Top Software Engineer Jobs

Design, implement, test, and maintain full‑stack software across backend and frontend. Participate in full product lifecycle, review peer code, create documentation, collaborate globally, and help drive strategic goals.

Design, build and maintain backend services and data pipelines; drive technical design and implementation; ensure product and technical excellence through testing, performance tuning, instrumentation, and automation; collaborate across global teams and lead projects in distributed, large-scale systems.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Build and scale backend and full‑stack systems powering patient booking, clinician routing, logistics, and device integrations. Ship end-to-end features, design APIs and data models, solve scheduling/dispatch challenges, integrate with external health systems and medical devices, and own projects from 0→1 while collaborating with product, data, ops, and clinical teams.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, solve scheduling and dispatch challenges, integrate external health systems, and collaborate with product, data, ops, and clinical teams.

Tenure-track Computer Science faculty to teach in an ABET-accredited undergraduate program, conduct and publish research, advise majors, serve on committees, and teach across modalities (face-to-face, online, hybrid). Responsibilities include developing and delivering courses, mentoring students, and contributing to departmental service and scholarship.

Design, develop, and enhance secure, scalable software applications using modern programming languages and cloud-native technologies. Collaborate with product, design, and engineering across the SDLC, apply Agile and DevOps practices, and leverage automation and AI-driven tools to improve productivity and code quality.

Lead org-wide developer experience and AI-enabled developer workflows. Identify and solve high-leverage bottlenecks across build systems, monorepo tooling, CI/CD, and test reliability. Drive standards, enable monolith-to-modular migration, embed with product teams, mentor engineers, and deliver AI-native developer tooling and adoption at scale.

Lead design, develop, and deploy secure, scalable full-stack applications (Java or Python) for finance planning and analysis. Drive architecture reviews, operational stability, CI/CD automation, cloud-native AWS deployments, and integration of AI/ML/LLM capabilities. Mentor teams and lead engineering communities of practice.

Join Rain's AI team as a Backend Engineer to build scalable backend systems and AI-powered features while collaborating with business teams.

Design, develop, test, deploy, and maintain backend services and data pipelines. Ensure technical and product excellence, performance, and engineering best practices. Collaborate across global teams, drive projects, and contribute to large-scale system design and distributed computing challenges.

Lead frontend architecture and technical direction for Observe by Snowflake’s AI Products team. Build interactive interfaces for streaming, multi-step AI agents; develop Slack integrations, CLI tooling, evaluation pipelines, MCP integrations, and extensible platform capabilities. Partner with product and design on roadmap decisions, mentor engineers, author architecture guidance, and deliver scalable customer-facing web applications for AI-powered observability.

Designs and owns full-stack AI developer productivity products and platforms, including desktop applications, backend APIs, data pipelines, dashboards, telemetry, integrations, and developer tools. Leads technical design for scalable AI coding tool integrations, translates ambiguous requirements into production software, and manages reliability, observability, performance, security, and supportability. Evaluates human- and AI-generated code and advances prompt engineering and system-context practices for reliable AI-assisted development.

Two-year international rotational program for early-career engineers working across R&D teams on software and AI solutions. Responsibilities include developing innovative network and communications products, collaborating with Agile teams, communicating design and project progress, resolving issues, learning new technologies, and adapting to changing priorities. Participants may complete temporary assignments in other countries or locations before continuing their careers with VIAVI.

A two-year international rotational program for early-career engineers working across R&D teams. Participants develop software and hardware solutions for communication networks, collaborate with Agile teams, solve technical problems, and learn emerging technologies. The role includes software engineering and AI-focused work involving programming, Linux, networking protocols, RESTful APIs, large language models, AI-assisted coding, and agentic workflows. Graduates continue their careers with a designated VIAVI team.

Design and deliver high-throughput, secure payment microservices and real-time APIs. Advance engineering quality and delivery by applying specification-driven development and AI-assisted workflows, creating tests, conducting code reviews, and guiding teams on AI tool usage and CI/CD practices.

Develop and maintain high-performance C++ machine control and data analysis software for advanced mask inspection systems. Integrate AI/ML capabilities, collaborate with multidisciplinary engineering teams, optimize and scale existing code, and support integration/testing and customer escalations. Work with APIs, containers, and observability tools to enable reliable production deployment.

Design, implement, optimize, and maintain gameplay AI systems (enemies/NPCs) using Unreal Engine and C++. Collaborate with design and gameplay engineers, ship console/PC titles, mentor peers, write technical design documents, and integrate/maintain AI middleware and navigation/pathfinding systems.

Serves as a hands-on technical anchor for an engineering team, owning architecture and critical-path development. Designs and builds scalable full-stack applications, microservices, REST APIs, event-driven integrations, cloud-native services, Python AI workflows, and data pipelines. Partners with product and business stakeholders on technical roadmaps, maintains code quality, security, and reliability standards, leads complex initiatives, reviews code, and mentors engineers.

Design, develop, and maintain scalable, secure software and data-platform solutions for AI-powered commercial products. Collaborate with product managers, data scientists, data engineers, and designers to deliver features from concept through production. Participate in code reviews, architecture discussions, Agile ceremonies, and engineering best practices. Improve performance, reliability, governance, and developer productivity while ensuring security, compliance, auditability, and adherence to Responsible AI principles.

Lead AI platform architecture, design microservices and REST APIs, mentor engineers, and drive Agile practices for AI systems at scale.

Founding iOS engineer to own end-to-end consumer iPhone app: architecture, hardware pairing, media capture, onboarding, core user surfaces, analytics, and App Store releases. Set iOS architecture and coding standards, drive high-quality TestFlight/App Store release cycles, and collaborate with Android, hardware, and backend teams while growing the iOS team.

Develop HPC and AI software workflows for experimental data processing, imaging, plasma, high-energy physics, and materials simulations. Profile applications, benchmark performance, identify bottlenecks, and advise collaborators and product teams. Build tutorial examples, translate research into software tools, and represent NVIDIA at scientific conferences and industry events.

Design and implement AI solutions, leading projects, coding, testing, and mentoring team members while collaborating with business stakeholders to optimize technology solutions.