Top Software Engineer Jobs

Software interns join GE HealthCare engineering teams for a 10-week summer project. Responsibilities include designing, testing, and debugging product software; developing internal tools; performing data analytics and visualization; and creating technical documentation. Candidates must study computer science, computer engineering, biomedical engineering focused on software, or a related field, and demonstrate technical competency, communication, initiative, teamwork, and leadership. Relocation to Milwaukee/Waukesha or another applicable site is required.

Lead development and maintenance of software powering autonomous robotic strawberry harvesting. Build across SCADA communications, perception, motion planning, and robotic controls; translate requirements into production-ready software; validate through simulation and field testing; troubleshoot deployments; and collaborate with robotics, hardware, controls, and operations teams to improve system reliability.

Works with IT professionals in an agile environment on software design, development, testing, prototyping, debugging, technology investigations, and project management. Potential focus areas include software development, AI/ML, cybersecurity, networking, infrastructure, cloud engineering, data engineering, and analytics. Interns receive mentorship and collaborate on digital transformation initiatives.

Lead architecture and implementation of Together AI’s global GPU cloud infrastructure. Own GPU and network virtualization, in-data-center IaaS, distributed scheduling and management planes, fault-tolerant automation, and customer-facing production systems. Set technical direction across teams, mentor engineers, establish engineering standards, and build scalable services spanning Kubernetes, compute, storage, networking, and GPU infrastructure.

Lead design and delivery of SMAC workflow methodology and infrastructure to keep system specifications and manufacturing test specs aligned. Build production-grade Python pipelines, automated checks, CI gates, and agent-ready tooling that detect spec drift pre-silicon. Integrate workflows into program milestones, drive cross-org adoption across design, operations, and DFX, and apply AI where appropriate while ensuring reviewable, auditable artifacts.

Build and operate end-to-end consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place segment. Use AI tools and agentic workflows extensively, establish AI-native engineering practices, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and ensure performance, reliability, accessibility, and member impact across owned features.

Build and scale AI medical scribe features using LLMs, develop responsive web and iOS experiences, and maintain audio-processing, cloud, and EHR integration infrastructure. Lead projects from concept to production, collaborate with product and design teams, and work directly with customers to gather feedback and rapidly improve the product.

Build and ship AI-native frontend experiences using React, Next.js, TypeScript, and Tailwind. Architect scalable frontend systems, reusable components, state management, API integrations, and performance optimizations. Own user-facing features end to end, bridge AI capabilities with intuitive interfaces, and collaborate across product, design, and backend engineering. Rapidly prototype with AI tools while maintaining high standards for accessibility, visual polish, responsiveness, and production quality.

Build and ship production frontend features for AI-native enterprise workflows. Develop React UI components, integrate backend APIs, work within component libraries, and learn scalable frontend architecture, state management, performance optimization, and advanced React patterns. Collaborate with designers and backend engineers, use AI development tools, iterate based on user feedback, and receive mentorship from senior engineers.

Software Engineer Interns will help develop, test, and operate integrated cloud services supporting AI-powered hardware products. Responsibilities include collaborating with hardware, AI, platform engineering, and infrastructure teams; contributing to AI assistant and conference room device projects; solving software problems independently and collaboratively; and communicating across teams to deliver reliable solutions.

Leads Anthropic’s Forward Deployed Engineering organization, hiring and developing engineers, overseeing enterprise customer engagements, reviewing architectures and code, and establishing repeatable deployment playbooks. The role partners with Sales, Product, and Engineering to translate customer insights into product improvements. It is a player-coach position requiring technical discovery, prototyping, debugging, operational planning, and executive-level customer communication. Travel to customer sites is required 25–50% of the time.

Lead and grow a high-performing engineering team while remaining hands-on with architecture, system design, code review, and technical decisions. Own roadmap planning and delivery, build scalable and reliable infrastructure, improve observability and performance, and partner with product, design, and leadership to solve ambiguous problems. The role also involves hiring, mentoring, developing engineering culture, and ensuring systems deliver measurable customer impact.

