object-detection jobs in San Diego

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. Develop unit and integration tests, work with simulation and hardware-in-the-loop testing, and collaborate across electrical and mechanical engineering teams to validate software requirements and integrate capabilities across platform interfaces and command-and-control systems.See more

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.

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.

Shield AI seeks software engineer interns for a 10–12 week paid program, working on autonomous systems across applications, embedded firmware, machine learning, and systems development. Interns will analyze requirements, write production-quality code in languages like C++, Python, or Java, and ship real features using Agile practices alongside full-time engineers.…See more The role spans user-facing applications, embedded flight software, perception models, and platform tools that support autonomy pipelines. Candidates should have a strong foundation in data structures, algorithms, version control (Git), and collaborative development.

Design and architect next-generation mobile computer vision and deep learning systems for Qualcomm's AI accelerators and heterogeneous platforms. Define hardware-aware algorithm implementations, deep learning engine architectures, HW/SW partitioning strategies, and performance/power optimization across CPUs, GPUs, DSPs, NPUs, and dedicated accelerators.…See more Analyze neural network workloads, drive top-down architecture exploration, and collaborate with hardware teams to translate state-of-the-art CV and AI models into efficient mobile implementations.

Shield AI seeks software engineering interns for a 10–12 week paid program working on autonomous systems across applications, embedded firmware, machine learning, and systems platforms. Interns will analyze requirements, write production-quality code, and ship real features alongside full-time engineers using Agile practices.…See more Candidates should have proficiency in modern programming languages (C, C++, Python, Java, or JavaScript), solid foundations in data structures and algorithms, version control experience, and strong problem-solving skills. The role offers hands-on mentorship and potential for a full-time offer upon completion.

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 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 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.