machine-learning jobs in San Diego

Senior AI Engineer building AI-powered learning systems for Shield AI's Hivemind autonomy platform. The role involves developing an AI training coach for context-aware guidance, creating tooling to generate technical workshops and curricula from learning objectives, and partnering with autonomy experts to produce assessments and labs.…See more Success is measured by shipped learning products, reduced time to technical proficiency, and demonstrated improvement in customer capability and product adoption.

Design, create, and implement production-grade AI/ML systems for Defense and Intelligence clients. You'll architect scalable machine learning solutions handling fast-moving data, deploy models across multiple data modalities using frameworks like TensorFlow and PyTorch, and integrate solutions into mission environments.…See more The role requires 2+ years of ML engineering or data science experience, proficiency with ML frameworks and programming, and hands-on work in deep learning, computer vision, NLP, or signal processing.

Staff-level machine learning software engineer responsible for designing, implementing, and optimizing ML software for embedded systems including mobile, edge, auto, and IoT products running on ARM, DSP, and GPU processors. Primary responsibilities include developing and optimizing ML kernels and frameworks (TensorFlow, PyTorch) for efficient hardware execution, implementing performance-critical software in C++/Python, and collaborating with hardware teams on joint design and optimization.…See more Will lead complex projects involving integration, testing, and tool development for embedded ML subsystems, coordinate cross-team dependencies, and contribute to design reviews and technical planning.

This role combines pre-sales engineering with hands-on AI/automation expertise. You'll design and deliver technical presentations, build proof-of-value projects and custom dashboards for enterprise clients, and assist with RFPs—all while staying current on ClickUp's product roadmap.…See more You need 6+ years in customer-facing technical roles, demonstrated success with agentic AI workflows and integration platforms, and the ability to influence both technical and executive stakeholders toward adoption.

Lead the design, build, and operation of enterprise-scale Databricks Lakehouse platforms at Qualcomm, driving AI-native development, MLOps practices, and cloud modernization. This hands-on Staff IT Engineer role requires 4–5 years of Databricks experience and 8–12 years total IT background, with responsibility for platform architecture (Delta Lake, Unity Catalog, Workflows), machine learning enablement (MLflow, Mosaic AI), AIOps automation, and technical mentoring of engineers.…See more You will establish engineering standards, optimize platform performance and cost, implement observability and self-healing automation, and drive adoption of generative AI tools and intelligent automation across development teams.

As a Forward Deployed Engineer IV in Applied AI at Google Cloud, you will lead end-to-end engineering for production conversational AI systems, transforming prototypes into scalable agentic workflows deployed at customer sites. You'll architect multi-agent systems using frameworks like ReAct, optimize RAG implementations, debug agent logic across microservices, and connect AI systems to enterprise infrastructure.…See more The role requires 8+ years of software development (Python or similar), experience with infrastructure-as-code (Terraform), cloud platform deployment (GCP), and hands-on full-stack application development. You'll travel up to 50% and work directly with customers to establish production AI journeys while identifying patterns that feed back into product improvements.

Sr. Director of Software Quality will build and lead Illumina's standalone Software Quality organization, establishing governance frameworks aligned with IEC 62304, ISO 13485, ISO 14971, and emerging AI Act requirements.…See more The role owns the Software Quality Management System across all software products, software-driven IVDs, and AI/ML-enabled diagnostics, embedding quality checkpoints throughout the product development lifecycle and post-market surveillance. Responsibilities include recruiting and developing a high-performing team, defining verification and validation standards, managing regulatory compliance for FDA, EU MDR/IVDR, and other global bodies, and serving as the subject-matter expert in regulatory inspections. The candidate must have deep hands-on expertise in IEC 62304, SaMD classification frameworks, cybersecurity in QMS (IEC 81001-5-1), and demonstrated experience building and leading software quality functions in regulated medical device environments.

