Top Python Jobs in San Diego, CA

As an AI Vision Solution Architect, you'll design AI-powered solutions, collaborate with teams, manage projects, and cultivate customer relationships to enhance product evolution.

Design and develop scalable software components, mentor junior engineers, collaborate with product teams, and integrate AI in workflows.

The Principal Software Engineer will define and build the Workflow Automation Engine, integrating AI with workflow processes, overseeing design and performance optimization, and leading engineering initiatives within the team.

The Principal Software Engineer will architect and develop frameworks enhancing user experience and AI capabilities, drive technical initiatives, and mentor engineers in scalable software development.

The Sr Software Engineer for NLP will design and develop advanced NLP technologies for medical applications, working with various stakeholders.

Design and develop NLP technologies for medical applications, enhance existing systems, and evaluate performance on clinical documents. Collaborate with engineers and present analytics.

Responsible for full chip and block level timing closure, developing methodologies, handling timing constraints, and collaborating with multi-functional teams.

The Senior SoC Verification Engineer will implement verification strategies for SoC modules, collaborate with design engineers, and automate test cases to enhance verification efficiency.

The Senior SoC Verification Engineer will drive the verification of SoC RTL designs, develop tools, integrate IP models, and automate test cases.

Lead the deployment, optimization, and debug of large-scale SoC designs on emulation platforms, collaborating with teams on performance analysis and software development while mentoring junior engineers.

Drive verification of SoC RTL designs, develop and maintain testbenches, integrate IP models, and automate verification tasks using scripting.

The Senior SoC Verification Engineer will verify SoC RTL designs, develop tests and automation tools, and ensure thorough verification through collaboration with design teams.

Seeking a SoC Low Power & Power Analysis Engineer to develop automation frameworks, data engineering solutions, and machine learning models for power estimation. Requires expertise in low-power design methodologies and AWS technologies.

The Staff SoC Verification Engineer will develop verification strategies, automate test cases, and work closely with design teams to validate System-on-Chip designs.

Develop CAD solutions and EDA tool flows for power and timing efficiency. Collaborate on VLSI CAD software and integration with internal design teams and external partners.

The role involves developing compute subsystem products and SoC's, emphasizing design and verification workflows for SoC hardware development, requiring strong scripting and RTL design knowledge.

As a Principal SoC Verification Engineer, you'll lead verification strategies, ensuring thorough testing of SoC designs, collaborating closely with teams, and automating test cases to enhance efficiency.

The role involves verifying SoC RTL designs, maintaining SoC verification testbench, automating test cases, and collaborating with design engineers.

Lead the design team for JTAG and Fuse Subsystems in SoC development, focusing on subsystem specifications, RTL development, and collaboration with verification teams. Provide technical guidance while mentoring junior staff and ensuring design quality across projects.

Lead hardware emulation for SoC designs, optimize processes, mentor junior engineers, and collaborate with teams to improve performance.

Develop scalable power models for SoCs, analyze performance per watt, and collaborate with teams on power optimization and management.

Operate and maintain cloud network infrastructure, troubleshoot network issues, analyze metrics, and automate deployments in a hybrid cloud environment, collaborating with teams to enhance operational reliability.

The role involves managing cloud infrastructure, developing automation tools, and ensuring system efficiency while supporting federal customers.

Operate and maintain cloud network infrastructure, troubleshoot issues, manage cloud environments, and support network operations in a hybrid environment, while driving automation and collaborating with SRE teams.

The internship involves technical work in project teams, collaborating on sensor systems development, including algorithms for signal processing and machine learning.