probability jobs in San Diego

As a Staff Machine Learning Engineer focused on model optimization, you will create and implement ML techniques, frameworks, and tools enabling efficient discovery and deployment of state-of-the-art ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, develop optimized inference/training software and compiler tools, and collaborate with cross-functional teams on joint hardware-software design.…See more The role requires 4+ years of hardware/software/systems engineering experience (or equivalent with advanced degree), deep expertise in ML frameworks (TensorFlow, PyTorch, Keras, Caffe), embedded systems optimization, and programming languages like Python or C++. You will work independently with minimal supervision, provide technical guidance to team members, and influence key organizational decisions through consultation with senior leadership.

An embedded systems software engineer role designing, implementing, and optimizing C applications for real-time signal processing on custom SoCs. The engineer will port signal processing algorithms from MATLAB/Python/C++ to optimized C code, develop Hardware-in-the-loop tests, and work across multi-disciplinary teams of software engineers, systems engineers, hardware designers, and signal processing experts.…See more Requires 8+ years of C/C++ embedded systems development, strong signal processing fundamentals, and hands-on Linux development experience.

As an AI Performance Engineer at Qualcomm, you will create and implement machine learning techniques, frameworks, and tools for efficient discovery and deployment of ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, optimize software for AI model deployment on hardware (kernels, compilers, model efficiency tools), and develop ML techniques into products.…See more You will conduct experiments to train and evaluate ML models, work independently with minimal supervision, and provide technical guidance to team members. The role requires 4+ years of hardware/software/systems engineering experience, proficiency with ML frameworks (TensorFlow, PyTorch, Keras), embedded systems optimization, and programming languages suited for ML (Python, C++, R).

As an LLM Engineer at Qualcomm, you will create and implement machine learning techniques, frameworks, and tools for efficient discovery and deployment of ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, develop optimized software for AI model deployment (kernels, compilers, model efficiency tools), and lead ML technique application into products.…See more You will work independently with minimal supervision while providing technical guidance to team members and collaborating across cross-functional teams on joint hardware-software design.

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.

Algorithm Software Engineer responsible for designing, implementing, and testing C applications in real-time embedded systems within multi-disciplinary teams. The role involves porting and optimizing signal processing algorithms from MATLAB, Python, or C++ to C for multi-core DSP applications, leveraging SIMD, VLIW, and hardware accelerators to meet real-time requirements.…See more Responsibilities include developing Hardware-in-the-Loop tests, optimizing code for performance, and communicating technical details with internal and external stakeholders. Requires 8+ years of embedded C/C++ development experience, strong signal processing knowledge, Linux proficiency, and active Secret-level security clearance with ability to obtain TS/SCI.

Develop software for the Qualcomm AI Stack SDKs (QAIRT and Genie) to enable execution of generative AI models and large language models on Snapdragon platforms. You will validate, optimize, and debug machine learning inference solutions, collaborating with cross-functional teams on feature development, performance analysis, and system reliability.…See more The role requires expertise in machine learning frameworks, embedded systems optimization, programming languages like Python or C++, and low-level OS/hardware interactions.

Leidos seeks a Sensing Algorithm Engineer to research, develop, and implement novel algorithms for remote sensing applications. The role involves prototyping algorithms in Matlab or Python, implementing efficient C software, conducting performance testing and analysis, and documenting results for customers.…See more The ideal candidate has a BS/MS/PhD in physics, engineering, or mathematics with 4–8 years of experience, fluency in high-level languages, strong signal processing knowledge, and understanding of probability, statistics, linear algebra, and physics. The position requires an active Top Secret security clearance and full-time on-site work in San Diego, CA.

Senior Software Engineer with 10+ years of experience to develop advanced algorithms and software applications using C++, Python, MATLAB, and TensorFlow in Linux environments. The role involves designing object-oriented software, prototyping AI/ML solutions, utilizing DevOps tools (GitLab, Docker, Podman), troubleshooting complex systems, and providing technical leadership to customers and internal teams.…See more Strong mathematical foundation in probability, statistics, estimation theory, and machine learning is required to support algorithm development in a defense technology context.

Senior Software Engineer/Research Scientist applying advanced mathematical and algorithmic expertise to defense technology development. Responsibilities include algorithm development in probability, statistics, estimation theory, machine learning, and optimization; designing and maintaining C++ software applications in Linux environments; prototyping AI/ML solutions in MATLAB, Python, and TensorFlow; and managing DevOps workflows using GitLab, Docker, and Podman.…See more Requires 10+ years of engineering experience, a B.S. in engineering/mathematics, and ability to obtain a DoD Secret clearance.

As an AI Software Engineer at Qualcomm, you will develop and optimize machine learning software for the Qualcomm AI Stack (QAIRT and Genie SDKs), enabling efficient execution of large language models and deep neural networks on Snapdragon platforms. You will validate and optimize performance of generative AI models, debug complex issues, and collaborate across teams to deliver robust AI solutions.…See more The role requires strong software design, programming, and debugging skills, with expertise in machine learning frameworks, embedded systems optimization, and languages like Python or C++. You will work with minimal supervision, participate in design reviews, and contribute to a culture of technical excellence.