Chief AI Subject Matter Expert leading the development of intelligent data processing pipelines, NLP systems, and AI-enabled dashboards for defense applications. The role requires 15+ years of experience with generative AI, LLMs, and agent-based development workflows, including hands-on use of tools like GitHub Copilot and Claude for code generation and automation.…See more Responsibilities include prototyping emerging AI tooling, mentoring engineering teams on AI integration, designing secure production AI solutions, and identifying opportunities to accelerate the software lifecycle through AI and automation. Must demonstrate expertise in LLM APIs, RAG architectures, vector databases, prompt engineering, and AI-specific security considerations in classified/sensitive environments.

Build production inference systems that turn ML research prototypes into deployed, performant components under strict latency, throughput, memory, and accuracy constraints. Own the full pipeline from model optimization through deployment: profile and tune tensor execution, write Rust/C++/CUDA where necessary, build evaluation machinery tied to product metrics, and maintain reproducible deployment contracts.…See more You'll collaborate with research teams to surface shipping risks early and translate algorithmic work into engineering reality with explicit performance budgets and regression gates.

Design and build AI agents that automate workflows within a multi-agent platform, enabling PM and engineering agents to exchange plans and context over shared program data. Develop full-stack web applications with generative AI functionality—conversational interfaces, natural-language querying, automated summarization, and in-context recommendations—using C#, .NET, Python, TypeScript, Angular/React, and integrations with Jira, Microsoft 365, Confluence, and SQL/NoSQL stores.…See more Define agentic engineering standards including tool contracts, MCP servers, prompt management, memory, guardrails, human-in-the-loop approval, and evaluation harnesses. Requires hands-on experience with LLM application development, agentic runtimes like LangGraph or AutoGen, full-stack enterprise development, and cloud deployment on AWS or Azure.

Design, develop, and optimize modem firmware and software for 5G-Advanced and early 6G protocol stacks, working across L1/L2/L3 layers to implement 3GPP-compliant features. Develop real-time embedded software on proprietary RTOS (QuRT) with strict latency and throughput constraints, and architect frameworks for resource management and AI-driven optimization.…See more Collaborate with systems, architecture, and hardware teams on modem integration, performance optimization, and field issue resolution using protocol logs and debugging tools.

BAE Systems seeks entry-level software engineers (Bachelor's or Master's degree expected by June 2027, <6 months experience) to develop C4ISR and geospatial intelligence applications for defense customers. You will apply Java, OOP, and software design principles in a collaborative, agile environment.…See more The role offers mentorship, onboarding, and exposure to full-stack development, cloud platforms, DevOps, and modern software architecture as part of a structured Year One program.

Lead a specialized team of software engineers at the intersection of hardware, software, and AI, focusing on developing innovative Pixel experiences using sensor signals. The role requires deep expertise in real-time embedded software development, sensor fusion algorithms, machine learning infrastructure optimization, and AI/ML design.…See more You will independently design and implement systems, collaborate with stakeholders on technical direction, and manage a team building power-efficient, sensor-driven features leveraging computer vision, signal processing, and estimation theory.

As a Machine Learning Engineer at Qualcomm, you will develop and optimize machine learning frameworks, tools, and algorithms for deployment across mobile, edge, automotive, and IoT products. You will collaborate with cross-functional teams to design hardware-software co-optimized solutions, build efficient inference and training systems, and create ML kernels and compiler tools.…See more The role requires proficiency in ML frameworks (TensorFlow, PyTorch, Keras), embedded systems optimization, and programming languages like Python or C++, with experience in problem domains such as NLP or multimedia.

This role combines prompt engineering expertise with AI system governance and enterprise adoption strategy. The engineer will optimize LLM performance across platforms (OpenAI, Anthropic), design and configure AI agents and chatbots with knowledge grounding, and establish prompt governance frameworks and best practices.…See more Success requires 5+ years in AI/ML systems, 2+ years of hands-on prompt engineering, and demonstrated ability to evaluate AI performance, manage knowledge systems, and guide enterprise clients through AI tool adoption and deployment.

Mid-level Systems Engineer role focused on Model-Based Systems Engineering (MBSE) with knowledge of machine learning and artificial intelligence. The position requires developing technical documentation, excellent communication skills, and a TS/SCI security clearance.…See more Candidates should hold a Master's degree in Engineering and possess ASEP or CSEP INCOSE certification.

