computer-vision jobs in San Diego

Design, implement, and optimize video processing and computer vision algorithms for mobile and embedded platforms at scale, from concept through production deployment. Profile and optimize algorithm performance across memory, compute, power, and bandwidth constraints on SoCs with embedded accelerators.…See more Lead system and algorithm-level architecture, collaborate with cross-functional hardware and software teams, and provide technical mentorship to engineers across experience levels.

Design, implement, and commercialize middleware/driver modules for multimedia on Qualcomm multi-processor chipsets across Windows, Linux, and Android platforms. Work on user and kernel mode software for video compression, playback, streaming, and imaging applications while optimizing for performance, latency, power, and stability.…See more Collaborate with systems engineering, test groups, and partners like Microsoft and Google across multiple sites. Requires 1–5 years of embedded software development, strong C/C++ skills, video compression standards knowledge (H.264, H.265, AV1), and expertise in embedded real-time OS debugging and ARM SoC development.

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.

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.

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.

Design, develop, and expand an SDK and Demo App ecosystem for identity document scanning hardware, architecting core APIs that embed image processing, advanced calibration algorithms, and data capture libraries (OCR & barcode decoding). Optimize low-latency image pre-processing pipelines, integrate third-party recognition libraries, and port the SDK across multi-device and networked environments (Linux, embedded systems, tablets, edge devices).…See more Work closely with firmware engineers on device communication protocols (USB, Serial, PC/SC) and write technical documentation for global B2B clients. The role requires 3–5+ years of professional C++ and C#/.NET development with hands-on computer vision (OpenCV), embedded systems knowledge, and strong technical communication skills.

Lead the design and implementation of computer vision features and on-device prototyping using Snapdragon Vision API. Support engineering teams in building, integrating, and deploying CV APIs for commercial products across mobile, autonomous vehicles, IoT, and AR/VR platforms.…See more Develop technical documentation and sample materials showcasing CV capabilities to end-application developers. Requires 3–5 years of hands-on CV application development, strong understanding of CV algorithms and deep-learning pipelines, and proficiency in C/C++ and Python for rapid on-device prototyping.

Lead the design and development of embedded NPU software frameworks, runtime libraries, and system drivers for AI acceleration across Snapdragon SoCs. Architect optimizations for high-performance, low-power multimedia and machine learning workloads spanning mobile, automotive, compute, and XR platforms.…See more Work across the full software stack—from low-level drivers to high-level frameworks—collaborating with hardware and systems teams. Mentor engineers, drive technical decisions, and own system-level integration across CPU/DSP/NPU subsystems.

Senior Software Architect role leading technical strategy for complex manufacturing systems including additive manufacturing, machine control software, MES/ERP integrations, and fleet telemetry. Requires 8+ years of software engineering with 3+ years in architect/principal engineer roles, deep proficiency in C++, Rust, Python, C#, or Go, and hands-on experience with real-time systems, edge computing, motion control, and high-rate sensor data processing.…See more Responsibilities include architectural design, mentoring engineering teams, trade-off analyses, and cross-functional collaboration on New Product Introduction cycles, with expectation to operate credibly at both executive and hands-on technical levels.

As a Platform Software Engineer in Qualcomm's Automotive group, you will design, develop, and validate embedded software, drivers, and firmware for next-generation automotive solutions including infotainment, telematics, and autonomous driving systems. You will lead development and debugging of platform software modules, collaborate with hardware and systems engineers, and interact with automotive customers to deliver requirements-compliant solutions.…See more The role requires understanding of hardware-software integration across CPU, accelerators, and standard hardware blocks, with expertise in embedded software layers such as boot, drivers, firmware, security, and safety kernels. You will work with automotive industry standards, embedded systems on ARM-based SoCs, and tools such as JTAG debugging and C programming.

Senior Multimedia Systems Engineer will independently design and develop multimedia technologies including speech, audio, imaging, computer vision, display, sensing, biometrics, and AR/VR. The role involves analyzing use cases, performing functional decomposition to drive requirements, and conducting system analysis using simulation modeling to optimize performance and power.…See more The engineer will propose algorithmic and system modifications and contribute actively at design reviews and project meetings. A Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field is required.

Design and architect next-generation ML inference infrastructure for globally distributed, multi-tenant model serving with high availability, scalability, and cost efficiency. Lead the development of low-latency, high-throughput inference systems supporting computer vision and multimodal models (CNNs, segmentation, object detection) using Scala, Java, and Go.…See more Build large-scale distributed systems with reactive frameworks, integrate enterprise feature stores, and extend CI/CD pipelines (GitHub Prow, Pulumi) with automation and policy enforcement. Design advanced observability frameworks, optimize ML algorithms for performance, mentor engineers, and ensure MLOps and compliance standards (GDPR, SOC2) across the platform.

Lead ADAS R&D software engineering efforts for autonomous vehicle perception and decision systems at Qualcomm. Design, develop, and optimize embedded software blocks including deep-learning-based camera perception, lidar/radar perception, multi-sensor fusion, object tracking, behavior prediction, trajectory planning, and vehicle control.…See more Develop efficient middleware for sensor data sharing and SDKs enabling customer proof-of-concepts. Requires Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field plus 7 years of related experience.

Lead a specialized team of software engineers developing innovative Pixel sensor experiences at the intersection of hardware, software, and AI. You will drive the design and implementation of real-time embedded systems that process sensor signals efficiently while applying machine-learning and signal-processing algorithms in a power-optimized manner.…See more Required: 8 years software development experience, 5 years in computer vision or signal processing, 5 years leading ML design and infrastructure optimization, and 3 years technical leadership. This role demands deep expertise in embedded software, AI/ML algorithms, sensor fusion, and the ability to independently architect systems while managing a team.

Design and build large-scale multimodal foundation models that integrate high-dimensional biomedical imaging with molecular and language data. You will implement cross-domain data fusion strategies, develop high-performance ML pipelines for petabyte-scale datasets, and collaborate with scientists and engineers to translate biological complexity into scalable, production-ready code.…See more The role requires deep expertise in Computer Vision architectures, distributed training frameworks, and expert Python proficiency. You will contribute through high-impact publications or open-source work and demonstrated ability to handle the noise and sparsity inherent in biological data.

Lead architecture, design, and development of XR platform software (AR/VR/MR) on Snapdragon platforms, working across system architecture, embedded software, graphics, AI/ML, and computer vision. Translate product requirements into implementation specifications, drive architectural trade-offs for performance and power efficiency, and provide technical leadership across multiple teams.…See more Requires strong C++ proficiency, experience with heterogeneous computing systems (CPUs, GPUs, DSPs, AI accelerators), Android/Linux embedded platforms, and 8+ years of software engineering experience.

Qualcomm seeks a Principal Engineer to lead the architecture, design, and development of XR platform software (AR/VR/MR) on Snapdragon platforms. The role requires deep expertise in C++, heterogeneous computing (CPUs, GPUs, DSPs, AI accelerators), Android/Linux embedded systems, and system-level performance optimization.…See more Responsibilities include defining platform requirements, conducting architecture trade-offs for power/latency/performance, collaborating with computer vision and AI/ML teams, and driving technical decisions across multiple product areas. The ideal candidate brings commercial product experience and expertise in computer vision, graphics, SLAM, sensor fusion, or XR frameworks.