Software Engineer Jobs in Berkeley, CA

As a Software Engineer, you will develop software for clinical BCI applications, engage in code reviews, and collaborate with scientists and engineers while traveling between offices.

The Software Engineer will enhance Lending products for Cash App, focusing on building complex systems, APIs, and collaborating with multiple teams to support economic empowerment through accessible credit.

As a Software Engineer, you will design and build backend services and integrations for financial operations, focusing on scalable technology solutions and AI enablement, while collaborating with cross-functional teams to ensure compliance and data integrity.

As a Software Engineer III at GlossGenius, you will lead data engineering efforts, designing and implementing data models and pipelines while mentoring engineers and shaping the data platform's vision.

Looking for a Software Engineer to build financial products and tooling for Cash App's Lending team, ensuring quality and compliance while collaborating across domains.

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.

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 Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

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.

Design, build, and operate authentication and authorization systems for millions of users and devices. Drive IAM strategy for AI agents, implement secure, standards-based solutions, mentor engineers, partner with cross-functional teams on security, compliance, and scalable distributed system architecture.

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.

Lead the design and evolution of predictive maintenance platform, build and scale ML-powered features, and mentor other engineers.

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

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.