ai jobs in San Diego

A forward-deployed engineer who builds and deploys AI/GenAI-powered solutions on Databricks and cloud platforms for forensic discovery and financial crime clients. The role requires hands-on expertise in Databricks, cloud services (AWS/Azure/GCP), and production AI/LLM systems, combined with the ability to lead client engagements, translate business requirements into technical architectures, and troubleshoot integration issues across enterprise environments.…See more You will design reusable assets, document workflows, and enable client teams to sustain delivered solutions while navigating security, compliance, and privacy reviews.

AMD seeks a security engineer to implement, validate, and secure AI platform features on internal test hardware and customer systems. The role spans hardware, firmware, and software security—including secure boot, attestation, key/certificate management, vulnerability analysis, and fix development and verification.…See more You will conduct security assessments, develop tooling and automation for testing and remediation, and partner across architecture, firmware, and software teams. The position requires proficiency in C/C++ and scripting languages, deep platform security knowledge (cryptography, memory safety, isolation, trusted execution environments), and experience with AI/ML infrastructure security.

AMD is seeking an AI Systems Security Architect to drive system-wide threat modeling and security analysis across hardware, firmware, and software platforms. The role involves designing secure debug architectures, writing platform security specifications, and leveraging AI-assisted engineering tooling to accelerate security analysis.…See more The ideal candidate has deep expertise in computer architecture, confidential computing, root of trust, boot chain architecture, firmware security, cryptography, and threat modeling at platform scope, with proficiency in C/C++ and experience securing AI/ML workloads at datacenter scale.

Sr. Engineer responsible for designing, building, and deploying production-grade AI platforms and solutions centered on LLMs, RAG, and agentic workflows.…See more The role spans full-stack development—from backend services and APIs to cloud-native infrastructure on Kubernetes—with emphasis on enterprise search, retrieval optimization, and AI application integration. Must have strong programming skills across Python, Java, C#/.NET, Rust, TypeScript/JavaScript, and proven experience architecting and operating scalable, production-ready AI systems.

Senior Staff Inbound Product Manager responsible for owning the roadmap, vision, and requirements for conversational AI features within ServiceNow's AI platform. The role requires translating customer feedback into product improvements, guiding product strategy across multiple teams, and steering the development of AI features including disambiguation, clarification, document/multimodal experiences, slot filling, feedback intelligence, and fallback handling.…See more Success requires 12+ years of enterprise product management experience, deep knowledge of conversational AI, generative AI, and agentic systems, plus hands-on experience with AI evaluation, prompt engineering, retrieval systems, and knowledge bases. The person will create PRDs, define testing and quality requirements, support strategic customers through pilots and go-lives, and coordinate dependencies across engineering and design teams.

Qualcomm seeks a Computer Vision Engineer to develop machine learning algorithms for optical flow, depth estimation, visual tracking, SLAM, and 3D reconstruction on Snapdragon platforms. You will own end-to-end algorithm development—from training state-of-the-art neural networks and managing large datasets to optimizing and deploying models on-device for real-time performance.…See more The role requires deep expertise in ML model architecture, hardware/software optimization, and the ability to analyze performance bottlenecks across Qualcomm's hardware/software stack. You will serve as a technical leader, influencing system architecture, working with hardware teams on silicon design, and driving solutions from research through production.

The AI SW Integration Engineer will develop backend tools and services that automate test generation, improve requirements traceability, and streamline engineering workflows across teams. The role requires strong expertise in generative AI and large language models (LLMs), with hands-on experience designing and deploying agentic AI systems end-to-end.…See more You will integrate tools and databases via REST APIs, parse structured documents, and build automation solutions using Python and CI/CD pipelines. The ideal candidate brings 3–5 years of production experience developing automation or integration tools, plus familiarity with RAG, MCP, and requirements management workflows.

Senior Principal Platform Architect at ServiceNow responsible for translating enterprise customer business objectives into technical solutions and architectural blueprints. The role involves advising on platform health, governance, and leading large-scale implementations across cloud-based systems while positioning ServiceNow as a system of action.…See more Requires 5+ years of large program experience, enterprise architecture background, and deep expertise in cloud platforms (AWS, Azure, Salesforce, Workday, Oracle Cloud), with strong executive communication and consulting leadership experience.

