Top Systems Engineer Jobs in San Francisco Bay Area, CA

Lead architecture, development, and validation of end-to-end aircraft fuel systems. Drive cross-functional integration, system-level modeling (CFD), verification, supplier qualification, ground and flight test support, anomaly root-cause analysis, and mentor engineering teams while contributing to long-term fuel-system technology roadmaps.

Design, develop, implement, support, and improve financial-system integrations, databases, reporting solutions, and automated processes. Lead technical financial systems projects from requirements gathering through implementation, focusing on Aderant Expert, SQL Server, SSIS, SSRS, and T-SQL. Collaborate with Finance, IS, vendors, and business stakeholders; troubleshoot complex data issues, optimize database performance, document technical solutions, and support multiple concurrent initiatives.

Own the design and delivery of automated factory equipment from concept through production acceptance. Lead cross-functional mechanical, controls, software, and manufacturing teams; define requirements, conduct design reviews, manage phase gates, and ensure equipment meets timeline, cost, reliability, and performance goals. Partner with factory development and production teams to deploy turnkey systems. The role requires mechanical CAD expertise, automated equipment development experience, and collaboration across engineering and manufacturing functions.

Supports systems engineering, prototype builds, assembly integration, testing, documentation, maintenance, repair, and field service for mission-critical defense systems. Responsibilities include building electronic assemblies, integrating replacement COTS components, maintaining technical drawings and schematics, conducting equipment testing, verifying system functionality, analyzing performance data, and supporting depot-level maintenance and deployment schedules. The role requires an active DoD Secret clearance and U.S. citizenship.

Lead end-to-end systems engineering for Navy mission planning products, from concept development through deployment and lifecycle support. Responsibilities include requirements, integration and testing, configuration management, engineering change proposals, security compliance, technical documentation, cost and risk analysis, program planning, and stakeholder coordination. The role supports classified systems, CI/CD monitoring, system authorization, deployment, and maintenance while advising leadership and collaborating with military personnel, contractors, and cross-functional engineering teams.

Define and maintain system-level architecture and safety requirements for autonomous construction equipment. Lead functional safety concepts, HARA, FMEA, STPA, and FTA analyses; establish safety mechanisms, verification and validation plans, and requirements traceability. Collaborate across hardware, software, and mechanical teams, support design reviews and root cause analysis, and make technical tradeoffs affecting system performance and safety.

Build and evolve Restate’s durable execution runtime, focusing on distributed systems, state management, storage, messaging, concurrency, fault tolerance, performance, and reliability. Design, test, operate, and improve production-scale backend infrastructure; diagnose complex systems issues; develop integrations and tooling; collaborate with production users; and contribute to architecture, observability, documentation, and engineering practices.

Lead the architecture and technical direction of MongoDB’s next-generation Search and Vector Search infrastructure. Own cross-system data infrastructure, define technical roadmaps, evolve mongot and Mongo Management Service, drive complex multi-team initiatives, make distributed-systems decisions around consistency, durability, scale, and failure modes, and mentor engineers while influencing leadership and global engineering practices.

Systems Engineer supporting SOF AT&L’s Directorate of Science & Technology. Plans and documents engineering surveillance across design, development, and production; reviews engineering changes, waivers, deviations, and nonconforming materials; provides expert technical analysis and leadership briefings; evaluates performance trends; recommends corrective actions; and improves engineering and acquisition processes.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Owns Azure DevOps administration, governance, configuration, access controls, boards, organizational structures, and GitHub integrations for Engineering. Diagnoses platform issues, automates administrative tasks, maintains standards and documentation, supports onboarding, tracks platform health and compliance, and contributes to adjacent tools such as LaunchDarkly, Flyway, Cursor, and Claude Code.

Administers and governs engineering platforms including Azure DevOps, LaunchDarkly, Flyway, Cursor, and Claude Code. Manages access controls, feature flags, database migrations, standards documentation, platform health, compliance evidence, and automation. Builds monitoring, enablement resources, and workflow improvements while supporting secure, reliable engineering operations. Senior-level responsibilities also include leading complex integrations, automation strategy, technical mentoring, and AI tooling evaluation.

