computer-vision jobs in San Diego

Design and develop video codec and computer vision hardware systems at Qualcomm, working on video encoders, decoders, and computer vision components across mobile, automotive, XR, IoT, and compute platforms. Conduct architecture studies, algorithm decomposition, and hardware verification while ensuring KPIs, performance, and power metrics are met.…See more Collaborate with cross-functional teams to analyze customer requirements and contribute to video subsystems and features aligned with product roadmaps. Write technical documentation and troubleshoot hardware and firmware issues.

Principal Software Engineer responsible for defining and executing mobile system-level software architecture at Qualcomm, bridging hardware, kernel, Android, and subsystem software teams. Will lead cross-functional feature requirements, engage directly with OEMs on system-level needs, and represent Qualcomm's architecture strategy in upstream partnerships with Google Android and platform teams.…See more Requires 8+ years of software engineering with deep expertise in Android OS, Linux kernel, system software stacks, and demonstrated ability to lead senior technical talent while remaining hands-on. Experience with AI/ML system software, NPU/DSP integration, mobile SoC architecture, and performance optimization is preferred.

Senior Director leading AI software architecture and strategy for Snapdragon mobile platforms, spanning computer vision, audio, and generative AI. Responsibilities include designing complex AI features, conducting cross-functional research and prototyping, serving as technical expert in commercializing solutions, and influencing external partners and roadmap strategy.…See more Requires 10+ years of semiconductor product development experience, 5+ years in technical leadership, and deep expertise in AI frameworks, mobile platforms, and heterogeneous system optimization.

Design, implement, and test C++ and Python features for autonomous UAV software, including embedded firmware for real-time flight control, autonomy algorithms (planning, perception, multi-agent coordination), and sensor integration. Build unit and integration tests, validate software behavior through simulation and hardware-in-the-loop testing, and collaborate cross-functionally with electrical and mechanical engineers.…See more This is a new-graduate role requiring proficiency in C++/Python, strong fundamentals in data structures and algorithms, and ability to own well-scoped tasks with limited guidance.

Lead a specialized engineering team at the intersection of hardware, software, and AI, responsible for developing innovative Pixel sensor-based features. You'll manage software engineers building real-time embedded systems that leverage sensor signals for on-device AI experiences, requiring deep expertise in embedded software development, computer vision, signal processing, and ML infrastructure optimization.…See more The role demands 8 years of software development experience, 5 years in computer vision or signal processing with ML optimization, and 3 years in technical leadership with 2 years managing teams.

Design and implement computer vision features and on-device prototyping using the Snapdragon Vision API for mobile, autonomous vehicles, IoT, and AR/VR platforms. Lead CV feature development from algorithm through commercialization, collaborating with hardware, software, and product teams.…See more Develop technical documentation and sample materials for developer enablement. Requires 3–5 years of hands-on computer vision application development with strong C/C++ and Python proficiency and deep understanding of CV algorithms and deep-learning pipelines.

As an ML engineer at Booz Allen Hamilton, you'll design, build, and deploy production-grade AI/ML systems for Defense and Intelligence clients. You'll work across the full ML lifecycle—from model development in deep learning, computer vision, NLP, and signal processing through MLOps, containerization, and cloud deployment.…See more The role requires 2+ years of ML engineering or data science experience, proficiency with frameworks like TensorFlow and PyTorch, and the ability to obtain a Secret clearance.

Lead a machine learning engineering team designing Visual Language Action Models, Vision Language Models, and Large Language Models for autonomous driving and infotainment on Qualcomm's Snapdragon Ride platform. Optimize deep networks for accuracy-latency trade-offs on resource-constrained edge devices, focusing on low-level perception, end-to-end autonomous driving (L2/L3 ADAS), and multi-modal sensor fusion.…See more Drive cross-functional collaboration with automotive OEMs and internal Qualcomm teams while building a world-class AI/deep learning engineering organization. Requires 6–8+ years of systems engineering or machine learning experience (depending on degree level), with hands-on expertise in deep learning network design, quantization, and deployment on edge AI accelerators.

Forward Deployed Engineer responsible for coordinating and executing field tests, demonstrations, and pilot programs for autonomous systems in dynamic environments. The role requires deploying and managing autonomy software in production, with expertise in computer vision, geospatial AI, embedded AI platforms (Nvidia Orin NX, Qualcomm), and navigation stacks (ArduPilot, PX4) across ground, aerial, and maritime platforms.…See more You will work closely with AI researchers, customers, and partners to implement, test, and iterate on solutions, requiring weekly travel and extended field deployments with short notice.

Senior technical leader responsible for integrating AI/ML systems into secure, scalable DoD-compliant environments. Will architect AI system deployments, establish DevSecOps practices, ensure compliance with RMF/NIST 800-53/DISA STIG standards, and provide technical guidance across engineering teams.…See more Requires deep expertise in AI/ML production systems, containerization, CI/CD, and cybersecurity controls, with hands-on experience in Python, Kubernetes, and modern infrastructure tooling.

