Top Software Engineer Jobs

Develop and maintain autonomy integration environments, reference configurations, automated software-in-the-loop and hardware-in-the-loop tests, integration tools, and vehicle or hardware interfaces. Debug failures across planning, controls, simulation, perception, deployment, network, timing, and hardware boundaries. Support autonomy stack deployment, lab and flight testing, failure analysis, documentation, and technical collaboration across multidisciplinary teams.

Lead integration of autonomy components into reference implementations and deployable stacks. Develop C++ and Python tooling, software-in-the-loop and hardware-in-the-loop tests, platform integration layers, automated fixtures, and troubleshooting workflows. Investigate cross-system failures, support deployment to representative hardware, collaborate on flight testing, analyze integration issues, and create documentation and training materials. The role spans perception, localization, planning, real-time systems, and safety-critical autonomous platforms.

Design and implement high-performance middleware, runtime services, tooling, and foundational software for Shield AI’s EdgeOS and Hivemind autonomy systems. Develop across Linux, real-time operating systems, and resource-constrained embedded platforms. Contribute to interface definition languages, debugging and observability tools, automated testing, documentation, architecture, code reviews, technical guidance, and mentorship while collaborating with autonomy, systems, simulation, and test engineering teams.

Leads architecture, design, and delivery of scalable Buyer Cloud User Data platforms managing audience, taxonomy, metadata, and identity data. Guides distributed systems, APIs, microservices, cloud infrastructure, testing, CI/CD, observability, reliability, and cost optimization. Partners across engineering, product, privacy, and business teams, mentors engineers, resolves production issues, drives technical decisions, and balances new development with modernization and technical debt reduction.

Design, develop, operate, and support mission-critical cloud-native software services for Ford’s connected vehicle platform. Lead architecture and delivery of distributed microservices, improve reliability, observability, performance, security, and scalability, and manage incident response. Provide technical leadership through design reviews, standards, mentoring, roadmap influence, and cross-functional collaboration with product, operations, and platform teams.

Develop and ship native iOS software for Ford’s customer-facing mobile app, serving millions of drivers worldwide. Responsibilities include contributing to product architecture and design reviews, evaluating technologies, writing documentation, collaborating with product and design teams, and delivering production-grade software using agile and CI/CD practices. The role emphasizes Swift, SwiftUI, mobile architecture, testing, observability, debugging, and operational support.

Develops Python- and SQL-based software, integrations, automation, dashboards, and reporting tools for Ford’s verification and validation processes. Connects JIRA, Jama, TestRail, BI platforms, and internal systems through REST APIs; automates test data management, compliance checks, traceability, release readiness, and KPI reporting. The role also establishes testing toolchain standards, supports L2–L4 testing processes, improves data quality, and documents workflows and integrations.

Leads and develops software engineering teams responsible for customer acquisition, experimentation, personalization, and SEO/AEO features. Owns delivery outcomes, prioritization, technical strategy, architecture, system resilience, engineering excellence, and team health. Partners with product managers, TPMs, designers, and recruiting teams while guiding distributed systems, cloud infrastructure, developer tooling, and applied AI/ML initiatives.

Own the design, development, deployment, and maintenance of backend services, APIs, databases, integrations, and cloud infrastructure. Build secure REST and GraphQL APIs, optimize relational data systems, modernize service architecture, maintain CI/CD and testing, and implement privacy and security controls. Collaborate with frontend, QA, and product teams, review code, document systems, and mentor developers.

Designs, deploys, and supports NVIDIA Omniverse enterprise platform capabilities for digital twins, robotics, simulation, rendering, and autonomy. Responsibilities include managing Nucleus environments, developing USD asset pipelines and Kit extensions, deploying Isaac Sim and containerized workloads, integrating engineering systems, supporting distributed rendering, automating CI/CD workflows, and improving platform reliability, security, observability, and scalability. The role also troubleshoots complex platform and GPU infrastructure issues and documents technical standards.

Provide technical leadership to design, build, and operate scalable, secure cloud-native microservices and REST APIs (Java/Spring Boot/AWS). Drive architecture, code reviews, automated testing, CI/CD, observability, and resolution of complex production issues while collaborating with product, UI, and partner teams.

Lead the design, development, deployment, and operation of enterprise-scale Java and Spring Boot APIs, microservices, and cloud solutions. Provide technical leadership through architecture, design and code reviews, automated testing, security, observability, troubleshooting, and engineering best practices. Collaborate with product, UI, architecture, and partner teams while owning the complete software lifecycle, including deployment, monitoring, documentation, and operational support.

Designs scalable software architectures, automates complex workflows, and manages CI/CD delivery environments using Docker, Ansible, Jenkins, and Bamboo. Handles large datasets, leads QA planning and execution, and supports multi-platform Windows/UNIX systems. The role also requires software team leadership, mentoring junior developers, and proficiency in Python, C, or C++, with Elasticsearch and front-end development experience preferred.

Develop software supporting national security and computer network operations. Responsibilities require programming in C, C++, Python, or Assembly; operating-system internals; network programming; debugging; and automated testing. Preferred experience includes modern C++, kernel modules and drivers, reverse engineering, virtualization, build and code-quality tools, automation, CI/CD, and version control. A bachelor’s degree is required.

Design, develop, test, and optimize software for Software Defined Radio systems supporting electronic warfare capabilities. Implement signal-processing and jamming algorithms, integrate software with hardware, troubleshoot defects, participate in code reviews, create technical documentation, and collaborate with systems, hardware, and test engineers in an Agile environment.

Build and lead architecture for Cloudflare’s native iOS and Android WARP Mobile SDKs. Define public APIs, compatibility standards, diagnostics, performance requirements, and release practices. Develop secure, lightweight, well-documented SDK foundations; troubleshoot complex customer integration issues across application, SDK, network, and service layers; collaborate across product, engineering, backend, edge, and security teams; and mentor mobile engineers. The role requires deep Swift or Kotlin expertise and experience delivering customer-distributed SDKs or developer-facing products.

Build and operate core infrastructure for Moveworks' agentic AI platform, including distributed data stores, authentication, event streaming, configuration, rate limiting, observability, and reliability systems. Partner with machine learning, search, product, data, and frontend teams to define infrastructure roadmaps, improve microservice performance and scalability, identify bottlenecks, and deliver interdependent engineering projects.

Build and maintain scalable native Android and backend software, owning features from design through testing and delivery. Collaborate with product owners, apply software engineering best practices, enhance existing products, develop new capabilities, and contribute to intuitive, customizable customer experiences. The role also involves using AI productivity tools, applying modern UI frameworks, managing technical risk, and mentoring colleagues through knowledge sharing.

Design, develop, test, and maintain AI-native software features, backend services, and ServiceNow customizations. Own medium-complexity features through deployment and production support, build integrations and workflows, troubleshoot technical and AI issues, and improve reliability. Collaborate with customers and cross-functional teams, participate in code reviews and Agile ceremonies, support production incidents, and mentor junior engineers. Apply secure coding, testing, CI/CD, cloud, database, and responsible AI practices.

Develops, enhances, tests, implements, and supports enterprise applications across the full stack. Builds Pega and Java solutions, APIs, MuleSoft integrations, workflows, and database interactions. Troubleshoots production issues across application, integration, database, batch, and infrastructure layers; performs root-cause analysis and improves reliability. Contributes to solution design, modernization, technical debt reduction, cloud adoption, observability, and approved AI-assisted engineering practices while collaborating across technology and business teams.