Top Entry Level Software Engineer Jobs in San Francisco Bay Area, CA

Entry-level software engineers will contribute to team projects, write tested and extensible code, navigate large codebases, debug and review code, collaborate with stakeholders, manage quality and delivery trade-offs, and actively pursue professional growth. The role is part of Affirm’s early-career program and involves hybrid work in New York City or San Francisco during the first year.

Build and polish Notion’s native Android experience using Kotlin and Jetpack Compose. Develop core features such as page rendering, editing, navigation, Home, Search, and Inbox while improving startup time, scrolling, typing latency, reliability, offline functionality, and memory use. Partner with product and design, use AI coding tools, own a core product area, and contribute to testing, monitoring, and shared mobile frameworks.

Build and evolve Notion’s iOS platform, including shared frameworks, architecture, testing, build systems, observability, CI/CD, and release-quality tooling. Partner with mobile AI and core product engineers to improve developer workflows, evaluate iOS capabilities, and drive adoption of platform standards. Use AI tools and agents to enhance engineering productivity while supporting a reliable mobile application used by millions.

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

Build full-stack, agent-driven software for SOX control testing and internal audit workflows. Design reliable and observable LLM agent systems, create structured audit deliverables, own end-to-end technical workstreams, and collaborate with product, design, auditors, and domain experts. Engineers will help shape agentic architecture, AI tooling, evaluation practices, and product direction while working on ambiguous 0-to-1 initiatives.

Build high-scale internal observability systems covering metrics, logs, traces, cost attribution, chargeback, compliance, and auditing. Partner with backend and platform teams to instrument services, evaluate observability infrastructure, and scale systems for Vercel’s production traffic. The role requires TypeScript, production experience with Go, Rust, or Zig, distributed systems expertise, cloud infrastructure knowledge, and familiarity with observability tooling.

Lead complex card-acquiring projects from design through production, building reliable payment systems, tooling, testing frameworks, and network integrations. Work hands-on with ISO messages, routing, authorization, clearing, settlement, reconciliation, interchange, and tokenization. Set technical direction, mentor engineers, improve reliability, participate in on-call operations, and establish standards adopted across teams. The role requires deep acquiring expertise and experience operating large-scale financial systems.

Build and ship production software across Superhuman’s AI-powered productivity products. Develop features using modern web frameworks, large language models, natural language processing, and intelligent automation. Contribute to scalable distributed systems, testing, deployment, and system design while collaborating with product, design, and engineering teams. The role emphasizes mentorship, rapid growth, independent execution, and delivering reliable user experiences to millions of users.

Build and deploy full-stack healthcare financial products used by millions of patients. Develop AI- and ML-powered features, integrate LLMs, enhance an AI billing assistant, and create patient payment solutions. Collaborate with product, design, and partner engineering teams to deliver production-ready software. Contribute to technical planning, coordinate complex development efforts, mentor peers, and maintain high standards for testing, code quality, efficiency, and technical debt management.

Build and own end-to-end features across gateway infrastructure, enterprise deployments, and agentic systems. Work primarily on backend and infrastructure while contributing across the stack as needed. Use Claude, Codex, and agent fleets to accelerate development, while applying judgment to architecture, product decisions, security-sensitive systems, connectors, enterprise hardening, and generated-code review. The role offers broad ownership, rapid shipping, and direct collaboration with founders and customers.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

Internal, unpublished integration fixture used to verify that Workable applications transfer candidate identity, LinkedIn profile URLs, metadata, and resumes into Raydar Applicant Hub and Paraform. It is not an employment opportunity and offers no compensation or benefits. Production roles must be cloned, renamed, populated with an actual description, and configured with mandatory candidate name, email, resume, and public LinkedIn profile fields.

Develop back-end logic, application features, and user interfaces for educational products used by millions. Responsibilities include designing, coding, testing, debugging, tuning, and owning projects through the development lifecycle. Collaborate with engineers and cross-functional teams to create products for students and teachers using technologies such as Java, Python, TypeScript, JavaScript, AWS, and modern databases.