Design, develop, and expand a core SDK and Demo App ecosystem for identity document scanning hardware, embedding image processing, calibration algorithms, and data capture libraries (OCR, barcode decoding). Port the SDK across multi-device and networked environments (Windows, Linux, embedded systems, tablets), optimize low-latency image pre-processing pipelines, integrate third-party recognition libraries, and collaborate with firmware engineers on device-level communication protocols.…See more Write technical documentation and API references for B2B clients. Requires 3–5+ years of professional C++ and C#/.NET development with hands-on computer vision (OpenCV) experience.

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.

Design, develop, and expand an SDK and Demo App ecosystem for identity document scanning hardware across Windows, Linux, and embedded systems. You'll architect core APIs integrating image processing, OCR, and barcode libraries, optimize low-latency image pipelines, and port solutions to cross-platform networked environments.…See more The role requires 3–5+ years of C++ and C#/.NET development with solid hands-on computer vision experience using OpenCV and hardware interface protocols (USB, Serial, PC/SC).

Design, develop, and maintain a multi-platform SDK and demo application for identity document scanning hardware, with responsibility for core image processing pipelines, OCR/barcode integration, and hardware communication protocols. The role requires expertise in C++, C#/.NET, and embedded systems programming, including low-latency image pre-processing, cross-platform porting to Linux and edge devices, and RESTful/WebSocket network architectures.…See more You will work closely with firmware engineers on hardware interfaces (USB, Serial, PC/SC) and produce technical documentation for global B2B clients.

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.

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.

Design and architect AI/ML platforms optimized for Qualcomm's hardware (GPU/NPU) and software stack, with focus on end-to-end performance analysis, algorithm tuning, and system bottleneck reduction. Analyze ML workloads across Computer Vision, Audio, Generative AI, and Agentic AI domains; correlate device performance against pre-silicon predictions; and develop reference implementations and tools for third-party developers.…See more Requires 15+ years in high-performance computing systems engineering or software with 5+ years in AI system optimization, strong expertise in AI frameworks and performance profiling, and ability to lead cross-functional teams and articulate complex technical concepts.

Senior Staff engineer responsible for automotive software testing, focusing on functional safety and AI infrastructure for Snapdragon Digital Chassis platforms (telematics, digital cockpit, ADAS, autonomy). Will design and execute manual and automated test plans across embedded systems, multimedia, computer vision, and AI/neural network components using HIL/SIL methodologies.…See more Requires 6+ years of systems test engineering with deep expertise in test automation (C/C++, Python), Linux/QNX/Android kernels, and preferably automotive domain experience with AUTOSAR fundamentals.

As a Multimedia Engineering Intern at Qualcomm, you will work on system-level architecture, analysis, and optimization of multimedia technologies including camera, video encoding/decoding, audio, speech, GPU, and computer vision across Snapdragon devices. The role focuses on HW/SW co-design and power/performance optimization for billions of devices globally.…See more You'll contribute to projects in graphics, computer vision, imaging, speech/audio, video processing, or software tools, depending on your background and interests. The internship requires 11–14 weeks availability (May–September 2027) and a strong foundation in C/C++, Python, and domain-specific knowledge (signal processing, deep learning, or GPU/graphics experience preferred).

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.

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.

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.

Senior embedded DSP software engineer role developing platform software for CPU, DSP, and NPU processors in Snapdragon SoCs. Responsibilities include designing multi-processor multimedia and AI frameworks, developing high-performance drivers and runtime libraries, profiling and optimizing system performance for DSP acceleration, and collaborating with hardware and firmware teams on design trade-offs.…See more Requires strong C/C++ programming, real-time operating systems, driver development, and computer architecture expertise, with experience optimizing software on resource-constrained platforms.

Senior staff engineer responsible for designing, developing, and debugging platform software drivers and modules for next-generation automotive SoCs. Will lead development efforts across multiple domains including Linux/QNX kernels, bootloaders, device drivers, multimedia systems, and low-power management frameworks.…See more Requires 6+ years of software engineering experience with deep hands-on expertise in embedded systems, ARM architecture, C/C++ programming, and SoC hardware debugging. Will collaborate with hardware, systems, and test teams to deliver automotive infotainment, telematics, and autonomous driving solutions.

Design, develop, and optimize embedded firmware systems for Meta's AR, VR, and wearable devices, working across kernel, drivers, and connectivity protocols (Wi-Fi, Bluetooth, Cellular, UWB). Lead hardware bring-up, silicon integration, and power/performance optimization while debugging complex multi-layer system issues and integrating components from partner teams.…See more Requires 7+ years of software development (3+ in embedded systems) with strong C/C++ expertise, large-scale codebase experience, and demonstrated technical leadership.