machine-learning jobs in San Diego

DevOps Engineer to build, maintain, and optimize AWS cloud infrastructure and CI/CD deployment systems, working with ECS, EKS, and EC2 workloads. The role requires hands-on experience with Infrastructure as Code (Terraform), containerization (Docker/Kubernetes), monitoring tools (Grafana), and CI/CD pipelines, with growing ownership of services and systems.…See more You'll troubleshoot infrastructure and application issues, collaborate with engineering teams on deployment workflows, and apply AI tooling to improve infrastructure automation and operational efficiency. The position reports to a DevOps Manager and is based in San Diego on a hybrid schedule.

The Senior Machine Learning Engineer will design and develop advanced ML models for automotive radar signal processing, including end-to-end pipelines from data preprocessing through model training and optimization. The role requires expertise in deep learning architectures (CNNs, RNNs, Transformers), radar signal analysis, and deploying models for real-time embedded systems with constraints on latency, memory, and power.…See more Responsibilities include evaluating state-of-the-art ML techniques, optimizing models for production, and translating research into scalable algorithms. The position demands a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong proficiency in Python and frameworks like PyTorch or TensorFlow, and foundational knowledge of radar fundamentals.

Shield AI seeks a Senior Staff Engineer to design and deploy autonomous capabilities for maritime surface vehicles. The role spans algorithm development, real-time software engineering, system integration, and field testing—requiring deep expertise in robotics, motion planning, decision-making, and unmanned systems.…See more You will collaborate across perception, planning, simulation, and hardware teams to mature autonomy solutions from prototypes to operational deployment, with ~25% travel to integration events and customer sites.

Senior Software Engineer responsible for developing high-performance autonomy software modules for maritime unmanned systems, from algorithm prototyping through real-world deployment and testing. The role requires 7–10+ years of experience in robotics, control systems, motion planning, or autonomous vehicle development, with proficiency in C++ and Python.…See more Responsibilities include cross-functional collaboration with perception and planning teams, integration of autonomy capabilities onto surface vehicles, analysis of mission logs, and contribution to autonomy roadmaps through R&D and algorithm innovation.

Google seeks a Software Engineer III to develop computer vision and computational photography features for Pixel camera autofocus, exposure, and white balance systems. You will own the end-to-end product lifecycle from research and algorithm development through prototyping, optimization, and commercialization.…See more The role requires proficiency in C++, machine learning infrastructure (model deployment, optimization, data processing), and computer vision or imaging platforms, along with experience in large-scale system design and performance analysis.

Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training and optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) applied to radar data in time-domain, frequency-domain, and range–Doppler representations.…See more Optimize models for real-time embedded deployment under latency, memory, and power constraints, and translate research outcomes into scalable, production-ready algorithms. Requires a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong radar and signal processing fundamentals, and proficiency in Python, PyTorch/TensorFlow, and cloud platforms.

Staff Software Engineer responsible for developing and leading the Qualcomm AI Stack software platform, including the QAIRT SDK and Generative AI Inference Extensions (Genie). The role focuses on researching state-of-the-art AI toolchains, performance and memory profiling for Edge-AI on embedded SoCs, and optimizing machine learning model execution on Snapdragon platforms across multiple operating systems.…See more You will lead software toolchain development, conduct system-level benchmarking, validate ML use cases, debug complex issues, and provide technical guidance to junior engineers while collaborating across cross-functional teams.

Principal Systems Architect responsible for defining and maintaining the technical architecture of a complex enterprise automation ecosystem spanning RPA, Machine Learning, and GenAI. Will architect data pipelines integrating diverse enterprise systems (SAP, ERP, QMS, PowerBI, Windchill, Atlassian), provide technical leadership on workflow automation and DevSecOps infrastructure, and ensure end-to-end cybersecurity compliance with DoD standards and CMMC.…See more Role requires 14+ years of progressive IT systems architecture experience, demonstrating systems engineering expertise in complex data integration, AI/ML automation, and secure deployment across engineering, manufacturing, quality, and finance domains.

Senior AI Subject Matter Expert responsible for developing intelligent data processing and NLP pipelines, AI-enabled dashboards, and proofs-of-concept for AI use cases. The role requires 7+ years of professional experience with advanced expertise in LLM APIs, RAG architectures, agent-based development, generative AI coding tools, and secure AI deployment patterns.…See more Responsibilities include prototyping emerging AI developer tooling, mentoring engineering teams on generative AI workflows, and identifying software lifecycle areas that can be accelerated through AI and automation. The candidate must critically evaluate AI-generated code for correctness and security, understand AI-specific security risks across the full SDLC, and scope requirements for engineering solutions that meet business challenges with measurable outcomes.

