Top Software Engineer Jobs

Develops and maintains business web applications within an Agile team for a government customer. Responsibilities include translating requirements into software, writing and testing code, developing web API integrations, conducting impact analysis, supporting production troubleshooting, managing configuration changes, and proposing system improvements. The role requires collaboration with analysts, UI/UX developers, testers, project leads, and customers, along with maintaining technical documentation and application knowledge.

Leads and mentors a backend engineering team building cloud-native provisioning and orchestration services for CrowdStrike’s AI Detection and Response platform. Owns technical vision, architecture, roadmap, reliability, incident response, engineering practices, hiring, and team development. This player-coach role includes approximately 20–30% hands-on coding, collaboration with product and engineering stakeholders, and delivery of scalable distributed systems supporting large-scale security event processing.

Design, develop, test, debug, document, and enhance complex software systems for DoD and Naval programs. Define requirements, architecture, and software designs; conduct benchmarking and performance analysis; support unit, system, and system-of-systems testing; prepare technical documentation and reports; identify constraints and corrective actions; and provide technical recommendations. The role may involve cybersecurity, real-time programming, UML/SysML modeling, machine learning, or other data-driven technologies.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

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 an agile engineering team to design, build, and operate high-scale, secure Java applications and internal developer platforms. Drive adoption of enterprise-authorized AI-assisted development tools, improve observability and reliability (SLOs, alerting), own on-call and incident response, and mentor peers on responsible AI usage and best engineering practices.

The Staff Forward Deployed Engineer at GitLab works with strategic accounts to adopt GitLab and GitLab Duo Agent Platform, guiding technical discovery and building reusable solutions for complex enterprise environments.

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.

Design and build NVIDIA’s enterprise AI agent platform, including agent blueprints, runtime safety and policy enforcement, multi-agent orchestration, credential brokering, checkpointing, observability, evaluation, and self-improvement loops. Deploy reliable long-running services at scale, integrate enterprise systems, support secure execution, and participate in on-call operations. The role requires extensive distributed systems or infrastructure experience and hands-on agent development.

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.

Build realistic backend coding challenges, feature implementations, bug fixes, and deterministic verifiers for AI training projects. Evaluate code correctness, reliability, maintainability, and performance while incorporating automated testing, validation criteria, edge-case analysis, and secure coding practices. Work independently on scalable backend systems and APIs, refine tasks based on requirements, and document technical solutions clearly.

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 test software by translating requirements and user stories into robust designs and production code. Implement solutions across the software development lifecycle using CI/CD practices, collaborate with product and operations teams, and contribute to application architecture. The role values an architectural mindset, user-focused solutions, Agile methods, software testing, and familiarity with React, GCP, full-stack development, and AI-assisted coding.

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.