ai jobs in San Diego

Lead product strategy and roadmap for AI-centric data center platforms and rack-level systems, including compute nodes, interconnect fabrics, power delivery, and cooling. Define system-level requirements by collaborating with silicon architects, systems engineers, and software teams while engaging directly with hyperscale and enterprise customers to gather feedback and drive early deployments.…See more Track product performance post-launch across system metrics like power efficiency and thermal headroom, and mentor a high-performing product management team.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.

As a Staff Machine Learning Engineer focused on model optimization, you will create and implement ML techniques, frameworks, and tools enabling efficient discovery and deployment of state-of-the-art ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, develop optimized inference/training software and compiler tools, and collaborate with cross-functional teams on joint hardware-software design.…See more The role requires 4+ years of hardware/software/systems engineering experience (or equivalent with advanced degree), deep expertise in ML frameworks (TensorFlow, PyTorch, Keras, Caffe), embedded systems optimization, and programming languages like Python or C++. You will work independently with minimal supervision, provide technical guidance to team members, and influence key organizational decisions through consultation with senior leadership.

Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training, validation, and performance optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) for radar data analysis and optimize models for real-time embedded deployment under latency, memory, and power constraints.…See more Bridge research and production by translating state-of-the-art ML techniques into scalable algorithms for radar-based detection, classification, and tracking, with strong requirements in signal processing, statistical analysis, and Python/PyTorch/TensorFlow proficiency.

Lead and manage a team of IT engineers while driving the design, development, and implementation of IT infrastructure, systems, and applications. Ensure IT solutions align with company objectives, maintain engineering standards and policies, and optimize system performance and security.…See more Collaborate cross-functionally to understand IT requirements and evaluate emerging technologies for adoption. Monitor vendor relationships, manage contracts, and lead initiatives to enhance IT capabilities and competitiveness.

The Senior Security AI Risk Analyst will assess and secure AI-enabled systems at Sony Interactive Entertainment, identifying material security risks, control gaps, and data classification issues. The role requires translating findings into actionable recommendations, partnering with Responsible AI & Governance and security teams, and maintaining a portfolio view of emerging AI security trends.…See more Candidates must have 6+ years securing technical systems with recent hands-on generative AI experience, strong knowledge of modern AI stacks, and the ability to interrogate designs, trace data flows, and identify security weaknesses in LLM and agentic systems. The position demands both deep security fundamentals (identity, permissions, data protection, monitoring) and a practical builder mindset to use tooling, APIs, and automation to explore and improve systems.

Design and develop performance modeling platforms and tools for Qualcomm's AI/ML hardware accelerators targeting cloud data server applications. Analyze and optimize LLM and AI workloads on SoC architectures, working across hardware architecture, DDR memory controllers, NoC design, and compiler frameworks.…See more Collaborate with multi-disciplinary hardware and systems engineers to find optimal architecture tradeoffs and improve performance and power efficiency. Apply deep expertise in AI workloads, ML frameworks, computer architecture, and RTL design/verification to build systems that validate LLMs and complex ML networks.

Lead and manage a team of IT engineers while driving the design, implementation, and maintenance of IT infrastructure, systems, and applications. Responsibilities include planning scalable and secure IT solutions, collaborating across departments to understand technical requirements, evaluating emerging technologies, establishing engineering standards and procedures, monitoring system performance, and managing vendor relationships.…See more Requires 5+ years of IT engineering experience with a focus on system design and infrastructure management, plus 2+ years in a leadership/managerial role.

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.