Google seeks a Software Engineer III to develop computer vision and computational photography features for the Pixel camera, focusing on autofocus, image signal processing, and scene understanding. You will own the end-to-end product lifecycle from research and algorithm development through prototyping, optimization, and commercialization.…See more The role requires 2+ years of C++ software development, 1+ year of ML infrastructure experience, and 1+ year of computer vision or imaging platform experience. You'll work cross-functionally with hardware, research, and chip design teams to deliver mobile-friendly features that define the Pixel camera experience.

As a Forward Deployed Engineer, you'll design and build production-grade data pipelines and ontologies within Palantir Foundry to solve mission-critical problems for defense clients. You'll translate complex mission requirements into technical architectures, develop workflows and decision-support capabilities, and collaborate with engineers, analysts, and stakeholders to deploy Foundry-based applications.…See more The role requires 3+ years in software, data analytics, or platform engineering with hands-on Foundry and ontology design experience, plus the ability to work embedded at client sites and obtain a Secret clearance.

Staff/Sr. Staff Software Engineer role focused on AI inference optimization on Snapdragon platforms, including model optimization, quantization, graph transformations, and runtime execution for LLMs, LVMs, and LMMs.…See more You will design and implement graph lowering and optimization techniques within ONNX Runtime, ExecuTorch, and Qualcomm AI Stack SDK, working across ML algorithms, inference systems, and hardware integration. The role requires 6–8+ years of software development experience, 3+ years in AI/ML inference or model optimization, deep expertise in Python and C/C++, PyTorch/ONNX, and transformer architectures. You will mentor junior engineers, drive features end-to-end, and collaborate across ML Research, hardware, product, and QA teams.

Lead the design and development of embedded NPU software frameworks, runtime libraries, and system drivers for Qualcomm's Snapdragon SoC portfolio, optimizing for high-performance AI and multimedia workloads across mobile, automotive, compute, and XR platforms. Architect solutions across the full stack from low-level drivers to high-level frameworks, collaborating with hardware and systems teams to deliver production-grade solutions.…See more Drive technical decisions, mentor engineers, and optimize software using advanced NPU architecture techniques including SIMD, multi-threading, and memory hierarchy optimization. Requires deep expertise in embedded systems, C/C++, NPU architecture, real-time operating systems, and demonstrated ability to lead complex development efforts across cross-functional teams.

Design, implement, and optimize advanced algorithms for radar, optical, and infrared sensor systems, working with scientists and engineers to build high-performance backend systems for scientific computing in distributed environments. Translate existing code for GPU/CUDA acceleration, integrate and refactor scientific codebases, and work in Linux/Unix environments.…See more Requires 6+ years of C/C++ backend development (or 4+ with a Master's), expertise in high-performance computing, parallel/distributed processing (MPI), GPU/CUDA programming, and foundational knowledge of AI/ML and LLM concepts.

Senior Associate AI Engineer will develop GenAI/LLM applications and integrations using foundational models, build and test AI models and conversational agents, and configure AI solutions into enterprise applications on cloud platforms. The role requires assisting with data preparation for model training, documenting technical workflows, and staying current on emerging AI tools.…See more Requires minimum three years of professional or academic experience in AI/ML, data science, or software engineering, proficiency in Python or similar languages, and hands-on experience with a major cloud AI platform (Azure AI, AWS Bedrock, or Google Cloud Vertex AI).

SAIC seeks a Principal Software Engineer to design and deploy streaming data platforms and machine-learning systems for defense/mission clients. You will perform full-stack development (Python, Java, JavaScript) with cloud technologies (AWS, Azure), manage Kubernetes deployments, build data-driven applications with ETL pipelines, and provide client technical support and documentation.…See more The role requires 9 years of experience (or 7 with a Master's), a Top Secret clearance with ability to obtain TS/SCI, and hands-on expertise in cloud, databases, Linux, and big-data tools.

AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles.…See more Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.

