Software Engineer Jobs in Berkeley, CA

Architect and build highly available control-plane network services for TeraWave’s satellite communications network. Design microservices for subscriber provisioning and session management, develop stateful distributed systems across terrestrial data centers and orbital nodes, and optimize SQL, NoSQL, and time-series databases handling billions of telemetry points. The role also involves cloud-native Kubernetes deployments, service mesh, resiliency patterns, event-driven architecture, and large-scale observability.

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.

Build production-grade AI workflows, automations, and agent systems to power recruiting, security/compliance automation, finance and onboarding tooling, CRM integrations, and growth automations. Work across product, engineering, and operations to design API-based integrations and LLM-powered systems using modern models and automation tools.

Lead development of Luminai’s core platform, including shared frameworks, developer tooling, CI/CD, test infrastructure, observability, reliability, and IDE improvements. Architect high-performance backend systems, remove engineering bottlenecks, and establish secure defaults for authentication, authorization, and secrets management. Drive foundational technical initiatives and improve developer experience across the engineering organization.

Design, build, and maintain Luminai’s core platform infrastructure, backend services, shared libraries, internal APIs, and deployment systems. Lead projects that improve scalability, reliability, developer workflows, CI/CD, testing, and local development. Strengthen production systems through secure authentication, access controls, secrets management, code review, testing, and maintainable engineering practices.

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 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.

Design and build the Neki control plane to provision, scale, and heal sharded PostgreSQL clusters. Implement high-availability, disaster recovery, backup/restore, and migration tooling. Operate distributed, fault-tolerant services on Kubernetes, participate in on-call rotations, and work with customers to translate workloads into platform improvements.

You will design and implement IAM systems, own authentication and authorization, and ensure secure-by-default principles across Hadrian's API platform.

The Senior Salesforce Engineer will design and develop scalable Salesforce solutions using Apex and LWC, implement AI features, collaborate with teams, and mentor juniors while ensuring best practices.

Volunteer Senior Software Engineer contributing 8–20 hours/week to WeVote's React and Django codebases. Install and run repos (Mac/Unix), join 3–5 person teams, attend weekly meetings, complete intermediate-to-advanced projects, and support other volunteers to prepare systems for the 2026 elections.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

Architect and implement software infrastructure that coordinates precision manufacturing equipment, robotics, embedded controllers, and cloud services. Define interfaces, develop APIs and distributed services, build automated testing, simulation, and CI/CD pipelines, perform system integration and validation, drive performance and reliability improvements, and lead cross-boundary debugging, FMEA, and root-cause analysis.

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.

As a Senior Software Engineer in Test, you'll enhance automated testing, maintain CI/CD pipelines, mentor QA engineers, and drive automation strategies.

Lead architecture and delivery of Dialpad's agentic AI platform, building scalable multi-agent orchestration, memory and retrieval systems, real-time voice reasoning, inference optimization, safety/observability, and production integrations while mentoring engineers and partnering with product and research.

As a Senior Software Engineer, you'll own product features, design scalable systems, mentor teammates, and ensure engineering excellence, focusing on real-time workflows for the Dialer team.

As a Senior Full Stack Software Engineer, you will own product features, design scalable systems, mentor teammates, and ensure coding excellence while collaborating with cross-functional teams.

Lead full-stack engineering efforts, architect real-time workflows, mentor engineers, and drive product initiatives across backend services and frontend applications.

Design, deploy, and operate large-scale workflow orchestration platforms (Argo/Airflow/hybrid) for simulation, ML training, data pipelines and CI/CD. Build SDKs, abstractions, and self-service tooling; ensure reliability, observability, cost-efficiency, GPU and cross-cluster scheduling on Kubernetes across cloud and on-prem; integrate with storage, streaming, registries, and CI/CD; document best practices and mentor engineers.

Lead development of the application and cognitive layer for humanoid robots: implement behavior trees and intent-to-action orchestration, build voice applications and multi-modal fusion, integrate robotics capabilities and edge/cloud AI services, and ensure production readiness with CI/CD, telemetry, and monitoring.

Design and implement trajectory planning and decision-making algorithms and vehicle control for autonomous vehicles. Write production-quality, real-time C++ and Python tooling, build simulation and validation systems, integrate planning with perception and platform teams, and drive on-vehicle testing, tuning, and safety analyses to deploy robust driving behaviors.

Design and build machine-learning-driven robotic systems that operate in the real world, support portfolio company growth, influence product and technical direction, and advance company and career outcomes.