Build and operate production software, data systems, APIs, internal tools, and AI-powered research workflows for Patch’s climate market-intelligence platform. Responsibilities include ingesting and modeling heterogeneous external data, ensuring data quality and provenance, developing retrieval and agent workflows, and translating user needs into reliable products used by Climate Strategy, Sales, and Marketing. The engineer will own medium-sized projects end to end and contribute to architecture, observability, testing, and system evolution.

Build and operate production software, data systems, APIs, internal tools, and AI-powered research workflows for Patch’s climate market-intelligence platform. Responsibilities include ingesting heterogeneous external data, modeling and validating information, ensuring provenance and freshness, developing retrieval and agent workflows, and turning user needs into reliable production systems. The engineer will partner with Climate Strategy, Sales, and Marketing while owning medium-sized projects from discovery through rollout and monitoring.

Build core 0-to-1 systems at the intersection of software, hardware, and finance. Responsibilities include designing abstractions for complex legacy systems, owning the full product lifecycle, developing full-stack products, and deploying production-grade LLM systems for loan underwriting, compliance, and document processing. The role emphasizes backend systems, infrastructure, architectural tradeoffs, customer-focused product development, and contributing to engineering culture.

Build and maintain latency-sensitive backend services for risk management, transaction processing, settlement, and financial operations. Design state machines, ensure consistency across asynchronous processes, ingest live data feeds, coordinate time-sensitive workflows, and develop high-performance REST and WebSocket APIs. The role requires production Rust experience, database versatility, asynchronous programming, startup experience, and an interest in trading or financial markets.

Own backend-heavy software engineering for a data-driven platform while delivering user-facing features. Build backend services, refine data models, manage third-party integrations, and support authentication, webhooks, synchronization, throttling, retries, monitoring, and production issues. Drive features from planning through release and iteration, collaborate with customers, troubleshoot environments, and turn one-off requests into reusable product capabilities.

Own customer-facing software from design through production, building backend telemetry pipelines, low-latency decision systems, real-time detection, and compact machine-learning models. Partner directly with customers during pilots and rollouts, conduct adversarial testing, and contribute to platform architecture and technical direction in a small, fast-moving engineering team.

Deploy across portfolio companies to understand challenges, solve technical problems, and deliver business-impacting software solutions. Build shared technology services and value-creation playbooks, use AI coding tools to accelerate development, and provide technical leadership and mentorship. The role requires adapting to diverse codebases and technology stacks while combining strong software engineering, strategic thinking, commercial awareness, communication, and hands-on problem-solving.

Build and ship secure, high-performance software across frontend, backend, full-stack, infrastructure, and applied AI teams. Collaborate with AI Research, Product, Design, and Legal Engineering; contribute to retrieval, document intelligence, workflow automation, enterprise agents, and infrastructure. Evaluate LLMs and AI systems, participate in design discussions and code reviews, and develop production features alongside experienced engineers.

Lead the design and delivery of complex distributed systems and high-impact product initiatives for Toast’s Catering & Events platform. Own critical architecture, drive technical strategy, improve scalability and reliability, mentor engineers, establish engineering best practices, and collaborate with Product and Design. The role also involves applying AI tools to improve developer productivity and enable new capabilities.

Build and maintain Convex’s dashboard, integrations, CLI, MCP, and other platform services. Collaborate directly with customers and leadership to define features, create intuitive product experiences, improve access controls, and deliver high-quality full-stack software. The role emphasizes UX sensibility, architectural thinking, simplicity, pragmatism, startup adaptability, customer focus, and occasional on-call support.

Operate and scale production inference systems serving live, multi-tenant traffic. Own model rollouts, observability, capacity planning, incident response, reliability, failover, and cost optimization. Partner with research and inference teams to productionize serving techniques while maintaining system performance and resilience.

Design, build, and operate distributed infrastructure for large-scale AI model training and inference. Responsibilities include orchestration, scheduling, storage, resource management, reliability, observability, distributed failure debugging, and developing internal Python and Go libraries and APIs. The role partners with researchers and platform engineers and supports infrastructure operating across thousands of accelerators.