Define and architect next-generation SoC infrastructure hardware components including interconnect (NoC), system cache, memory controllers, and system MMU for Qualcomm SoCs. The role requires deep expertise in multi-die/chiplet architectures, industry-standard protocols (PCIe, CXL, USB, UFS, MIPI, UCIe), and HW-SW interfaces to create developer-friendly designs.…See more Responsibilities include performance modeling, RTL design flow understanding, and trade-off analysis across quality of service, power management, security, and debug features. The position demands 4+ years of systems engineering or architecture experience with a degree in electrical engineering or computer science.

Design and develop embedded and cloud edge software applications focused on AI/GenAI, multimedia, and computer vision SDKs and frameworks for IoT products including drones, cameras, and AI boxes. Collaborate with systems, hardware, and architecture teams to build high-performance, real-time embedded software solutions.…See more Lead GenAI LLM/VLM inference workflows, multi-stream AI pipelines, and multimedia frameworks across Android, Linux, and embedded systems. Requires 2+ years of software engineering experience with C/C++, Python, or Java, plus preferred expertise in PyTorch, TensorFlow, ONNX Runtime, LangChain, LlamaIndex, Android architecture, Linux system programming, and graphics/GPU pipelines.

Design and develop software applications orchestrating complex automated laboratory workflows, closed-loop learning systems, and AI-integrated autonomous discovery ecosystems for biotherapeutics research. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Create digital lab infrastructure including IoT integrations, digital lab twins, telemetry monitoring, and integrations across automation schedulers, LIMS, and data platforms. Requires Ph.D. in Computer Science/Software Engineering/Bioengineering with 3+ years industry experience (or M.S. with 10+ years, or B.S. with 13+ years), preferably in pharmaceutical or automation sectors.

Own and evolve the software translation layer between high-level workflow logic and low-level laboratory instrument control, integrating liquid handlers, plate readers, robotic workstations, and analytical instruments. Deploy and maintain containerized services using Docker, Kubernetes, GitOps, and CI/CD practices, building scalable Python applications and data pipelines that connect experimental readouts with LIMS and downstream analysis tools.…See more Collaborate with the team to prototype AI-driven decision-making and autonomous orchestration in lab workflows, evaluating LLM tooling and agent frameworks for practical applicability. Serve as a technical authority and mentor, influencing the broader technical roadmap for autonomous discovery systems and helping grow the automation engineering team's capability.

Qualcomm AI Research seeks a Senior AI Research Quantization Engineer to develop algorithms for efficient generative AI, LLMs, and multimodal models optimized for on-device deployment. The role focuses on advanced quantization techniques, model compression, inference optimization (batching, KV caching, speculative decoding), and system prototyping using Python and PyTorch.…See more You will collaborate across hardware, software, and systems teams to enable state-of-the-art models to run on power- and memory-constrained devices including smartphones, autonomous vehicles, robotics, and IoT platforms. A Bachelor's degree plus 2+ years of related engineering experience (or Master's with 1+ year, or PhD) is required.

Lead the design and deployment of AI-powered marketing automation workflows, predictive analytics frameworks, and performance dashboards across Intuit's marketing organization. Build production-grade automation infrastructure on cloud platforms (GCP/AWS/Azure) that integrates AI tools into the marketing tech stack, operationalizes customer segmentation models, and scales intelligent automation globally.…See more Develop dashboards, attribution models, and automated reporting pipelines that quantify adoption, cost savings, and performance lift. Partner cross-functionally with product, engineering, data science, and marketing teams to architect, validate, and transition high-impact AI pilots into enterprise capabilities.

Lead the development of autonomy software for advanced sensor systems and uncrewed platforms, integrating hardware and algorithms into robust, real-time fielded solutions. You will architect and implement C++ applications using modern software practices (CI/CD, TDD, open architecture), lead small engineering teams through system development and test cycles, and engage directly with Air Force, Navy, and DARPA customers to shape product direction.…See more The role requires converting higher-level algorithms (MATLAB) into production-grade, multi-threaded C++ for safety-critical, real-time embedded environments, supported by live testing and modeling-and-simulation infrastructure.

Lead a Palantir Forward Deployed Engineering team for the Government & Public Services practice, guiding architecture of data pipelines powering GenAI use cases. You will contribute production-quality code, enforce strong data management and CI/CD practices, and translate business problems into AI solutions while working with federal/state/local government clients.…See more The role requires 10+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir (Foundry, AIP, or Maven), with deep familiarity in AWS, Azure, and/or Google Cloud environments.