Design and develop modem software for 5G NR connectivity across Snapdragon chipsets, using C/C++ and custom scripting languages to dynamically reconfigure modems in response to real-time network conditions and AI-driven signals. Architect next-generation frameworks enabling OEM and operator partners to deliver differentiated 5G experiences.…See more The role requires strong embedded systems fundamentals, real-time systems knowledge, and familiarity with wireless protocol stacks and machine-learning optimization concepts.

Design and develop machine learning models for computer vision domains including optical flow, depth estimation, visual tracking, SLAM, and 3D reconstruction on Qualcomm Snapdragon platforms. Own end-to-end algorithm implementation from research through production deployment, including training pipeline development, dataset creation, model optimization, and on-device performance tuning.…See more Lead technical direction across projects, influence system-level architecture, and partner with hardware engineers on silicon design. Requires 6+ years of software/hardware/systems engineering experience (or equivalent with Master's/PhD) and demonstrated expertise in on-device ML deployment, neural network optimization, and computer vision algorithm development.

Principal System Lead responsible for translating AI-driven use cases into scalable, power-efficient implementations on Qualcomm's mobile SoCs. The role spans the full AI stack—generative AI, diffusion models, on-device inference, and camera-centric workloads—requiring deep knowledge of AI software frameworks and optimization across performance, latency, memory, and power constraints.…See more You will define system-level architectural enhancements for AI accelerators, CPUs, GPUs, and memory subsystems, working across hardware, software, and platform teams to align designs with OEM product roadmaps. The position demands 8+ years of semiconductor product development experience, 5+ years in technical leadership, and strong ability to solve complex AI system challenges through quantitative analysis and cross-functional collaboration.

Lead end-to-end UX design for Resmed's Virtuox diagnostic platform, translating complex clinical and operational workflows into intuitive user experiences. You'll design data-heavy interfaces (queues, tables, filtering, exception handling), create wireframes and prototypes, and collaborate across Product, Engineering, Clinical, and Compliance teams.…See more The role emphasizes systems thinking, accessibility, and identifying opportunities where AI can improve workflow efficiency. You'll mentor fellow designers and work within regulated healthcare environments.

Design and develop the end-to-end compilation pipeline for Qualcomm AI Hub Workbench, enabling PyTorch and ONNX models to compile into deployable artifacts targeting LiteRT, ONNXRuntime, and QAIRT across Snapdragon SoCs. Own graph optimization, backend dispatch across CPU/GPU/NPU, model catalog validation, and automated CI/CD pipelines for on-device ML deployment.…See more Requires 4+ years of software/hardware/systems engineering experience and proficiency in Python and C++, with preferred expertise in ML compiler infrastructure, MLIR/ONNX/TVM, torch.export, and on-device frameworks.

Design, implement, and troubleshoot AI/LLM-enabled software solutions for Navy cyber missions, including scripts, services, APIs, and automation workflows. Integrate systems across REST/HTTP APIs, relational and NoSQL data stores, and cloud or enterprise environments while respecting RMF controls and secure engineering practices.…See more Translate mission and security requirements into concrete technical tasks, deliver hands-on code in Python, and communicate trade-offs to both technical and non-technical stakeholders. Work in small Agile teams using Git and code review practices, with mentorship to reduce cyber risk across fleet and ashore enterprise.

Senior Machine Learning Engineer to design and ship production voice and conversational AI agents within AppFolio's Realm-X platform. You will architect real-time, multi-turn agent pipelines that balance reasoning depth against latency, lead a small pod of ML and platform engineers, and define quality metrics and evaluation harnesses.…See more Required expertise includes shipped production experience with agent frameworks (LangChain, LangGraph), voice stacks (STT/TTS/Voice-to-Voice models), LLM reasoning and tool use, Twilio, AWS, expert Python with async and WebSocket streaming, and demonstrated team leadership.

Build applied AI systems for Crucible, Firestorm's manufacturing operations software. You'll productionize ML and optimization models, integrate foundation models and LLMs into workflows, and design end-to-end AI capabilities—from model selection and evaluation through reliable production deployment across cloud, air-gapped, and edge environments.…See more This is a hands-on engineering role requiring 5+ years shipping production ML/AI systems, strong Python and software engineering fundamentals, and deep experience with LLMs, transformer models, and production ML monitoring.

