ai jobs in San Diego

Lead development of scalable SaaS features for clinical trial platforms, owning delivery from ideation through release. js, while mentoring engineers and establishing engineering best practices.…See more ypeScript, Python, React, and Node.js, while mentoring engineers and establishing engineering best practices. Design relational schemas and integrate with cloud platforms (Azure, AWS, GCP); AI/LLM integration is a plus. Requires 7+ years building distributed, multi-tenant software products.

Build and optimize scalable LLM inference platforms at Qualcomm's Cloud AI team, implementing advanced serving techniques like KV-cache management, speculative algorithms, and model optimization. Contribute to production serving frameworks (vLLM, SGLang, Triton, TGI) and work with customers on deployment solutions.…See more Collaborate with compiler, firmware, and platform teams to drive efficient serving through autoscaling, load balancing, and routing. Requires deep understanding of transformer architectures, strong PyTorch and Python skills, computer architecture knowledge, and hands-on experience profiling and optimizing deep learning workloads.

Lead product strategy and roadmap for Intuit's next-generation Agentic AI Platform, designing core execution frameworks, agent libraries, and SDKs that enable complex reasoning and autonomous task execution across TurboTax, QuickBooks, Mailchimp, and Credit Karma. Define extensible platform architecture, drive multi-step planning and orchestration capabilities, and ensure agent observability and trust at scale.…See more Partner closely with engineering and architects to standardize agent development, deployment, and management while mentoring other product managers on technical fluency and platform thinking.

Lead the design and deployment of AI agents and automation tools across Intuit's talent acquisition function. You'll partner with TA teams to identify high-impact AI opportunities, build working prototypes using LLM APIs and agent frameworks, establish governance and performance metrics for deployed agents, and translate validated solutions into production requirements with engineering teams.…See more This role requires both deep TA domain expertise and hands-on AI implementation experience—you'll move from problem discovery through prototype validation to scaled deployment while maintaining human oversight and compliance.

As a Machine Learning Application Developer, you will develop and optimize neural rendering applications and ML software for efficient AI execution on Samsung's mobile GPUs. Working with hardware and software teams, you'll optimize performance and resource utilization by developing API-level software, ML operator implementations (GEMM, convolution, activations), and conducting low-level performance analysis.…See more The role requires strong C/C++/Python skills, proficiency with Vulkan/OpenGL/OpenCL, hands-on neural rendering experience, and deep understanding of GPU architecture and performance optimization techniques.

Senior Embedded Firmware Design Engineer at Semtech responsible for defining, developing, and optimizing embedded firmware for low-power mixed-signal circuits from specification through production support. Role includes designing hardware-firmware architectures, implementing ML-based inference firmware, conducting pre- and post-silicon validation, and mentoring junior engineers.…See more Requires 8–10 years of embedded firmware experience for mixed-signal ICs, strong C/C++ and assembly proficiency, deep knowledge of MCU architectures (ARM, RISC-V, STM32), and expertise in real-time systems, signal processing, and design-for-test methodologies.

Software Engineer responsible for scoping and defining requirements, designing and implementing solutions using modern programming languages and technology stacks, and ensuring quality through secure coding practices and testing. The role involves converting customer requirements into refined visions, developing software interfaces across network protocols, integrating components into complex environments, and supporting both lab and on-site customer testing.…See more Requires 3–5+ years of relevant experience, strong understanding of SDLC, object-oriented programming, distributed systems, algorithms, and data structures. Travel up to 10% required.

Senior Machine Learning Engineer responsible for architecting, designing, developing, and deploying on-device AI prototype software for edge computing applications. The role requires expert-level proficiency in C++ and Python, deep knowledge of ML frameworks like PyTorch, and hands-on experience with low-level system debugging, performance tuning, and native inference driver development.…See more You will work in a multi-disciplinary research team advancing generative AI technology for the edge, including model fine-tuning, hardware acceleration, model quantization, and edge inference. A strong theoretical background in deep learning combined with embedded software development experience and modern software engineering best practices is essential.

Lead the design, development, and deployment of enterprise-scale Generative AI and LLM solutions across Azure and AWS environments. Define AI architecture frameworks, standards, and governance practices while architecting RAG systems, agentic AI, multi-agent systems, and vector database solutions.…See more Partner with business leaders and engineering teams to translate business requirements into scalable, secure, and responsible AI platforms. Mentor architects and data science teams while evaluating emerging AI technologies and driving innovation initiatives.

