Top Software Engineer Jobs

Build and optimize high-traffic, responsive web applications and hybrid in-app pages. Implement user-facing features, improve performance and scalability, and create libraries/frameworks to accelerate development and enhance code quality.

Design and implement high-performance C++ software for Axion, build and extend real-time simulation environments, develop scalable infrastructure for multi-domain autonomous operations, partner with researchers and defense customers to translate mission requirements, and own end-to-end engineering execution from architecture through deployment.

Build and productionize scalable backend services, APIs, and AI workflows to connect requirements, modeling, validation, and test data for autonomous vehicle programs. Implement traceability, versioning, dashboards, and KPIs, refactor prototypes into certifiable systems, and collaborate with systems engineering, safety, and autonomy teams to support compliance and validation at scale.

The Full Stack AI Developer will design and scale AI-driven platforms, develop CI/CD pipelines, manage deployments, and collaborate with teams.

This role involves designing and building next-gen payments platforms using blockchain and AI technologies, focusing on payment modernization, security, and regulatory compliance.

As a Senior Forward Deployed Engineer, you will embed within customer environments to develop and deploy AI solutions, enhance performance through evaluations, and become a domain expert in specific verticals.

As a Senior Software Engineer, you will enhance AI application interfaces for enterprise clients, ensuring high product quality and a seamless user experience through direct customer collaboration and rapid iteration.

Design, build, and maintain backend services and RESTful APIs for the Blueflame AI platform using Python. Optimize databases (MongoDB, Redis), ensure security, contribute to system design and architecture, review code, and collaborate with Product and Client Success to deliver features and fixes.

The AI Platform Engineer will design, develop, and deploy AI/ML platform components and applications, mentor junior engineers, and ensure security and compliance in a dynamic environment.

Lead integration strategy and execution for Zoox's agentic platform. Collaborate with teams on tool integration, debug failures, and ensure resource readiness for production. Define integration artifacts and contribute to release processes.

PowerPay seeks a Software Engineer to manage development tasks from requirements to deployment, focusing on backend services and AWS infrastructure. Responsibilities include writing Python and SQL, utilizing AI tools, maintaining data pipelines, and ensuring communication with stakeholders.

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.

Lead and grow a team building DPU-enabled, high-performance AI cloud infrastructure. Drive architecture, prototypes, production readiness, observability, security, lifecycle management, and cross-team delivery while hiring and mentoring engineers and ensuring operational reliability.

Lead development, refactor, test, deploy, and maintain production software; collaborate with product teams in agile processes; integrate AI-assisted tools and ensure security, resilience, performance, and monitoring; create test suites; mentor and guide junior engineers.

Develop, test, deploy, and maintain production software within an agile team. Participate in product configuration, security, resilience, performance tuning, and monitoring. Learn and adopt AI-assisted development tools and collaborate cross-functionally to meet shared objectives.

Lead a product engineering team to design, build, deploy, and maintain production software. Drive architecture, testing, resilience, security, performance tuning, and mentor junior engineers while collaborating with product and cross-functional teams.

The Forward Deployed AI Engineer designs, builds, and deploys intelligent applications using Python and related technologies, addressing customer needs and leading deployment projects.

The HPC & AI Performance Engineer will execute benchmarking projects, analyze performance, and optimize HPC systems using scientific software and methods.

Design, build, and operate a secure, high-performance agent sandboxing platform. Ensure isolation, reproducibility, and efficient resource use across containerized/virtualized environments. Improve developer experience (APIs, client SDKs, docs), debug and monitor production incidents, lead architecture and end-to-end projects, and collaborate with internal teams to shape roadmap and tooling.

Lead backend development and architecture in Laravel/PHP while embedding AI as a core system layer. Build AI agents, prompt pipelines, vector search, and automated workflows integrating third-party services. Optimize APIs, databases, and scalable, secure systems. Mentor engineers and collaborate with product and data teams to deliver reliable AI-powered features.

Design and build scalable enterprise applications in C#/.NET (APIs, microservices) and integrate AI capabilities (Python, LLMs, RAG, vector DBs, agentic frameworks). Own CI/CD, Azure DevOps workflows, containerized deployments, and collaborate across teams to deliver AI-enabled operational automation and agent integrations.

Design and deliver AWS-based integration architectures connecting clinical, supply chain, and enterprise systems. Implement API-first and event-driven patterns, infrastructure-as-code, CI/CD, and hybrid cloud integrations while ensuring regulatory compliance and supporting delivery teams.

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.

The Lead Full Stack Software Engineer will oversee the development of AI-assisted digital platforms, ensuring technical excellence and mentoring engineers, while integrating modern front-end tech with back-end systems to enhance guest experiences.

Lead architecture and design of DPU-accelerated host networking, security, and programmable network services. Define host vs. DPU responsibilities, distributed firewalling, routing, policy enforcement, telemetry, and failure modes. Guide SDK, pipeline, Linux networking, control-plane, and upgrade models. Mentor engineers and align cross-functional teams to deliver reliable, high-performance networking for AI clusters.