Top Software Engineer Jobs

Seeking a Distinguished Technologist to lead AI architecture and design for HPE's Private Cloud AI offerings, focusing on applied AI, agentic AI, and generative AI. Responsibilities include technical leadership, implementation, and mentoring engineers while optimizing AI systems for cloud-based solutions.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

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.

Senior product-minded engineer owning end-to-end SaaS product areas: discovery, design, implementation, testing, and iteration. Translate ambiguous goals into workflows and technical plans, make architecture decisions, build polished UX, use and validate AI-assisted development tools, communicate clearly, and drive work independently with cross-functional partners.

Build and maintain production-grade React+TypeScript web interfaces for data-intensive, real-time AI products. Own end-to-end frontend features, optimize UI performance for large datasets, collaborate with design and backend teams, establish frontend best practices, improve architecture and tooling, and resolve production issues across browsers and devices.

The Senior Software Engineer will develop a robust AI infrastructure, focusing on backend services, APIs, and AI agent optimization. Responsibilities include architecture design, evaluation systems, and collaboration with cross-functional teams.

The Senior Software Engineer will lead the development of AI solutions for the life insurance sector, overseeing full stack application design and delivery while guiding junior engineers.

Build and scale core AI-native healthcare products across the stack, focusing on real-time audio processing, NLU/transcription, clinical documentation, EHR integrations, and distributed production systems. Drive architecture, ship features with high ownership, and operate in a fast-moving, regulated environment.

Design and implement scalable graph-based search services and APIs. Build backend systems using Java and Spring Boot, integrate AWS services and databases, ensure observability with New Relic and Coralogix, and champion clean code and engineering best practices while collaborating across product and engineering teams.

The Senior Backend Engineer will build and operate backend systems for AI agents, focusing on reliability, API design, and data modeling, while enhancing code quality and performance in a fast-paced environment.

Design behavioral specs, harnesses, and validation systems so AI agents implement reliable full-stack features. Build CI gates, structural tests, linting, knowledge bases, and end-to-end verification. Diagnose failures across spec, harness, and agent layers. Architect and operate production systems across cloud and on-prem environments for regulated energy deployments, prioritizing reliability, observability, and graceful degradation.

As an AI/ML Platform Engineer, you will develop APIs, data pipelines, and workflows to support AI capabilities for scientific research, ensuring system reliability and scalability.

The Senior AI Architect will design and develop scalable web applications, focusing on AI and analytics, collaborating with teams on software solutions.

As a Senior Forward Deployed Engineer, you'll drive customer engagements, manage technical projects, and deliver scalable solutions while mentoring other engineers.

The Principal Engineer will lead AI-driven productivity initiatives, develop a strategy for integrating AI in engineering workflows, and improve collaboration across teams. Responsibilities include executing projects, ensuring code quality, and setting success metrics.

The role involves architecting and implementing LLM-powered tools to enhance developer productivity, automate mundane tasks, and establish best practices for AI integration in development processes.

As a Senior Fullstack Software Engineer, you will design and build fullstack systems for AI agents, collaborating with engineering, product, and design teams while documenting findings and participating in technical discussions.

The Conversion Engineering-Global Content Consultant role focuses on consulting Global Data Conversion Software Engineering, improving processes, and implementing AI solutions. Responsibilities include supporting offshore teams, driving project completion, and creating documentation for standards.

As a Senior Software Engineer on the AI Platform team, you will develop AI security features, enhance vulnerability detection, integrate AI patterns, and collaborate across functions to deliver solutions.

The Senior Software Engineer will build AI solutions for clinical workflows, collaborating with teams to enhance software architecture and mentor other engineers.

Build internal tools, automations, and AI-assisted systems to reduce operational friction. Develop full-stack features in JavaScript/TypeScript with frameworks like Next.js and Postgres, use AI-native developer tools, debug locally and in production, and move solutions through deployment and production-readiness. Work closely with business users to prototype, iterate, and ship practical internal software that connects workflows and reduces manual work.

The Principal Software Engineer will lead architectural decisions, mentor engineers, optimize system performance and reliability, and drive technical direction for LangChain's observability and evaluations platform.

Design and implement backend services for an AI-driven automation platform, focusing on LLM orchestration, API development, and system reliability.

The AI Driven Verification CAD Engineer will develop AI frameworks, innovate verification methodologies, and integrate AI tools to enhance ASIC design productivity while supporting global engineering teams.

The internship involves multiscale modeling focusing on physics and AI modeling. Interns will run simulations and define workflows using Python and related libraries.