systems and real-time firmware development for DSP and Arm architectures. Requires deep expertise in modern C/C++, operating systems internals (RTOS), data structures, and embedded debugging techniques.…See more The role uniquely emphasizes AI-native engineering practices, including using AI coding assistants and agentic tools to augment the development workflow, managing AI-assisted code generation and test synthesis, and critically evaluating AI output for safety and correctness in real-time constraints.

A full-stack Python and React engineer will build and maintain features for a Threat Ops security platform, including migrating legacy forms, integrating AI assistants via the MCP standard, and replacing a Slack-based defect workflow with a Jira-backed templated reporter. The role requires shipping customer-facing improvements independently on well-scoped tickets, debugging and deploying services, and participating in code reviews within an existing team's roadmap.See more

Design, build, and operate production-quality agentic AI systems and developer tooling at scale. Lead multi-agent orchestration, Model Context Protocol (MCP) integration, prompt engineering for structured output, and CI/CD automation for code review and testing.…See more Partner with engineering teams on discovery, rapidly prototype and validate capabilities, then own the full lifecycle from implementation through production monitoring. Mentor engineers on agentic design patterns and communicate technical tradeoffs to stakeholders.

Senior Software Engineer responsible for designing and communicating architectural decisions across technical and non-technical teams at a healthcare technology company. Will reduce technical debt, improve developer experience, provide code and design reviews, and mentor engineers in AI-enabled development practices.…See more Requires 8+ years of software engineering experience with strong fundamentals in production systems, APIs, distributed systems, cloud-native applications, CI/CD, and observability. Should demonstrate leadership in technical initiatives, influence without formal authority, and hands-on proficiency with AI-assisted development tools while maintaining code quality accountability.

Senior Staff Technical Data Analyst responsible for data exploration, quality assessment, and governance across Finance Technology initiatives, including AI/ML pipelines and SOX-compliant financial reporting. Design and build end-to-end BI solutions using SQL, Python, Qlik, Databricks, and Tableau while identifying where GenAI and agentic approaches can modernize financial controls, anomaly detection, and self-service analytics.…See more Partner with Finance stakeholders (FP&A, Accounting, Revenue) to translate business requirements into technical solutions, and mentor junior analysts on craft standards for data quality and documentation. Requires 10+ years in data analytics or BI supporting Finance, Accounting, or regulated compliance functions, with proven expertise in cloud data platforms, data governance frameworks, SOX controls, and active hands-on experience with generative AI tools.

Design, develop, and validate embedded and cloud edge software for cutting-edge Qualcomm products. Collaborate with systems, hardware, and architecture teams to build system-level software solutions.…See more Requires 2+ years of software engineering experience with proficiency in C, C++, Java, or Python, and knowledge of embedded processors, development tools, and operating systems like FreeRTOS, Embedded Linux, or Android.

Design, develop, and validate embedded and cloud edge software for next-generation Qualcomm products. Work with systems, hardware, and architecture teams to build system-level software solutions, with hands-on experience in embedded processors, firmware development, and operating systems like FreeRTOS, Embedded Linux, and Android.…See more Requires 2+ years of software engineering experience and proficiency in C/C++ with familiarity in Python and shell scripting. Preferred experience includes GNSS/location-based systems, 3GPP protocols, and AI code-assist tools in resource-constrained environments.

Peraton seeks undergraduate and graduate software engineering co-ops to build and prototype software for San Diego County departments from January through August 2027. You'll write code using Python or Java, apply modern AI tools and AWS cloud services, and contribute to real projects modernizing public-sector services through rapid prototyping.…See more The role requires object-oriented programming experience and Git version control, with exposure to generative AI APIs, AWS services (Bedrock, CodeCommit, Lambda), and agile tools like JIRA considered valuable.

Design, implement, and optimize real-time embedded modem firmware across protocol layers and drivers while meeting strict latency, memory, and power constraints. You will own end-to-end feature delivery from requirements through on-target bring-up, apply rigorous data-structure and algorithm design, and pioneer AI-native development practices by integrating AI coding agents, LLM-based code review, and automated test synthesis into daily workflows.…See more Debug complex multi-layer issues on target hardware using JTAG, logic analyzers, and AI-assisted log/crash analysis. Mentor peers on embedded fundamentals and AI-native engineering techniques while contributing to design reviews and engineering standards.

Design, develop, and validate embedded and cloud edge software for cutting-edge Qualcomm products. You will work on embedded processors, board support, peripheral control, and operating systems (FreeRTOS, Embedded Linux, Android), with a focus on GNSS receivers and location-based systems using 3GPP protocols.…See more Requires 5+ years of embedded software development experience in C/C++, understanding of processor architecture and embedded debugging tools, and hands-on collaboration with systems, hardware, and test engineers.

