Top Software Engineer Jobs

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.

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.

The Software Engineer will build AI-powered chatbot workflows, own features end-to-end, and collaborate in a fast-paced environment. Ideal candidates have a strong engineering foundation and experience with AI development tools, focusing on enhancing software processes.

Leads Snowflake’s AI Developer Experience engineering team, setting the roadmap for transforming software development and delivery through AI. Responsibilities include managing and developing engineers, improving code review latency, enabling access to modern AI tools and models, establishing agentic development pathways, and maintaining operational excellence through on-call management, incident response, postmortems, and support prioritization. The role requires strong technical judgment, cross-functional communication, measurable customer impact, and experience modernizing developer productivity and CI/test workflows.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Build and deploy AI solutions for clients, including agentic workflows, RAG systems, structured extraction, OCR and document-processing pipelines, retrieval systems, evaluation harnesses, and lightweight interfaces. Translate ambiguous client problems into production code, drive engagements from discovery through deployment, collaborate with stakeholders, and contribute to internal platform capabilities and engineering practices.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user trust. Provide rigorous, opinionated feedback distinguishing response quality levels and help define best practices for tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires strong software engineering expertise, familiarity with AI-assisted development workflows, and the ability to assess code and explanations without deeply reviewing or executing every line.

Principal Software Engineer serving as a technical authority for backend, data, and AI platform architecture. Responsibilities include designing large-scale distributed data platforms, streaming systems, APIs, data models, and production AI systems using LLMs, RAG, vector search, and agent orchestration. The role establishes architectural standards, governance, observability, security, and cost controls; contributes high-impact production code; guides modernization; partners with product and engineering leaders; and mentors senior engineers.

The Enterprise Data Architect develops and optimizes database solutions, migrating data, conducting tests, and ensuring information system functionality.

Design, build, test, and deploy enterprise workflow automations and SaaS integrations. Develop REST API integrations, custom automation logic, event-driven workflows, and browser-based automations. Analyze business processes, create reusable templates, document solutions, follow governance and release practices, and collaborate with security, IT, architecture, business stakeholders, and users.

Leads and develops a software engineering team building Libra Solutions’ platforms in an AI-native, agentic delivery model. Owns delivery commitments, technical quality, architecture, code reviews, engineering standards, CI/CD, technical debt, and AI-assisted development practices. Partners with Product, Engineering, and business stakeholders while tracking delivery and system health metrics. Coaches engineers, supports hiring and retention, and establishes responsible AI, prompt engineering, and output-review standards.

Build low-level device runtime software for OpenAI custom AI accelerators. Responsibilities include kernel scheduling, command submission, queueing, device memory management, synchronization, hardware-software interfaces, simulation-based validation, performance tuning, debugging, testing, tracing, and profiling. Collaborate with compiler, kernel, architecture, verification, firmware, and silicon teams to improve accelerator execution and co-design.

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 own full-stack AI applications, data APIs, dashboards, and cloud-native services. Develop Python and Node.js backends, React frontends, AI/ML integrations, RAG pipelines, authentication, API management, testing, CI/CD, and performance improvements. Collaborate with AI/ML engineers, data scientists, product, and design teams to deliver scalable, reliable, intuitive, and responsible AI experiences.

Design and build distributed systems, high-performance APIs, real-time data pipelines, and intelligent LLM-powered applications processing billions of events daily. Develop advertising, identity, and intent platform capabilities using streaming, batch, and large-scale data technologies. Own system quality, scalability, performance, and observability while collaborating with product managers, data scientists, and engineers. Provide technical leadership and mentorship across initiatives involving ad infrastructure, identity resolution, behavioral analytics, and applied AI.

Lead the design and delivery of Salesforce Agentforce and AI-powered solutions, including agents, topics, instructions, actions, automations, code, deployment methods, and data structures. Collaborate with clients, project managers, architects, developers, and designers to translate business needs into technical solutions. Oversee projects from design through development, testing, and deployment while staying current with Salesforce capabilities.

Lead integration and sustainment of an AI-driven knowledge management platform. Define system architecture, oversee integration and deployment, manage CI/CD and Agile practices, and ensure secure, reliable, and scalable system delivery with verification, validation, and lifecycle sustainment.

Design, build, test, and deploy enterprise .NET web applications; integrate generative AI features using AWS Bedrock and Anthropic Claude; use AI-assisted coding tools; maintain CI/CD pipelines in Azure DevOps/TFS; optimize backend/data access and collaborate with architects, PMs, and analysts on solution delivery.

Build and scale full-stack features for the Insights practice management platform using ReactJS, Python, and PostgreSQL. Improve reliability, observability, performance, and availability; collaborate with infra, backend, product, and design; own multi-month projects, conduct code reviews, and drive architectural improvements to support thousands of practices.

As a Principal Forward Deployed Engineer at Okta, you lead strategic deployments, shape reference architecture, coach teams, and represent technical authority on agent identity to senior executives.

As a Junior Software Engineer, you'll design, develop, and troubleshoot software solutions while gaining experience in an agile team environment.

Lead backend engineering for a cloud-native, data-intensive finance and P&L platform. Build and operate services (Java/Scala/Python) on Databricks and cloud, design secure scalable APIs, collaborate with finance and UI teams, and apply engineering best practices and AI/ML where valuable.

Design and develop scalable enterprise applications using Azure, React.js, .NET, APIs, and Azure Integration Services. Build REST APIs and event-driven integrations with Azure services, implement reusable components and secure coding practices, and support CI/CD, automated testing, monitoring, and performance optimization. Collaborate with product, architecture, and business stakeholders in Agile ceremonies, translate requirements into technical solutions, and use AI-assisted development tools to improve productivity and code quality.

Develop C++ machine-control software and data analytics for advanced semiconductor mask inspection systems. Design, optimize, and maintain reliable, scalable code in multi-threaded and multi-process environments. Collaborate with electrical, mechanical, optical, algorithm, and software engineers to implement system requirements, support integration and testing, and resolve customer-site escalations. The role also involves debugging, Linux development, and potentially RPC, REST, containerization, Kubernetes, and modern UI frameworks.