machine-learning jobs in San Diego

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.

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 Software Engineer at a portfolio company building an AI platform to improve clinical trials. This is a senior-level role where you will shape the company's technical direction and make significant impact on product development.…See more The role requires expertise in AI/ML systems and software engineering best practices to advance a healthcare-focused technology platform.

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.

Staff Software Engineer leading front-end development at Intuit with 7+ years of experience building large-scale web and mobile applications. Responsibilities include architecting front-end solutions, translating customer insights into prototypes and production code, mentoring junior engineers, and integrating AI technologies into applications.…See more Requires expertise in JavaScript, TypeScript, React, REST/SOAP web services, TDD, and hands-on experience with AI integration, model monitoring, and performance optimization in production environments.

Staff-level software engineer developing power and limits management firmware for Qualcomm SoCs across multiple subsystems. Responsibilities include designing and optimizing software for power efficiency, analyzing execution performance, developing profiling and debugging tools, and coordinating with system, power, hardware, and software teams from pre-silicon through commercialization.…See more The role requires deep expertise in embedded systems, real-time operating systems, and low-level optimization across ARM architectures, with exposure to machine learning applications on silicon data sets and integration with Android HLOS.

Qualcomm seeks a Staff Engineer to develop Linux device drivers for machine learning inference accelerators (AI 100). The role involves Linux kernel driver development, PCIe virtualization (SR-IOV), hardware simulation, and upstreaming code contributions.…See more Required expertise includes kernel modules, HWMon, sysfs debugging, RTOS, SoC architecture, DMA, and embedded C development. Candidates should have 4+ years of relevant experience and familiarity with high-speed interfaces, virtualization (KVM), and security-related kernel subsystems.

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.

A software security engineer focused on vulnerability research, reverse engineering, and embedded software development for government customers. The role involves performing end-to-end vulnerability research against software stacks, designing and implementing security tools, developing embedded software solutions, conducting code reviews, and writing technical documentation.…See more Required skills include proficiency in C/C++/Java/Python, deep Linux knowledge, x86/ARM architecture expertise, reverse engineering tools (IDA Pro, Ghidra), and debugging utilities (gdb, strace, ltrace). Experience with Android, Trace32/JTAG, Git, and LLMs for augmenting reverse engineering workflows is preferred.

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.

Design, implement, integrate, and commercialize video software modules on Qualcomm SoCs, including user and kernel mode drivers for playback, streaming, camcorder, and DRM use cases. Develop and optimize video compression, streaming protocols, and Agentic AI frameworks on Linux platforms while meeting performance, latency, power, and stability requirements.…See more Work with hardware and systems engineers to integrate cutting-edge video technology on Snapdragon processors for mobile and AI inferencing platforms. Requires expertise in Linux kernel development (V4L2, device drivers), video compression standards (H.264/H.265/AV1), streaming protocols (HLS/HTTP/RTSP/DASH), and embedded systems debugging.

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.

The System Administrator Expeditionary Systems (OpAI) will maintain and integrate AI capabilities into Naval expeditionary systems, including sensor kits, unmanned systems, C2 platforms, and TAK. Daily responsibilities span hands-on troubleshooting of network connectivity and Linux systems, updating edge servers, testing machine learning capabilities, and ensuring high-quality data flow between tactical systems.…See more The role requires 3+ years of experience in system administration, data engineering, or related fields, with intermediate Linux proficiency, familiarity with edge servers and containerization (Docker, Kubernetes), and experience with tactical data pipelines. The successful candidate will collaborate with engineers, ML specialists, and data teams to integrate cutting-edge AI solutions while supporting operational forces.

This Staff Engineer role owns and executes BD's product security lifecycle for FDA-regulated medical device dispensing systems and their cloud platforms. Key responsibilities include defining end-to-end security architecture, conducting threat modeling and risk assessments, implementing secure SDLC practices aligned to NIST/OWASP/BSIMM, managing SBOMs and vulnerability remediation, and ensuring regulatory compliance (IEC 62304, ISO 14971, FDA cybersecurity guidance).…See more The role requires 5+ years of cybersecurity experience with FDA Class I/II devices, hands-on expertise in embedded/cloud/application security, and the ability to balance security controls with usability while supporting FDA submissions.

Principal Engineer leading the technical direction for ServiceNow's Conversational Analytics platform, which enables customers to query data in natural language using AI. The role combines hands-on architecture and prototyping with mentorship of engineering teams, requiring deep expertise in AI/ML systems, vector retrieval, agentic architectures, and knowledge graphs.…See more You'll collaborate with product and leadership to design cloud-based solutions integrating LLMs and AI into enterprise workflows, with accountability for customer success metrics and evaluation frameworks.

Senior Data Engineer role focused on building and productionizing GenAI/LLM solutions for data engineering workflows. You will develop RAG and agentic workflows, automate incident triage and root-cause analysis, integrate AI capabilities into internal developer tools, and own projects from problem definition through production support.…See more Required: 3+ years of production systems experience, strong Python/SQL, hands-on GenAI/LLM application building, and software engineering fundamentals including testing, CI/CD, and monitoring.

Principal Machine Learning Engineer at AppFolio to architect and lead mission-critical AI systems across the Realm-X property management platform. You'll design advanced AI agentic systems combining reasoning, planning, and execution; establish ML platform primitives for end-to-end production workflows; and drive the transition toward autonomous property management using LLMs, fine-tuning, and reinforcement learning.…See more Requires 10+ years building software systems with deep expertise in traditional ML, deep learning, generative AI, LLM post-training (SFT, RLHF, DPO, RL), and production ML at scale—plus a Master's or Ph.D. in Computer Science or related field.

The Business Process Automation Specialist will architect and maintain custom automation tools across the Google ecosystem (Apps Script, Sheets, Docs, Forms) and third-party platforms (Zapier, Make.com, Asana, HubSpot, Slack, Looker Studio) to eliminate manual work and keep data in sync. The role includes identifying and building production AI workflows using LLMs (Gemini, Claude, ChatGPT) for tasks like client feedback categorization and document parsing.…See more You'll design end-to-end automated processes for client onboarding, reporting, and HR workflows while driving adoption through documentation, SOPs, and end-user support. This requires 5+ years of business process improvement or systems integration experience, strong Google Apps Script (JavaScript) proficiency, hands-on knowledge of REST APIs and webhooks, and ability to translate business problems into scoped solutions without over-engineering.

Senior Software Engineer working on AI-integrated expeditionary systems for the Navy, designing and deploying tactical data pipelines that connect sensors, unmanned systems, and command-and-control platforms. Requires 10+ years in software engineering, data engineering, or related roles, with expert Python skills, containerization experience (Docker/Kubernetes), and hands-on expertise in tactical data formats, event streaming platforms, and system integration.…See more Will collaborate with ML engineers, data engineers, and systems engineers to normalize tactical data, integrate machine learning models, and ensure robust data flow in field-tested operational environments.

Sr. AI Developer at XiFin will design and build AI-powered applications, agents, and automation tools that enhance software development workflows and improve engineering productivity.…See more The role involves developing intelligent testing solutions integrated with CI/CD pipelines, implementing AI-assisted developer tools using Claude and AWS Bedrock, and evaluating emerging AI technologies. You'll work hands-on across Python, LLMs, generative AI, and cloud-native AWS infrastructure, partnering with Engineering, QA, and DevOps teams to prototype and deploy scalable, production-ready solutions. The position requires 4–7+ years of software engineering experience with strong Python skills, LLM/generative AI application experience, and familiarity with modern DevOps practices.