Design, develop, and optimize modem firmware and software for 5G-Advanced and early 6G protocol stacks on Qualcomm's Snapdragon chipset. Work across L1/L2/L3 protocol layers to implement 3GPP-compliant features, develop real-time scheduling and resource management algorithms, and use custom scripting to dynamically reconfigure modems based on network conditions and AI-driven signals.…See more Requires strong C/C++ embedded systems expertise, real-time OS experience (RTOS), wireless communication principles, and the ability to debug complex field issues and optimize performance in latency-critical environments.

Design and deliver AI architecture solutions across the ServiceNow platform, translating customer requirements into scalable blueprints and proof of concepts. Lead technical deep-dive sessions, architect end-to-end integrations, and develop reusable reference architectures and industry patterns.…See more Requires 7+ years in architecture or pre-sales engineering roles with deep ServiceNow platform mastery, including data models, workflows, integration hub, scripting, and security frameworks.

Full-time software engineer to design, develop, and test AI-assisted web-based applications that integrate with custom embedded systems. The role requires proficiency in multiple programming languages (Python, JavaScript/TypeScript, Go, C/C++, Rust, C#), Linux systems, web-based UI development, and network software engineering (TLS/HTTPS).…See more Responsibilities include writing requirements and specifications, executing tests, and interfacing with customers on requirements and design reviews. Must be U.S. citizen able to obtain and maintain a DoD security clearance.

Senior Software Engineer role focused on building and scaling full-stack client and internal servicing applications for millions of homeowners. You'll own features end-to-end—from problem definition through design, implementation, deployment, and iteration—using AI as a core part of the development workflow.…See more The role requires 5+ years of production full-stack experience with Next.js/React front ends, NestJS GraphQL integration, and AWS/EKS infrastructure. You'll work across distributed teams, mentor engineers, and help define AI-native engineering practices.

Design, develop, and optimize modem firmware and real-time embedded software for 5G/6G protocol stacks (L1/L2/L3) on Qualcomm's Snapdragon chipset, implementing 3GPP-compliant features and real-time scheduling algorithms. Work across protocol layers to develop adaptive algorithms that respond to network conditions and AI-driven optimization signals, and architect frameworks enabling OEM and operator partners to deliver differentiated wireless experiences.…See more Debug complex field issues using protocol logs and trace tools, write and maintain unit and integration tests, and collaborate with systems, architecture, and hardware teams on modem bring-up and performance optimization. Requires strong C/C++ foundation, deep wireless communication principles knowledge, embedded systems expertise, and familiarity with real-time operating systems.

Staff Software Engineer role leading technical strategy and architecture for TurboTax and Tax Experiences products at Intuit. You'll drive end-to-end technology initiatives across customer-facing and backend systems, architecting highly scalable applications that handle massive seasonal traffic while integrating AI capabilities like intelligent guidance and document extraction.…See more Responsibilities include setting technical direction, mentoring engineers, designing resilient distributed systems, and collaborating cross-functionally with product, design, data science, and compliance teams to solve complex tax fintech problems at scale.

A Forward Deployed Data Engineer will lead discovery workshops with North American fleet management customers to understand their business problems, then translate those into scoped data, analytics, and AI solutions. You'll own engagements end-to-end—from scoping and estimation through prototype development and delivery—working closely with Sales, Product, and Engineering.…See more The role requires 5+ years of hands-on data engineering or analytics engineering, strong SQL and Python skills, depth with Snowflake or equivalent cloud data warehouse, dbt or similar transformation frameworks, and proven ability to present technical findings to executive stakeholders.

Principal Software Engineer role on Qualcomm's Cloud AI team focused on LLM serving and inference acceleration. The engineer will design, optimize, and deploy high-performance software across the product lifecycle, from R&D through commercial deployment, with expertise in serving frameworks (vLLM), PyTorch, neural network optimization, and multi-core/SoC architecture performance modeling.…See more Strong C++/Python development skills, deep LLM/multi-modal model understanding, and experience with machine learning accelerators are required; experience with compiler technology, performance analysis, and commercial software delivery at scale is essential.

Qualcomm seeks an embedded software engineer to design, develop, and validate real-time sensors software for mobile and IoT devices. You will architect scalable, high-performance systems integrating sensors, audio, location, camera, and connectivity technologies, working cross-functionally with hardware and systems teams.…See more The role requires proficiency in C/C++, embedded RTOS, Linux/Android, and software debugging tools, with potential contributions in digital signal processing, machine learning, and AI. You will manage complex projects independently, optimize performance, and produce technical documentation while ensuring architectural decisions align with business and technical requirements.