Software Engineer Jobs in Oakland, CA

As a Senior Full Stack Software Engineer at Doxel, you will design and develop applications for project management, focusing on complex data handling and intuitive UI. Your role involves collaborating across teams and providing technical leadership in software projects.

The Senior iOS Engineer will lead engineering decisions, ship production code for the Speechify iOS app, and enhance the app architecture. The role requires experience with scaling products, customer focus, and strong technical skills in Swift and SwiftUI.

Build and own AI-driven workflows and agentic systems, integrate LLMs, manage CI/CD and cloud infrastructure, handle monitoring and incident triage, automate ops, contribute full-stack when needed, and communicate technical tradeoffs to non-engineering stakeholders.

Lead the technical design and delivery of banking features at Cash App, collaborating across teams, driving architecture improvements, and mentoring engineers.

The Staff Software Engineer will develop and execute technical strategies for Cash App Banking, lead architectural decisions, and mentor engineers, focusing on innovative financial solutions.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

The role involves designing and implementing software infrastructure for autonomous systems, collaborating across domains, and optimizing performance metrics.

The Software Engineer will develop software for brain-computer interface applications, involving data curation strategies, BCI decoding algorithms, and collaboration with engineering and neuroscience teams.

As a Software Engineer on the Surfaces team, you'll develop user-facing UIs, CLIs, and APIs for PlanetScale's database platform, focusing on enhancing user experience and solving challenges in database management.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.

The engineer will derive requirements for safe driving in self-driving vehicles, collaborate on algorithms, and support testing and system design for autonomy.

As an Embedded Software Performance Engineer at Zendar, you will implement and optimize high-performance pipelines for embedded systems, working closely with researchers and product teams to enhance algorithm efficiency and performance.

The Software Engineer will design and build systems for sharded PostgreSQL, collaborate with a team to solve distributed systems challenges, and directly engage with customers to create technical solutions.

As a Software Engineer on the Insights team, you'll develop observability products and enhance database performance monitoring for clients using Vitess, MySQL, and PostgreSQL.

Build and maintain user-facing features using React and TypeScript, collaborate with teams on growth experiments, and improve frontend architecture.

Build and ship full‑stack product features for a browser-based CAD application: own front-end architecture and UX, maintain backend services (APIs, Postgres on GCP), write well-tested high-performance code (including C++ core), and lead customer-facing technical engagements to turn feedback into product improvements.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

The Principal Software Engineer will design and optimize backend applications/services, improve payment integration, and oversee code quality within AWS.