Software Engineer Jobs in Sunnyvale, CA

Build and ship full-stack software for CoreWeave’s internal data infrastructure and operational applications. Develop TypeScript, React, and Next.js frontends; Python services on Kubernetes; SQL queries and data models; and AI-enabled interfaces such as text-to-SQL tools, retrieval systems, and agents. Own scoped features through production, including testing and post-release fixes, while collaborating with senior engineers and internal users.

Design, build, and scale AI-enabled workflow and automation solutions across collaboration platforms and enterprise systems. Translate manual processes into secure, reusable, event-driven automations using Python/JavaScript, integrate AI capabilities like Gemini, implement logging and telemetry, and partner with product, security, and business teams to deploy and sustain enterprise transformation solutions.

Design and deliver enterprise-grade AI workflow transformations on GCP. Build secure, event-driven backend services and multi-step AI agents, integrate bots with enterprise systems, implement telemetry, testing, CI/CD, HITL validation, and create reusable architecture, documentation, and runbooks while guiding adoption and governance.

Build and evolve ServiceNow’s AI Experience Framework using Lit-based web components, JavaScript, TypeScript, Node.js, Java, and SSR architecture. Own full-stack design decisions, develop reusable features, optimize performance and scalability, integrate with the Glide platform, and collaborate across teams. Responsibilities include requirements analysis, lifecycle ownership, architecture and code reviews, mentoring, and technical leadership. Preferred experience includes Kubernetes operations and production observability using Grafana and Prometheus.

Leads model distillation, parameter-efficient fine-tuning, reinforcement-learning alignment, dataset development, quantization-aware training, and evaluation for multimodal AI models deployed on automotive edge hardware. Sets architectural direction for optimization pipelines, selects foundation models, manages continuous improvement loops, and ensures compact models retain reasoning, vision, language, accuracy, and safety performance after compression.

Design and implement intelligent automation for AV software development, testing, release, and operational workflows. Build CI/CD pipelines integrating simulation and hardware-in-loop testing, develop engineering data pipelines and metrics, and create AI-enabled tools for test analysis, failure classification, defect triage, reporting, and workflow orchestration. Establish evaluation, governance, security, and monitoring standards for AI solutions while improving release readiness, software quality, engineering productivity, and cross-functional visibility.

Develop and scale high-fidelity hardware-in-the-loop validation platforms for autonomous vehicle software. Build reliable, observable, and scalable platform and integration services; support requirements generation, continuous integration, automated testing, issue tracking, code reviews, software optimization, and hardware-aware engineering. Collaborate with AV software, AI, middleware, operating system, sensor, and vehicle integration teams to deliver complex projects incrementally.

Design, build, test, launch, and operate full-stack services automating responses to legal, regulatory, and civil requests. Develop backend systems, internal web tools, and integrations across microservice and event-driven architectures. Collaborate with Counsel, Compliance, and Operations while handling sensitive customer data. Participate in on-call, incident response, code reviews, modernization efforts, and responsible use of AI-powered development tools.

Develop server-side poker game features and gameplay functionality in Go for high-performance, large-scale applications. Build and integrate REST and gRPC APIs, SDKs, tools, and technologies; extend core systems; contribute to architecture, security, scalability, testing, and operations. Collaborate with engineers and cross-functional stakeholders, participate in long-term initiatives, review code, improve processes, and deliver solutions for live mobile game titles.

Designs, documents, and implements scalable, low-latency C++ software on Linux-based systems for autonomous vehicles. Develops interfaces connecting the autonomy stack with sensors and custom vehicle hardware, while improving reliability through requirements generation, continuous integration, automated testing, issue tracking, and code reviews. Collaborates across teams, mentors developers, and delivers complex projects incrementally.

Build and operate enterprise IAM platforms, integrations, provisioning workflows, and lifecycle automation. Lead CI/CD and infrastructure-as-code initiatives using GitLab, Jenkins, Terraform, Ansible, and Puppet. Develop full-stack IAM services, apply analytics and AI to identity governance, and ensure scalable, reliable, auditable systems. Mentor junior and mid-level engineers, lead technical initiatives, conduct design and code reviews, and collaborate with security, compliance, product, and engineering teams.