Embed with customer hardware teams to write and decompose system requirements, maintain traceability, produce V&V artifacts, and prepare certification audit engineering packages using Nema.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Build and operate secure, scalable multi-cloud infrastructure across AWS, GCP, and networking platforms. Develop self-service tooling, infrastructure-as-code defaults, cloud guardrails, and standardized platform patterns. Lead cross-team infrastructure initiatives, technical investigations, and operational improvements while partnering with security, compute, routing, and other infrastructure teams.

Own localization requirements, simulation and track testing, Hardware-in-the-Loop testing, and unit test coverage for autonomous ground vehicle software. Collaborate with autonomy, systems, safety, and hardware teams; review requirements and code; configure localization and safety algorithms; and support systems-level solutions. The role requires source-level C++ understanding, requirements management, safety standards familiarity, and testing across unit, simulation, track, and HIL environments.

Design and develop scalable, highly available software systems for NinjaOne’s IT Operations platform. Build Java and Kotlin applications, implement enterprise design patterns, optimize systems serving millions of endpoints, and contribute production code. Responsibilities include REST service development, relational database work, client-server messaging, caching, scalability improvements, and quality testing. The role collaborates with engineers to deliver reliable cloud services supporting worldwide operations.

Own research data campaigns for medical imaging AI, including campaign design, annotation workflows, schema and ontology validation, quality measurement, reproducibility, and dataset documentation. Partner with data scientists, research scientists, engineering, clinical, product, and regulatory teams to translate research needs into reliable datasets. Build and validate pipelines using Python and SQL, coordinate timelines and resources, and ensure data quality supports algorithm development and product decisions.

Build core systems at the intersection of software, hardware, and finance. Own full product lifecycles from customer discovery through production deployment, create abstractions for complex legacy systems, and design production-grade LLM solutions for underwriting, compliance, and document processing. The role emphasizes backend systems, infrastructure, architecture, full-stack development, and occasional field travel.

Own and evolve Ramp’s post-sales business systems. Design and deploy Salesforce applications, integrations, iPaaS solutions, data contracts, and revenue workflows supporting onboarding, activation, contracts, subscriptions, expansions, and book-of-business management. Establish scalable architecture, reliable error handling, reconciliation, data integrity, technical documentation, testing, and governance while partnering with Deal Desk, Legal, Finance, Data, Product, and GTM teams.

Build low-level infrastructure for persistent, autonomous AI agents, including virtualization, sandboxing, storage, scheduling, networking, runtime systems, recovery, and performance tooling. Responsibilities include designing production systems, debugging complex failures, optimizing latency and resource usage, and ensuring reliability, correctness, and secure multi-tenant isolation. The role requires end-to-end ownership, strong systems fundamentals, and collaboration in an in-person San Francisco environment.

Design and build distributed infrastructure for large-scale AI agent workloads, including persistent compute, distributed storage, scheduling, orchestration, virtualization, sandboxing, networking, and runtime systems. The role focuses on consistency, fault tolerance, performance, scalability, reliability, and multi-tenant production infrastructure.

Paid, full-time systems engineering internship building production infrastructure for long-running AI agents. Responsibilities include developing compute and runtime primitives, virtualization and sandboxing systems, persistent storage and recovery, schedulers, networking infrastructure, and performance tools. Interns will write production-quality systems software, debug complex failures, profile and optimize performance, investigate tradeoffs, and potentially contribute to virtualization, distributed systems, containers, or systems research projects.

Deploys, integrates, operates, and tunes high-performance NFS storage for Kubernetes, GPU, and AI workloads. Responsibilities include CSI integration, Linux and network optimization, storage lifecycle management, air-gapped platform support, infrastructure-as-code, GitOps automation, observability, and troubleshooting distributed storage performance and reliability across hybrid, edge, and bare-metal environments.

Develop and verify depot and off-hail automation features for autonomous vehicle fleets. Responsibilities include defining requirements and system architecture, building verification and monitoring systems, qualifying new features and depots, debugging field issues, improving test coverage, and extending automation across vehicle platforms. The role requires cross-functional collaboration, data-driven problem solving, C++ code analysis, SQL querying, and dashboard creation.