tool-integration jobs in San Diego

Design, develop, and optimize production machine learning systems including model development, inference optimization, and scalable ML infrastructure. Build end-to-end ML pipelines from training through deployment, optimize model inference for latency and cost, integrate LLM/ML models into APIs and microservices, and engineer data pipelines for preprocessing and validation.…See more Requires strong software engineering fundamentals with deep ML expertise, proficiency in Python and systems languages, and experience with ML frameworks, model serving, and distributed computing.

As an Applications Engineering Consultant for Siemens EDA's Emulation division, you will provide technical sales support and hands-on expertise to customers evaluating and deploying Siemens Veloce Strato emulation and prototyping solutions. You'll work directly with customers during product evaluations, troubleshoot technical obstacles, deliver presentations on product features, and communicate customer requirements back to product development teams.…See more The role requires 7+ years in chip/ASIC design, verification, or emulation/prototyping, with deep expertise in SystemVerilog/Verilog/VHDL, RTL design, industry emulation tools (Veloce, Palladium, ZeBu), and simulation environments (Questa, VCS, Incisive). You'll leverage scripting languages (Python, Perl, Tcl, shell) and EDA tool integration knowledge to help customers optimize their design flows and build long-term technical relationships.