Verification Software Engineer on Qualcomm's Modem/Chiplet Validation & Emulation team, responsible for developing and scaling system-level validation content and automation frameworks for pre- and post-silicon SoC validation. The role requires proficiency in C/C++, Python, and bare-metal software development, with hands-on debugging across hardware-software interfaces, emulation platforms, and silicon debug tools.…See more Engineers will work on functional verification, concurrency testing, and performance analysis for modem and RF subsystems, applying AI/ML techniques to improve validation productivity. The position offers exposure to cutting-edge data center and mobile SoCs with opportunity to build scalable solutions across diverse system architectures.

Sr. Director leading Qualcomm's next-generation AI accelerator platform software strategy, architecture, and delivery.…See more Manages multiple engineering organizations spanning system software, firmware, device drivers, AI runtimes, compilers, ML frameworks, SDKs, and validation. Defines performance and reliability goals, drives cross-functional hardware-software co-design, and partners with customers and hyperscalers. Requires 15+ years software engineering experience with 8+ years leading large, globally distributed teams; deep expertise in AI/ML stacks, compilers, runtime systems, or heterogeneous computing architectures.

Qualcomm seeks a Verification Software Engineer to join the Modem/Chiplet Validation & Emulation team, responsible for end-to-end silicon quality across pre- and post-silicon phases. The role involves designing and scaling system-level validation content, developing bare-metal test frameworks, and performing hardware-software co-debug across SoC architectures.…See more Engineers will write C/C++ and Python code for functional and performance validation of modem and RF hardware engines, analyze failures, and apply AI/ML techniques to improve validation productivity. The position offers exposure to cutting-edge data-center and mobile SoCs, requiring strong low-level programming, debug tools expertise (JTAG, logic analyzers), and ability to work across hardware, firmware, and software teams.

Senior Engineer, Machine Learning at Element Biosciences will design, develop, and optimize deep learning models (CNNs, Vision Transformers, U-Net) for biological image analysis and deploy them to production on AWS or imaging instruments. Responsibilities include building end-to-end ML pipelines from data ingestion through inference, applying advanced image processing and computer vision techniques to multimodal biological images, and analyzing single-cell and multiomic data.…See more The role requires 5–7 years of experience with a Master's degree (or 0–3 years with a PhD) and hands-on proficiency in PyTorch, Python, and cloud deployment, with strong preference for experience in biomedical image modalities.

A security-focused software engineer will perform vulnerability research against software stacks, design and implement security tools and embedded software solutions, and conduct code reviews and regression testing. The role requires deep expertise in reverse engineering, memory management, and low-level debugging across x86 and ARM architectures, with hands-on experience in tools like IDA Pro, Ghidra, gdb, and JTAG.…See more Candidates should have 3+ years of embedded software engineering experience, strong Linux fundamentals, and demonstrated ability to identify and remediate security vulnerabilities. LLM experience to augment reverse engineering and vulnerability discovery is preferred.

You will develop and implement machine learning techniques for Qualcomm's AI Software Platform, focusing on the QAIRT SDK and Genie generative AI inference extensions. Responsibilities include building in-house software tools and evaluating third-party AI toolchains/compilers, performing system-level performance and memory profiling across multiple OS platforms (Android, Linux, QNX, Windows, Zephyr), validating ML model accuracy, and debugging complex issues.…See more You'll collaborate with cross-functional teams on AI software toolchains and contribute to an embedded AI stack supporting edge-AI use cases on Snapdragon SoCs.

Founding Product Engineer to build a greenfield physical AI product at Netradyne, working across full-stack infrastructure, product UX, and agentic AI features. You'll design multi-tenant cloud and edge systems on AWS with real-time dashboards, compliance analytics, and AI-powered agent orchestration for safety operations.…See more Expected to own end-to-end problems—from device to cloud to customer—with 7+ years of software engineering across backend (Go, Python, Java), cloud infrastructure (containers, CI/CD, distributed systems), and modern frontend (TypeScript/JavaScript). Direct customer collaboration and rapid iteration in the field required; fluency with AI-assisted development tools (Claude, Cursor) expected.

Staff engineer leading architecture and evolution of Qualcomm's Ambient Perception Platform for always-on, context-aware AI on power-constrained edge devices. Responsibilities include designing low-power AI runtime platforms, multimodal sensing systems, secure data architectures, and heterogeneous computing frameworks across Android, Linux, Windows, XR, automotive, and IoT.…See more Requires 4+ years software engineering experience (or equivalent with advanced degree), 2+ years with C, C++, Java, or Python, and expertise in embedded systems, ARM/DSP/NPU optimization, and edge AI workload efficiency. Strong preference for 8–12+ years in software architecture, platform frameworks, and heterogeneous SoC development.