The Principal Software Development Engineer leads the architecture and delivery of AI-driven healthcare applications, overseeing full stack development and collaborating with stakeholders to align technical solutions with business needs.

Develop production software using AI-assisted and Spec-Driven Development practices. Implement features from approved specifications, evaluate AI-generated code, handle integrations and edge cases, maintain automated testing, and contribute to architecture. Ensure systems are secure, auditable, performant, observable, and compliant with GxP expectations. Work across backend and frontend technologies within small, collaborative squads.

Develop and optimize Azure SQL and SQL Server databases, including queries, stored procedures, indexing, triggers, data warehousing, and ETL. Build and maintain AI agents using autonomous and multi-agent architectures, prompt engineering, and RAG pipelines. Support Azure App Services and C# .NET applications, troubleshoot performance issues, lead database projects, mentor junior developers, and document technical solutions.

Build and ship cross-platform Electron desktop applications for macOS and Windows, integrating AI capabilities, enterprise systems, APIs, and secure identity services. Automate fragmented workflows through native-feeling experiences, local synchronization, notifications, and OS integrations. Own desktop release, testing, monitoring, and phased rollout practices while contributing to architecture, platform standards, user research, and stakeholder alignment. Mentor engineers and collaborate with product, design, architecture, and operations teams to deliver measurable business value.

Designs, develops, deploys, tests, monitors, troubleshoots, and maintains cloud and on-premise integrations using MuleSoft, Workato, or similar iPaaS platforms. Translates client requirements into integration and transformation solutions, supports production environments, documents implementations, leads SIT and UAT activities, manages change support, resolves integration issues, and mentors developers and architects.

Own the architecture and development of data-intensive web applications powering customer insights. Provide hands-on technical leadership, mentor engineers, conduct architecture and code reviews, resolve complex distributed-system issues, and deliver performant, maintainable data products. The role involves ETL and/or RAG development, full-stack work across React, TypeScript, Next.js, PostgreSQL, and C#/.NET, with opportunities to operate cloud infrastructure and observability systems.

Designs, builds, and ships AI-enabled mobile experiences for frontline and field teams using Tulip. The role digitizes manual workflows, supports offline-first capabilities, integrates enterprise and AI services, and contributes to platform architecture, security, testing, observability, and release practices. The engineer conducts field discovery, partners with product and design teams, mentors peers, and delivers secure, accessible, high-performing applications aligned with measurable business outcomes.

Leads end-to-end technical solution design for Lending and Loan Operations platforms. Designs Azure cloud-native applications and enterprise APIs, reviews engineering plans and code, builds performance dashboards, ensures security, compliance, resilience, and regulatory alignment, and mentors engineers. Partners with architecture, product, business, security, and risk stakeholders while leading platform operations, incident support, business-as-usual activities, BCDR, and compliance initiatives.

Designs and develops APIs, system integrations, and AI-agent workflows for enterprise applications. Builds integrations with platforms such as Salesforce and REST APIs, deploys and supports solutions on AWS, and develops AI-powered automation using LLMs, tool calling, and multi-step workflows. The role includes client requirements gathering, troubleshooting, reliability optimization, cross-functional collaboration, and mentoring junior developers.

The Technical Lead will design, build, and modernize IVR and Voice Bot platforms, providing technical ownership and leadership in a hands-on role within the Contact Center Technology department.

Build and evolve Notion’s Developer Platform, including APIs, MCP tools, integration infrastructure, and internal platform capabilities. Partner with product, design, data science, and research teams to define strategy and deliver reliable, scalable features. Own production software end to end, improve platform performance and robustness, and drive high-leverage technical investments. Help developers and customers create integrations, automations, and connected workflows.

As an AI Native Software Engineer, you'll build products using AI coding agents, translating customer needs into solutions, and ensuring quality delivery and documentation.

As an Agentic Software Engineer, you'll build and deploy production-grade AI systems, reverse-engineer existing software, guide teams, and facilitate customer discovery.