Top Software Engineer Jobs

The Senior Staff Enterprise Architect will define the architectural vision for enterprise AI solutions and align IT strategies with business objectives while ensuring adherence to best practices.

Design, prototype, develop, document, test, troubleshoot, and debug moderately complex software for semiconductor equipment components and devices. Create reusable software modules and libraries, implement bug fixes, analyze requirements, manage project schedules, and communicate with internal and external customers. Apply software engineering, machine learning, and AI concepts to deliver reliable solutions.

Design, prototype, develop, and debug moderately complex software for semiconductor equipment components and devices. Create reusable modules and libraries, documentation, and test procedures; troubleshoot software issues and implement fixes. Collaborate with internal and external customers on requirements, schedules, and troubleshooting while applying software engineering, AI, and machine learning concepts.

Design, develop, debug, and troubleshoot complex software for semiconductor equipment components and devices. Create documentation, test procedures, specifications, and test plans for simulators, test benches, and laboratory environments. Analyze requirements, implement bug fixes, communicate with customers, and support project scheduling. The role applies software engineering, AI, and machine learning expertise to solve customer problems and requires collaboration across technical teams.

Design, develop, debug, and document complex software for semiconductor equipment components and devices. Create test procedures, specifications, and test plans for simulators, test benches, and lab environments. Troubleshoot software issues, implement fixes, analyze requirements, coordinate schedules, and communicate with internal and external customers. The role applies software engineering, machine learning, and AI concepts to semiconductor and display technology solutions.

Design, develop, document, test, troubleshoot, and debug complex software for semiconductor equipment components and devices. Define software specifications and test plans for simulators, test benches, and labs. Collaborate with internal and external customers on requirements, schedules, and troubleshooting, while implementing fixes and contributing to AI and machine learning solutions.

The VP of Engineering will own engineering strategy, architecture, scaling, hiring, performance management, and people development. This hands-on leader will write and review code, establish technical direction across two pods, develop engineers into technical leads, represent engineering to executives, and partner cross-functionally to prioritize and deliver critical work. Experience in healthcare, HIPAA, or SOC 2 environments is preferred.

Architect and deliver enterprise-scale software platforms across multiple clients and business domains. Lead architecture decisions, establish engineering frameworks and standards, evaluate emerging technologies, drive software quality and governance, collaborate with stakeholders, and mentor senior engineers. The role requires technical leadership across complex initiatives from concept through deployment while advancing PCCI’s healthcare technology ecosystem.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

You will lead the Mobile AI engineering team, defining roadmaps, improving product quality, and collaborating cross-functionally to deliver mobile AI solutions.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

As a Graduate Engineer, you'll design and develop AI agents and features while learning finance operations, coding best practices, and developing APIs in a collaborative environment.

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

Lead design and evolution of customer-facing digital commerce systems (checkout, billing, payments, subscriptions, catalog, cart, orders). Use AI-assisted workflows to accelerate coding, review, testing, and documentation while ensuring security and production readiness. Drive architecture and API decisions across modern web apps, improve engineering excellence (testing, automation, observability, DevOps), build reusable patterns, and coach engineers to raise team productivity and technical delivery.

Design, build, and maintain customer-facing digital commerce services (checkout, billing, subscriptions, catalog, cart, orders). Use AI-assisted workflows for coding, testing, review, and documentation. Develop scalable, low-latency APIs and services, improve observability, automation, and engineering practices, and partner with cross-functional teams to deliver reliable solutions.

Designs and delivers Power BI features within Microsoft Fabric, applying AI-native development practices across the SDLC. Provides technical leadership, mentors engineers, guides stakeholders, confirms customer requirements, and supports large-scale production services through on-call incident monitoring. Requires strong software architecture, distributed systems, cloud platform, reliability, performance, security, and AI expertise.

Lead large technology teams to define strategy, architecture, and delivery for wireless/wireline software platforms and AI-driven solutions. Oversee SDLC, data and geospatial platforms, vendor coordination, budgeting, and adoption of AI/advanced analytics to deliver scalable, reliable enterprise systems.

Lead and scale engineering across application, backend, infrastructure, and data teams. Responsibilities include hiring and developing engineers, guiding architecture and system design, driving reliable product execution, establishing engineering standards, shaping platform strategy, and partnering with AI, product, and customer-facing teams. The role also requires maintaining strong reliability, security, and privacy practices for clinical patient data.

Design, build, and scale backend systems and microservices for automated chargeback and dispute workflows. Integrate with card networks, banks, and merchants, improve CI/CD, upgrade platform architecture, and own feature delivery and system optimizations.

Leads Roku’s global Enterprise Engineering organization across custom applications, integrations, enterprise data, productivity platforms, and AI enablement. Sets technical and architectural direction, establishes cloud-native and secure engineering standards, develops agent-ready systems, drives AI-first engineering adoption, reshapes teams around outcomes, and coaches distributed engineering leaders. Owns enterprise governance, security, audit, compliance, and major cross-system initiatives while influencing executive stakeholders and transforming organizational operating models.

The role involves developing advanced computational methods for semiconductor manufacturing, leading innovation, and scaling software for high data processing needs.

Provides technical leadership for application development, support, and intelligent automation platforms. Leads software engineers and architects; owns strategy, roadmaps, governance, architecture, standards, and adoption for UiPath, ServiceNow, Power Automate, Copilot Studio, and AI integrations. Partners with business and IT stakeholders to prioritize automation opportunities, manage budgets, ensure application stability, and drive Agile software delivery, DevOps, security, technical debt management, and continuous improvement.

Build and own AI-powered research-enablement tooling, shape the engineering roadmap, make architecture decisions, establish engineering processes, and help scale the team. The role partners closely with research, sourcing, engineering, and the CEO to improve report-production speed and product adoption. Responsibilities also include delivery planning, communicating risks, designing technical interviews, and developing external API or MCP capabilities.

Support development of web and mobile applications, APIs, automation tools, and AI/ML integrations. Write, test, review, and document maintainable code; troubleshoot issues; optimize performance in cloud environments; assist with model deployment and validation; and collaborate with hardware, firmware, and product teams under mentorship.

Develop, integrate, test, deploy, and maintain scalable end-to-end analytics applications for federal government customers. Collaborate with data scientists and mission analysts to build front-end and back-end tools, operationalize data science, and support analyst workflows. Work with customer architectures, data repositories, big data, machine learning, and application development processes, including requirements analysis, design, implementation, testing, integration, deployment, and maintenance.