Lead a workplace engineering transformation program for enterprise clients using Microsoft 365, Active Directory, Entra ID, and endpoint management technologies. Design and implement large-scale migrations, lead cross-functional teams through deployment workstreams, and advise on AI-enabled workplace solutions including Copilot and enterprise AI platforms.…See more Manage project deliverables, coordinate adoption initiatives, and optimize end-user experience through automation and intelligent tooling. Requires 6+ years of workplace engineering experience, 3+ years of program/project management, and demonstrated ability to lead teams through enterprise-scale implementations.

This role involves conducting comprehensive security assessments of AI systems and deployments, evaluating them against NIST frameworks (AI RMF, CSF, 800-53, 800-171) and other security standards. The consultant will identify AI-specific risks such as prompt injection, model misuse, data leakage, and supply-chain vulnerabilities across cloud platforms (AWS, Azure, hybrid).…See more Responsibilities include developing AI governance frameworks, policies, and controls; assessing AI development environments, model pipelines, APIs, and orchestration layers; and delivering executive-level recommendations and remediation roadmaps. Requires 7+ years of cybersecurity/consulting experience and 3+ years supporting AI/machine learning security initiatives, with strong expertise in AI threat modeling, secure AI deployment, and governance frameworks.

Lead a technical program across 55+ production services while personally designing and building AI-agent-driven automation to streamline operational processes. You'll own program execution (scope, milestones, cross-functional coordination, executive reporting) alongside hands-on delivery of automation solutions including ticketing, reconciliation, telemetry, and workflows.…See more The role requires 7+ years of technical program management in platform/infrastructure environments plus proven ability to personally ship automation (API integrations, dashboards, AI-agent tools). You'll establish AI governance, validation controls, and human-in-the-loop processes to ensure automation is reliable, auditable, and maintainable.

Build and scale evaluation tooling to measure how well AI-powered software development tools perform. Develop evaluation harnesses, automate benchmark runs, and ensure reproducibility through versioned processes with pinned dependencies and containerized environments.…See more Validate evaluation approaches against human judgment, analyze results for variance and failure patterns, and work with engineering teams to improve automation workflows. This role requires strong software engineering foundations in automation and testing, hands-on experience with AI coding agents, and proficiency in Python, Java, or JavaScript.

The Jr. Commercial QC & AI Automation Analyst executes first-line quality control reviews for Commercial Lending programs while building hands-on skills with AI-assisted and automated review tooling.…See more The role involves testing and validating automated workflows built in Claude, Claude Skills, Claude Code, and n8n; translating manual review checklists into structured review logic; and documenting processes and automation outcomes. The candidate will support business process analysis, help design AI-augmented workflows, and grow into greater automation ownership as skills develop. Requires a Bachelor's degree, 0–2+ years in QA/audit/operations/business analysis, strong analytical and documentation skills, comfort with GenAI tools, and preferably exposure to scripting, programming, or low-code automation platforms.

This entry-level backend software engineer role involves designing, developing, and maintaining microservices and APIs for Qualcomm's Compute Sentra SaaS platform, which powers device management and IoT security. You will implement REST APIs, event listeners, and data models in object-oriented languages (Java, Kotlin, C#), work with relational databases and SQL, and deploy services to cloud environments.…See more The role includes code reviews, testing, debugging, and cross-functional collaboration with product and QA teams, with exposure to modern AI-assisted development tools.

Senior Software Engineer role focused on building scalable payment infrastructure and banking integrations. Responsibilities include designing and implementing core platform services and APIs, building secure integrations with financial institutions, ensuring high availability and system reliability, and collaborating across teams on fintech solutions.…See more Requires 5+ years of backend systems experience with strong proficiency in Java, Spring, Kubernetes, microservices architecture, and cloud platforms (AWS, GCP, or Azure), plus understanding of payments processing, financial compliance, and security best practices.

Design, build, and operate enterprise-scale Databricks lakehouse platforms for a global semiconductor company. Lead AI-native development practices, machine learning enablement, and AIOps automation while mentoring engineering teams and establishing technical standards.…See more Drive platform modernization, cloud-native practices, and intelligent data/AI infrastructure at scale. Requires 4–5 years of hands-on Databricks experience, strong Python/SQL/Spark skills, MLOps expertise, and proven technical leadership.

Chief AI Subject Matter Expert leading the development of intelligent data processing pipelines, NLP systems, and AI-enabled dashboards for defense applications. The role requires 15+ years of experience with generative AI, LLMs, and agent-based development workflows, including hands-on use of tools like GitHub Copilot and Claude for code generation and automation.…See more Responsibilities include prototyping emerging AI tooling, mentoring engineering teams on AI integration, designing secure production AI solutions, and identifying opportunities to accelerate the software lifecycle through AI and automation. Must demonstrate expertise in LLM APIs, RAG architectures, vector databases, prompt engineering, and AI-specific security considerations in classified/sensitive environments.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Build and scale evaluation harnesses and automation for AI-powered software development tools, turning real engineering artifacts into repeatable benchmark tasks. Develop versioned, reproducible processes with containerized environments to measure AI tool performance across quality, productivity, and efficiency metrics.…See more Validate evaluation approaches against human judgment, analyze results for variance and failure patterns, and work with engineering and data teams to improve tooling and document findings.