Top Remote Python Jobs in San Diego, CA

As an Embedded Perception Engineer, you'll develop perception pipelines for autonomous systems, focusing on vision model development, sensor fusion, and optimization on embedded hardware.

Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

As a Forward Deployed Engineer, you will work with GTM teams, helping them maximize the use of Endgame's AI platform, build customer relationships, and drive adoption while influencing product direction.

The Senior Snowflake Data Engineer will lead the creation of a data vault and warehouse on Snowflake, develop automated data pipelines, and work closely with architects to deliver insights for business operations.

As a Google Cloud Architect, you will design, implement, and optimize secure Google Cloud solutions, develop APIs, and collaborate with teams to enhance cloud infrastructure for the Border Wait Time project.

This role involves owning and evolving the backend platform for AI employees, mentoring engineers, optimizing system performance, and driving architectural decisions at Supernal.

The Senior MLOps Engineer will deploy scalable ML services, optimize resources, manage cloud storage, integrate advanced ML techniques, and set up monitoring solutions, while also automating CI/CD pipelines and workflows.

Lead design and delivery of integrations platform features (SDKs, agents, pipelines). Improve integration authoring, reliability, scalability, observability, and developer tooling. Partner across product and customer teams, mentor engineers, and evaluate emerging technologies to scale integration development and agent-based workflows.

The Senior AWS Engineer coordinates with teams to analyze outages, deploy applications, optimize performance, and automate processes, while maintaining documentation.

The DevOps Lead will design, build, and maintain CI/CD pipelines, manage cloud native applications, and improve infrastructure development using various automation and scripting tools.

The DevOps Engineer will manage cloud services, automate builds, collaborate with partners, and enhance system infrastructures for improved efficiency.

Lead technical discussions and design scalable, cloud-native applications on AWS. Migrate services to microservices architectures and advise on best practices.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

Design, build, and own Marathon's core cloud platform (primarily AWS). Implement IaC (Terraform), automation, self-service, and reliability-by-design. Define platform standards, embed security and compliance (SOC2/HIPAA/HITRUST) into workflows, reduce incidents through better design, and mentor other engineers.

Design and evaluate performance engineering tasks for AI training/evaluation. Optimize runtime, compilers, memory, CPU/GPU and concurrency. Produce documented solutions, evaluate AI-generated code, and build evaluation frameworks and scoring rubrics while collaborating with researchers and SMEs.

The Engineering Manager will mentor a team of engineers, improve processes, collaborate with product managers, and define staffing strategies.

The Staff Engineer will lead the Systems team, design scalable cloud infrastructure, optimize data pipelines, and ensure platform reliability and security.

As a Full Stack Engineer, you will develop backend APIs using Django and integrate front-end components in React, collaborating with cross-functional teams to deliver optimized product features.

As a Backend Engineer, you will design and optimize backend services, collaborate with other teams, maintain APIs, and improve system performance.

As a Senior Frontend Engineer at Cinch, you'll lead the modernization and performance optimization of React-based user interfaces, collaborate with cross-functional teams, and architect scalable UI systems with a focus on AI-driven experiences.

Design, build, and maintain scalable real-time and historical data pipelines and libraries; implement APIs, data quality checks, monitoring, and performance-optimized workflows; collaborate with autonomy, platform, and front-end teams to support fleet data analysis and visualization.

Provide technical support for robotic systems, helping customers troubleshoot issues, collaborate with teams, and document solutions. Maintain knowledge base and improve support processes while achieving KPIs.

As a Site Reliability Engineer, you'll build and manage observability platforms for satellite communications, define SLOs/SLIs, and collaborate on incident response and deployment automation.

As a Forward Deployed Engineer, you'll partner with enterprise customers to implement Kong's API and AI solutions while driving automation, migrations, and production-grade coding in diverse environments.