Top Python Jobs in San Diego, CA

As the Autonomous Vessel Test Director, you will lead testing and evaluation processes for autonomous vessels, ensuring readiness for deployment and defining standards of performance and reliability.

The Product Intelligence Analyst will embed data-driven decision-making into product development, applying analysis techniques to enhance user engagement and optimize performance.

Lead a team to solve analytical problems using AI and ML by managing projects, ensuring data quality, and conducting statistical analyses.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

The Director will lead Commercial Analytics, driving business insights to maximize opportunities, develop dashboards, and report metrics and KPIs to stakeholders.

Design, develop, and maintain data-driven solutions, automate processes, ensure data quality, and build scalable tools applying modern software practices.

Design and develop AI-driven solutions, mentor junior engineers, and lead complex projects in a staff software engineering role primarily using Python.

As a Hardware Engineer II, you'll design and develop hardware systems for spacecraft and conduct performance testing while collaborating with cross-functional teams.

The Data Scientist V will develop AI solutions, predictive analytics, and lead data science projects to improve healthcare outcomes. Responsibilities include mentoring, collaboration with expert teams, and project delivery.

Support product development through data analysis, collaborate with teams for actionable insights, and maintain data pipelines and database schemas.

As a Systems Engineer, you'll develop and validate software for autonomous vehicles, focusing on deployment, testing, and integration with various sensors.

The role involves developing cloud solutions and enhancing ML/AI pipelines, ensuring service availability, and automating deployments in a scalable environment.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

Develop and troubleshoot middleware and communication software, including features for EdgeOS, simulation development, and systems integration.

Lead a technical team in the development and integration of autonomy algorithms for aerospace and defense systems, ensuring seamless performance and collaboration.

The Presales Solutions Engineer will provide technical expertise in presales activities, support product integration, and collaborate with customers and engineering teams.

As a Senior Engineer on the Software Systems team, you will define system requirements, support architecture design, and collaborate across teams on system integration for autonomy platforms.

The Software Applications Engineer will support customers with integration and technical issues of AI & Autonomy software, develop applications, and assist in documentation and training.

Lead the analysis of structural and aerodynamic load cases for next-gen air vehicles, collaborating with various engineering teams to ensure accurate load path validation through tests or simulations.

As a Software Engineer II, you will design and implement automation for infrastructure, maintain infrastructure-as-code, and support AI engineers with infrastructure needs.

Design and implement scalable cloud solutions, mentor teams on best practices, and manage cloud security while ensuring system performance and reliability.

Develop and assist in automation frameworks, validate EdgeOS quality, collaborate with teams, and address software quality issues in robotics.

Design and implement scalable software systems, develop backend services and APIs, manage data pipelines, and ensure secure deployment of intelligent systems for autonomy.

The Machine Learning Engineer will build and scale ML infrastructure, drive model performance, and ensure reliability while collaborating with various teams to optimize feature engineering pipelines and champion best practices.

The Senior Cyber Analyst monitors alerts, investigates incidents, collaborates on detection logic, and participates in threat hunting to enhance cybersecurity operations.