Software Engineer Jobs in Oakland, CA

Lead design and operation of Block's real-time, event-driven data systems. Build and run high-throughput streaming pipelines, turn Kafka event streams into low-latency data products, improve reliability and observability, mentor engineers, and define platform architecture and standards for projections, third-party data proxy, and graph data capabilities.

Own and maintain the backend stack: build APIs and services in Node.js, manage deployments with Docker/Linux, design scalable REST APIs with Swagger, collaborate with hardware/frontend teams, and prepare sensor datasets for AI/ML pipelines with an eventual path to Lead AI Engineer.

Build and operate core backend services, APIs, and platform components for enterprise AI; integrate LLMs, retrieval and agent workflows; ensure reliability, observability, testing, and scalability; collaborate with research, product, and design to productionize AI capabilities.

As a DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.

Join Ema as a Software Engineer to design and develop user interfaces for web applications, collaborating with product managers and UX designers, and integrating APIs.

As a Full-Stack Software Engineer, you will build end-to-end features, develop backend services, and create frontend applications while using AI-assisted tools and collaborating with teams.

Lead and execute perception R&D and engineering for factory robots: define multi-year roadmap, architect perception pipelines (detection, segmentation, 6-DoF pose, scene understanding), drive sensor fusion and calibration, establish data/model workflows and deployment practices, integrate with planning/control, hire and mentor engineers, and evaluate research for production adoption.

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.

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 Software Engineer will manage data collection and ingestion for AI model training, enhance cloud infrastructure on GCP, and work closely with AI scientists.

Design and implement MAC control-plane software for satellite point-to-point and point-to-multipoint links. Develop schedulers, admission-control, state machines, QoS, flow control, and link-adaptation logic. Define interfaces to PHY/modem/hardware, evaluate centralized vs. distributed architectures, build simulation and test capabilities, and lead development through hardware integration, qualification, and deployment.

Build and maintain ML training and inference infrastructure, model APIs, and design pipelines. Partner with ML and protein design scientists to convert research into reproducible tooling and production services. Optimize compute and storage, implement CI/CD, monitoring, and follow engineering best practices to scale and accelerate protein design workflows.

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 and build distributed manufacturing software coordinating state, timing, and behavior across hardware. Implement APIs, real-time controllers, instrumentation for ML/AI, and reliability/observability. Drive architecture decisions, improve CI/CD and testing practices, debug across software/firmware/hardware, and collaborate with cross-functional engineering teams to converge on a production-ready platform.

Senior hands-on full-stack engineer who leads architecture, drives cross-team technical roadmaps, implements scalable Django/React systems, improves CI/CD and testing practices, mentors engineers, and partners with product, clinical, and executive stakeholders to translate business needs into durable technical solutions.

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.

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.

Lead architecture and implementation across the full stack, rework user and license management, and develop core runtime components for a code-first PCB design product. Drive technical direction, identify and fix technical debt, mentor engineers, perform code reviews, and build production-ready, high-performance systems involving computational geometry and advanced visualization.

Develop, test, and deploy core robotics libraries and runtime application software across the robotics stack to improve warehouse operations. Work with the software team and CTO, own design through implementation and testing, and act as tech lead on projects.

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.

The role involves leading engineering decisions for the iOS app, shipping production code, enhancing app architecture, and engaging in product discussions.

Build production-grade AI workflows, automations, and voice AI agent systems for internal and customer-facing use. Ship code to production, work cross-functionally with founders and engineers, and design integrations, tooling, and infrastructure that scale company operations and customer experience.