Top Software Engineer Jobs

Develop scalable data pipelines for autonomous driving, enhancing data extraction and labeling processes, and collaborating with cross-functional teams on ML models.

The AI Enablement Engineer will design and build internal tools and AI-powered systems for client deployments, utilizing a full-stack approach. Responsibilities include creating deployment tooling, integrating AI solutions, and operating with high autonomy to identify problems and develop effective solutions.

Design and build AI-powered UI tooling and frameworks for authoring, iteration, and debugging. Own and evolve the UI tech codebase in Unreal Engine, profile and resolve performance and memory issues, set technical direction, mentor programmers, and collaborate with internal teams and licensees to solve UI challenges.

Design and build AI-powered UI tooling and frameworks for UI authoring, iteration, and debugging. Own and evolve the UI codebase, set technical direction, mentor engineers, profile and fix performance and memory issues, and collaborate with internal teams and licensees to solve UI challenges.

Design, build, and deliver AI-driven Salesforce Agentforce agents and intelligent automations. Develop integrations, test automations, debug Apex/JavaScript/Python code, produce technical documentation, mentor junior engineers, participate in DevOps and QA, and support transformational projects and high-priority incidents.

Develop, test, debug, and maintain microservice-based applications; implement features and integrations using Java, Spring Boot, TypeScript/React, Node.js and AWS; participate in incident resolution, impact analysis, and team delivery practices; document work, monitor system health, and continuously expand technical skills.

As a founding Solutions Engineer, you will lead technical discovery, run POCs, and ensure successful customer integration while collaborating with product and revenue teams.

The Senior Forward Deployed Engineer will lead deployment solutions, mentor other engineers, and enhance customer engagement through technical leadership and innovative problem-solving.

Design and implement AI-powered educational software, focusing on generative AI systems, mentor peers, and ensure scalable, secure architecture.

Lead a small team to design end-to-end solution architectures for complex PBM initiatives. Ensure adherence to architecture principles, drive modernization, lead PoCs and technology deep-dives, advise App Dev on performance and technical roadblocks, and integrate APIs, microservices, cloud, streaming, and AI/ML automation into solutions.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

As an Applied AI Engineer, you'll develop and deploy AI solutions, collaborate with customers, and optimize production systems using Python and SQL. Your role involves driving customer impact through innovative AI technologies.

Design and build backend systems for Observe's AI product, manage services from end-to-end, and collaborate with product managers and AI engineers.

The AI Solutions Architect will design and implement AI solutions, architect AI infrastructure, lead initiatives, and mentor teams while ensuring alignment with business objectives.

The Lead Software Architect will define technical strategies, architect scalable systems, integrate AI, mentor teams, and drive high engineering standards.

Design, develop, test, operate and maintain full‑stack web applications with emphasis on frontend and backend integration. Write production-ready code, follow DevOps/CI-CD and security/compliance standards, perform code reviews, troubleshoot failures, and contribute to scalable, reliable architectures and reusable component libraries.

Design and build cloud-native AI solutions on Oracle Cloud Infrastructure: develop AI agents, integrate mission data with LLMs (RAG/MCP), deliver production geospatial systems, build Node.js dashboards tied to Oracle Databases, and ensure secure, scalable OCI deployments for defense clients.

Lead architecture, bring-up, validation, optimization, and deployment of networking infrastructure for large-scale AI training and inference. Define networking requirements, design Layer 3/4 and RDMA/AI fabric solutions, develop validation and observability tooling, perform packet-level debugging and root-cause analysis, and collaborate across silicon, firmware, software, and Azure teams to ensure performance, scalability, and reliability of hyperscale AI clusters.

Design, implement, and maintain Python frameworks and services that orchestrate distributed engineering workflows across machines and clusters. Build scheduling, execution, resource management, failure recovery, and test infrastructure. Define APIs and abstractions, reason about concurrency and distributed-systems behavior, debug complex multi-system issues, write automated tests and documentation, and partner with platform, CI, release, QA, and product teams to deliver scalable infrastructure.

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.

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 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.

Build and operate full‑stack features for an AI-driven contract management platform. Collaborate with product, data science, and design; own services from development to production; mentor teammates; apply DevOps, CI/CD, containerization, and distributed systems best practices to scale AI capabilities.

Work as an early-career full-stack software engineer building and maintaining web application features across backend, frontend, APIs, data, tests, and internal tooling. Use AI-assisted development tools responsibly, write maintainable code and tests, participate in code reviews, and learn product and customer context to deliver production-quality outcomes.

Lead rapid, AI-enabled prototyping from concept through launch. Use AI and modern game engines to build playable prototypes, design tools and agentic workflows, evaluate emerging AI tech, iterate with player feedback, and help define scalable AI development practices across the studio.