optimization jobs in San Diego

As an Applied AI & Optimization Engineer, you will own optimization algorithms and ML systems for a manufacturing intelligence platform spanning planning, simulation, and AI assistance. You'll design scheduling and resource-allocation solvers, build analytics layers for operational intelligence, and lead LLM integration for both cloud and air-gapped DoD deployments.…See more The role requires 5+ years shipping production optimization or ML systems, deep Python proficiency, hands-on experience with MILP/constraint solvers or OR-Tools, and strong applied math skills in combinatorial optimization and statistical modeling.

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.

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.

Lead research projects in AI/ML across areas including decision-focused AI, probabilistic modeling, causal inference, agentic systems, neuro-symbolic AI, and LLM-based reasoning. Define technical direction, mentor junior researchers, and translate research innovations into Intuit's products.…See more Requires a PhD, 8+ years of post-PhD research experience with top-tier publications, and deep expertise in one or more focus areas. Proficiency in Python, PyTorch, or TensorFlow, and strong fundamentals in deep learning, optimization, and statistical machine learning are essential.

Design, develop, and implement modem power optimization features within the modem protocol stack for Pixel devices. Analyze power consumption across LTE and 5G NR network conditions to identify optimization opportunities, collaborate with modem vendors and platform teams on power reduction initiatives, and build automated power measurement tools and dashboards to track KPIs.…See more Requires 1+ years of C/C++ coding experience and hands-on power management of embedded mobile devices, with strong performance analysis, debugging, and optimization skills for low-level systems.

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.