machine-learning jobs in San Diego

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.

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.

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.

Systems Administrator supporting Department of Defense infrastructure, networks, and emerging technologies in a DoD environment. Responsibilities include monitoring system performance, maintaining DoD cybersecurity controls, deploying and troubleshooting AI/ML applications and compute environments, serving as technical liaison between Greystones, Navy/DoD customers, and OEMs, and supporting Navy systems integration and sustainment.…See more Requires 10+ years of systems/network/IT administration experience, Bachelor's degree in IT/CS/Engineering (or equivalent military service), DoD customer support background, and active Secret clearance.

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.

The Data Analyst will create reports, visualizations, dashboards, and metrics to support business decision-making across multiple internal teams and business units. Responsibilities include developing business intelligence solutions, gathering and analyzing data, building PowerBI dashboards, using SQL and Python for quantitative analysis, and collaborating with stakeholders to identify trends and deliver actionable insights.…See more The role requires detail-oriented work spanning finance, accounting, and budgeting domains, with experience in regulated utility, energy, DOE, or DOD environments preferred. A master's degree in data analytics, data science, or equivalent field is required.

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.

Staff Quality Analyst role responsible for building dashboards and analytics that surface defect signals and drive leadership decision-making at scale. The role combines hands-on data analysis (SQL, Python, statistics) with AI-native workflows to accelerate defect detection and root cause analysis, plus structured change management to land measurement and process changes across large stakeholder groups.…See more Required skills include strong SQL/Python proficiency, applied statistics, experience with defect frameworks (DPMO), contact center operations familiarity, and demonstrated ability to communicate data findings credibly to executives and manage organizational change.

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.

Staff Machine Learning Engineer to drive AI/ML-based automation across Qualcomm's Automotive SoC Cybersecurity and Safety engineering. The role focuses on building intelligent, scalable solutions using LLMs, GenAI, and agentic AI systems to streamline cybersecurity workflows, functional safety processes, and silicon verification.…See more Responsibilities include designing end-to-end ML pipelines, developing document-understanding and review-automation systems, and applying AI to security analysis and compliance monitoring across the product development lifecycle. Required: strong ML/AI background, Python or C++ proficiency, production ML experience; preferred: knowledge of automotive standards (ISO/SAE 21434, ISO 26262), hardware security, or RTL/verification workflows.

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.

Lead discovery workshops with North American fleet management customers to translate business problems into scoped data, analytics, and AI solutions. Own customer engagements end-to-end—from discovery through delivery—including scoping, estimates, and risk management.…See more Build and prototype applied AI use cases, present findings to technical and executive stakeholders, and work closely with Sales, Product, and Engineering teams. Requires 5+ years of hands-on data engineering or analytics engineering experience, strong SQL proficiency, cloud data warehouse expertise (Snowflake preferred), Python or equivalent programming language, dbt or transformation framework experience, and demonstrated comfort presenting to executive audiences.

Research Programmer III will develop machine learning and computational methods to understand behavior and neural activity in the Kennedy Lab at Scripps Research. The role involves building and training deep neural networks for supervised, unsupervised, and reinforcement learning problems, applying computer vision for high-throughput animal phenotyping, and contributing to scientific papers.…See more Candidates must have 4+ years of software development experience in Python with demonstrated expertise in deep learning, version control (git/GitHub), and software engineering principles. The position offers opportunities to lead independent research projects on datasets from collaborating institutions and is ideal for those building toward graduate studies in computational neuroscience or machine learning.

Senior Data Architect with 15+ years of experience designing and implementing enterprise data platforms that support modern AI/ML and Generative AI applications. Must have strong hands-on expertise in ETL/ELT, Python, SQL, and enterprise data warehousing, with production experience in Treasure Data, real-time analytics, streaming pipelines (Apache Kafka), and AI-ready data architectures including RAG, vector databases, and LLM integrations (LangChain, LangGraph, Azure OpenAI, AWS Bedrock).…See more Will design batch and real-time enterprise data architectures on cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with CDC/Debezium incremental processing capabilities.

Qualcomm seeks a Software Engineer to develop power and limits management software for chipsets and SoCs. The role involves analyzing requirements, designing software solutions optimized for power efficiency, performing detailed analysis of existing software to improve performance and memory utilization, and developing profiling and debugging tools.…See more Candidates will work across pre-silicon to commercialization, collaborating with system, power, hardware, and software engineers, and may scope hardware acceleration opportunities.