Software Engineer Jobs in Berkeley, CA

As a Senior Full Stack Software Engineer, you'll develop and ship products across the tech stack, influencing product direction and company culture while collaborating closely with team members.

Design behavioral specs, harnesses, and validation systems so AI agents implement reliable full-stack features. Build CI gates, structural tests, linting, knowledge bases, and end-to-end verification. Diagnose failures across spec, harness, and agent layers. Architect and operate production systems across cloud and on-prem environments for regulated energy deployments, prioritizing reliability, observability, and graceful degradation.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

The Full-Stack Product Engineer will design and develop AI-focused products, manage the feature lifecycle, and advocate for process improvements.

Lead transaction reconciliation efforts, develop scalable ledger infrastructure, implement payment flows, and own backend platform projects end-to-end.

As a Senior Backend Engineer, you'll design scalable backend systems, build foundational architecture, and manage complex projects within a voice AI-driven platform.

As a Senior Full-Stack Engineer at Retell AI, you'll develop scalable systems and intuitive interfaces, bridging backend integrations with frontend experiences, focusing on voice automation solutions.

Join the Platform team to integrate sensors and perception models, develop and maintain data-collection and demo infrastructure, drive software standards, and deliver production-ready features across embedded, backend, and UI layers.

As a Staff Software Engineer at Arc, you will lead the design and development of a new AI-native banking platform, focusing on reliability and scalable systems for cash management and treasury solutions, while influencing product direction and mentoring team members.

Build high-performance, scalable simulation infrastructure and tooling for autonomous vehicle development. Design systems for scenario generation, simulation execution, synthetic data, and reinforcement-learning workflows. Collaborate with ML, perception, and controls teams to improve realism, performance, and validation pipelines while writing production-quality C++ and Python code, contributing to architecture, testing, and documentation.

The Staff Software Engineer will design and implement core platform development, improve system foundations, and lead technical initiatives to enhance AI automation deployment across organizations.

The Senior Software Engineer will lead application development projects, enhance user-facing applications, and implement best software practices while collaborating on product direction.

Build and scale AI data and ML infrastructure: evaluation systems, fine-tuning pipelines, agent-first product surfaces, high-throughput data workflows, and integrations of new models into production.

Lead design and implementation of cloud, mobile, and internal software systems. Build data pipelines, support device integration, ship reliable production features, mentor engineers, and participate in occasional on-call incident response.

Build and ship user-facing software; collaborate with product and design; mentor engineers; fix product defects; provide on-call support; and contribute to documentation and technical interviews.

Lead technical projects for product scaling. Design and maintain APIs and services, ensuring reliability and user experience while collaborating with product teams.

Design, build, and scale highly available backend services on AWS using Node.js. Develop event-driven systems, REST/GraphQL APIs, and ensure reliability through testing, observability, and security best practices. Collaborate with product, frontend, and infrastructure teams and debug production issues.

Lead end-to-end design and delivery of backend, API, and authentication systems for a high-scale real-time calling platform. Architect APIs and auth models, write design docs, improve observability and DevEx, mentor engineers, collaborate with Product and Design, participate in on-call, and ensure reliability and performance.

As a Senior Software Engineer at Elicit, you will build features for an AI research assistant, ensuring quality while collaborating with a small team.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Lead design and implementation of distributed software coordinating state, timing, and behavior across manufacturing hardware. Drive architecture decisions, evolve APIs, instrument systems for observability and ML consumption, improve testing/CI/CD, debug across software/firmware/hardware, and collaborate with cross-disciplinary engineers to deliver reliable, real-time manufacturing platform software.

Design, develop, configure, and support enterprise Oracle Cloud EPM solutions (Planning, FCCS, ARCS, EDMCS, Narrative Reporting). Build integrations (REST APIs, EPM Automate, OIC), develop business rules/Groovy scripts, automate data loads and financial close processes, maintain BI Publisher reports, provide production support, lead upgrades and environment refreshes, optimize performance, enforce governance, and mentor junior engineers while partnering with Finance and IT stakeholders.

Lead architecture and core runtime foundations for a distributed scanner platform, driving reliability, observability, performance, and engineering rigor while collaborating with hardware and ML teams and mentoring engineers.

Design, build, and maintain cloud-native microservices and scalable search/data ingestion systems. Lead architecture, optimize database performance, implement event-driven solutions, mentor engineers, and collaborate across product teams to deliver reliable, production-ready cybersecurity platform features.

Develop software and systems for embedded platforms at Aquabyte, focusing on sensor interfaces, network reliability, and hardware diagnostics while collaborating with research teams on machine learning models.