Lead architecture, roadmap, and implementation for Veza’s scalable Access Graph data platform. Solve complex distributed-systems and graph-database challenges, establish engineering standards, improve reliability and performance, and deliver backend services in Go. Drive cross-team planning, technical decisions, design reviews, and stakeholder alignment while mentoring engineers and team leads. Ensure high standards for correctness, testing, documentation, support, rollback safety, and responsible use of AI-assisted engineering tools.

Develop and deploy slot-game features in Unity and C#, including gameplay, UI/UX, engine systems, and creator tools. Build server-backend functionality, investigate and extend slot-engine systems, define technical tasks, and quickly resolve bugs. The role requires collaboration, strong communication, and delivery under deadlines, with opportunities to work on live mobile games and performance optimization.

This role involves ensuring the quality of autonomous vehicle simulation platforms through coding, developing metrics, and automated regression monitoring. Responsibilities include maintaining simulation systems, debugging validation measures, and collaborating with cross-functional teams.

Analyze low-level Windows software behavior in user and kernel mode using memory dumps, registers, disassembly, and source code. Conduct reverse engineering investigations, identify root causes, communicate evidence-based findings, and partner with development teams on reliability improvements. Build tooling and automation for runtime analysis, diagnostics, validation, and debugging while collaborating with globally distributed engineering teams.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Design, build, and operate scalable IAM solutions across cloud, Kubernetes, SaaS, and internal systems. Lead end-to-end IAM projects: role design, privilege reduction, access reviews, SIEM observability, and automation to continuously de-risk access and enable secure engineering velocity.

Lead full-stack engineering for an AI platform, designing scalable REST APIs, Java backend services, microservices, Kubernetes deployments, frontend integrations, and reusable UI frameworks. Establish architecture and engineering standards across Platform Engineering, translate design systems into accessible components, and mentor engineers across teams. The role requires extensive Java and JavaScript experience, modern frontend frameworks, relational databases, event-driven and stateless architectures, and integrating AI into engineering workflows and decision-making.

Lead the Android platform for Cash App Consumer Platform, building foundational infrastructure, shared libraries, architecture patterns, observability, performance tooling, and developer experiences used across the organization. Drive AI-native engineering practices and tools, identify cross-cutting technical problems, lead architecture reviews, mentor engineers, and collaborate across Android, iOS, web, backend, product, and design teams.

Build and own foundational Android platform infrastructure, shared libraries, frameworks, architecture, observability, performance tooling, and developer experience systems. Lead AI-native engineering practices, evaluate AI development tools, drive cross-organizational technical initiatives, mentor engineers, and establish scalable Android standards. Collaborate across mobile, web, backend, product, design, and leadership teams to improve engineering velocity and customer experiences.

Owns end-to-end evaluation and validation processes for autonomous vehicle software and end-to-end machine learning stacks. Designs scalable metrics, ELT infrastructure, automated triage strategies, and KPI monitoring using simulation and on-road data. Performs root-cause and behavioral analysis, communicates data-driven recommendations, and connects continuous improvement efforts to product safety cases and compliance standards. Collaborates with AI/ML, simulation, systems engineering, and product teams.

Build and operate full-stack applications and AI-facing features for CoreWeave’s internal data platform. Responsibilities include developing TypeScript, React, Next.js, and Python services; designing APIs and relational data models; integrating analytical data platforms; deploying on Kubernetes; and owning production reliability, testing, observability, and on-call support. The role also involves collaborating with non-engineers to define processes, shipping LLM-backed applications, and evaluating AI output quality.

Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.

Designs and implements evaluation, validation, testing, and simulation frameworks for autonomous vehicle software and ML systems. The role analyzes simulation and on-road data, develops performance metrics and confidence measures, performs root-cause analysis, automates regression detection, and communicates evidence-based insights to technical stakeholders. It requires strong Python skills, systems-engineering experience, analytical problem solving, and cross-functional collaboration.