Design, implement, and verify machine learning software for embedded ARM processors, DSPs, and GPUs in mobile, edge, automotive, and IoT products. Optimize ML kernels, frameworks (TensorFlow, PyTorch), and compilers to leverage specific hardware capabilities; develop in C++, C, or Python with focus on performance tuning and integration testing.…See more Collaborate with hardware teams on joint design/development, coordinate dependencies across teams, and contribute to design reviews and project meetings.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Design, develop, and optimize modem firmware and software for LTE, 5G-Advanced, and early 6G protocol stacks, implementing 3GPP-compliant features and real-time scheduling algorithms. Develop embedded software on proprietary RTOS (QuRT) with strict latency and throughput constraints, collaborate on modem bring-up and performance optimization, and resolve complex field issues using protocol logs and debugging tools.…See more The role requires strong C/C++ design skills, deep understanding of wireless communication principles (OFDM, MIMO, channel coding), real-time embedded systems expertise, and familiarity with AI/ML optimization techniques for adaptive modem behavior.

Qualcomm seeks a Senior AI Performance Architect to design hardware accelerator architectures optimized for AI training at scale. The role involves analyzing GPU/accelerator architectures, defining computational blocks supporting multiple datatypes and precisions, architecting memory and scale-out systems, and codesigning hardware with software/LLM requirements.…See more Responsibilities include competitive analysis, performance modeling, and pre-silicon prediction for ML training workloads. The ideal candidate spans software architecture, algorithm development, kernel optimization, and hardware accelerator design.

Entry-level software engineer role supporting C4ISR and geospatial intelligence applications for defense customers. Requires a Bachelor's degree in Computer Science or related field (by June 2027) and proficiency in Java with understanding of object-oriented design and programming.…See more The role emphasizes full-stack development capabilities, familiarity with modern DevOps and cloud tools, and the ability to work collaboratively in an agile environment. Candidates with security clearance eligibility or prior internship experience are preferred.

Design and develop embedded platform software for CPU, DSP, and NPU processors in Qualcomm's Snapdragon SoC portfolio, optimizing for AI inference, computer vision, and multimedia workloads. Build high-performance drivers, runtime libraries, and multi-processor frameworks that unlock DSP and AI hardware acceleration.…See more Profile and optimize system performance at the microarchitecture level to achieve low latency and low power on resource-constrained platforms. Collaborate with hardware, tools, and firmware teams to evaluate design trade-offs and support commercialization with OEM partners.

Build and scale evaluation harnesses and automation for AI-powered software development tools, turning real engineering artifacts into repeatable benchmark tasks. Develop versioned, reproducible processes with containerized environments to measure AI tool performance across quality, productivity, and efficiency metrics.…See more Validate evaluation approaches against human judgment, analyze results for variance and failure patterns, and work with engineering and data teams to improve tooling and document findings.

This Technical Lead role focuses on architecting, developing, and deploying production-grade Agentic AI solutions on AWS using .NET/C#. The ideal candidate will have hands-on expertise in LLMs, generative AI, RAG, prompt engineering, and agent frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen), combined with strong .NET enterprise development and AWS cloud-native skills.…See more Responsibilities include taking AI solutions from POC to production, designing microservices and REST APIs, and ensuring AI evaluation, monitoring, observability, and governance. Technical leadership, stakeholder management, and system design fundamentals are essential.

Software Engineer II responsible for operating and improving large-scale SQL, NoSQL, streaming, and caching platforms (Cassandra, Aurora, Aerospike, Kafka, Redis, DynamoDB, ElastiCache) with a focus on reliability, automation, and observability. Build self-service developer experiences using Terraform and infrastructure-as-code, participate in on-call incident response, and develop APIs and automated tests for infrastructure tooling.…See more Requires 3+ years in software engineering, database reliability engineering, SRE, or platform engineering, with hands-on Go experience, Terraform proficiency, AWS/GCP knowledge, and Kubernetes familiarity.