Senior Software Engineer responsible for developing scalable, resilient web-based solutions for AppFolio's SaaS leasing platform. You will lead technical projects end-to-end, mentor engineers, optimize algorithms and database queries for performance, and drive engineering excellence through TDD and CI/CD practices.…See more The role requires 5+ years building and scaling web applications, proficiency in modern languages (Ruby, Java, or Python), and experience leading cross-functional technical initiatives. You'll work across the full development stack while championing clean architecture, automated testing, and continuous improvement.

Sr. IT Project Manager/Business Analyst leading complex, cross-functional technology and digital transformation programs with significant organizational impact.…See more Responsibilities include developing business cases, managing project governance, coordinating UAT and defect tracking, driving enterprise process improvement and AI adoption, managing vendor relationships, and mentoring junior PMs and business analysts. Requires minimum 5 years of progressively responsible experience in project management, business analysis, and enterprise technology initiatives, with demonstrated expertise in stakeholder facilitation, executive reporting, change management, and scope/schedule/budget/risk management.

Staff-level embedded software engineer responsible for designing and developing AI, GenAI, and multimedia SDKs/frameworks for IoT edge devices (drones, cameras, AI boxes, appliances). The role requires architecting high-performance inference pipelines, multi-stream AI processing, and GStreamer-based plugins for Qualcomm hardware platforms.…See more Must have 5+ years of C/C++ experience in embedded systems, strong knowledge of AI inference frameworks (PyTorch, TensorFlow, ONNX Runtime, LiteRT), GenAI orchestration tools (LangChain, LlamaIndex), and multimedia/HAL integration across Android, Tizen, and Linux. Ownership spans architecture, design, implementation, and deployment of production-quality SDK components.

As a Senior Software Engineer focused on AI Tools, you will reauthor and optimize generative AI models (LLMs like Llama, Phi, Qwen, and multimodal models) for efficient execution on Qualcomm's on-device hardware. You'll translate hardware constraints into model-level transformations that preserve accuracy while enabling edge deployment, integrate inference acceleration techniques, and collaborate with compiler and quantization teams to move research prototypes into production.…See more The role requires deep implementation-level knowledge of generative AI architectures, strong Python proficiency in large typed codebases, and hands-on experience optimizing inference for resource-constrained environments.

Build production AI features and services using foundation model APIs, retrieval-augmented generation (RAG), and agentic workflows. You will implement scalable microservices in Python or Java, develop evaluation and quality frameworks for AI systems, and collaborate across teams to integrate AI capabilities into enterprise workflows.…See more The role requires hands-on applied AI experience, strong backend or platform engineering skills, and familiarity with vector databases, LLM orchestration tools, and cloud infrastructure.

Lead research projects in AI/ML across areas including decision-focused AI, probabilistic modeling, causal inference, agentic systems, neuro-symbolic AI, and LLM-based reasoning. Define technical direction, mentor junior researchers, and translate research innovations into Intuit's products.…See more Requires a PhD, 8+ years of post-PhD research experience with top-tier publications, and deep expertise in one or more focus areas. Proficiency in Python, PyTorch, or TensorFlow, and strong fundamentals in deep learning, optimization, and statistical machine learning are essential.

Staff Data Engineer role at Credit Karma building petabyte-scale data infrastructure and streaming platforms on GCP. You will design and operate Kafka-based streaming infrastructure, build cloud-native data pipelines using Dataflow/Beam, Flink, and Spark, and create persistence frameworks across Spanner, MySQL, and BigQuery.…See more The role requires 7+ years backend/data systems experience in JVM languages (Scala/Java), expertise with high-throughput distributed systems, and deep knowledge of streaming platforms, Apache Beam, CDC patterns, encryption, and data governance frameworks. You'll also integrate AI/ML and generative AI technologies including LLMs, RAG, semantic search, and knowledge graphs into the data platform.

Software Development Engineer role focused on designing and building scalable cloud-native solutions using microservices architectures in a distributed computing environment. The engineer will write clean, maintainable code, participate in code reviews, and leverage GenAI/AI-powered tools to enhance development productivity.…See more Responsibilities include building resilient systems, practicing CI/CD principles, participating in on-call duties, and demonstrating operational excellence through monitoring and troubleshooting production issues. The role requires experience with data structures, algorithms, object-oriented design, and at least one general-purpose programming language (Java, Python, C++, C#, Go, Rust, or TypeScript).