Top Software Engineer Jobs

The Senior Solution Architect leads the architectural strategy for finance systems, aligning technology with business goals, ensuring compliance, and driving innovation through AI and ML integration.

The role involves developing advanced computational methods for semiconductor manufacturing, leading innovation, and scaling software for high data processing needs.

The Staff Algorithm Engineer designs, validates, and implements ECG algorithms for medical devices, ensuring they meet clinical and performance standards while complying with quality regulations.

Execute verification tests for flight software across spacecraft and launch vehicle programs. Develop and run automated test scripts in SIL/PIL/HIL environments, document results, track defects, support root cause analysis, assist hardware integration and simulator setup, and collaborate with engineering teams to ensure software quality under senior guidance.

Designs and executes validation strategies for integrated HPC & AI systems across servers, accelerators, storage, networking, firmware, and OS. Develops and automates tests, debugs complex issues, supports Linux certification, coordinates global test execution, and mentors test teams to improve release readiness and reliability.

Full‑stack software engineer responsible for designing, building, testing, and maintaining internal and external credit‑union applications. Work includes database design, APIs/services, front‑end UI, unit tests, participating in Scrum ceremonies, code reviews, automation and process improvements, mentoring junior engineers, and assisting in diagnosing production issues.

Lead and grow a mobile engineering team (iOS/Android) for Search & Discovery. Define mobile architecture, integrate ML features (on-device and server-side), drive cross-team collaboration, own performance and quality targets, and mentor engineers while shipping high-impact features.

Lead company-wide AI adoption and build an embedded engineering and product organization to ship AI-native internal tools. Own enterprise systems (CRM, ERP, HRIS, OMS, WMS), IT operations, security, data governance, and M&A systems integration. Partner with product and data leadership, set architecture and roadmap, and build a leadership team for IT, security, and internal systems to drive measurable efficiency and adoption across Finance, Revenue, People, Legal, Support, and Operations.

The Software Engineer will develop and enhance infrastructure and user-facing functionalities in cloud-native simulation platforms, collaborate on technical projects, and support AI and backend system initiatives.

Design and implement AI/ML platforms, establish secure connectivity, build CI/CD pipelines, integrate conversational AI, and ensure security compliance in insurance processes.

The Senior Software Engineer II will design and build backend features, evolve AI-native workflows, and enhance the payment infrastructure while collaborating closely with product teams to deliver high-quality solutions.

Design, build, and maintain end-to-end integrations between Commures platform and third-party healthcare systems (EHRs/EMRs). Implement scalable, reliable solutions using LLMs and modern cloud tooling, ensure HL7/FHIR and HIPAA compliance, troubleshoot production issues, mentor junior engineers, and drive integration platform architecture and monitoring.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.

As a Senior/Lead AI Software Engineer, you will develop intelligent agents for supply chain tasks, drive architectural decisions, lead technical strategies, and collaborate across teams while mentoring engineers.

Lead technical design and delivery of scalable, cloud-native SaaS solutions. Drive architecture and implementation across frontend and backend stacks, mentor engineers, apply AI/agent workflows and NLP, ensure high availability, and collaborate with product and cross-functional teams to ship reliable, production-grade systems.

Lead design and ownership of an AI-native web platform: web framework, design system, CMS, CI/CD, infrastructure, rendering and edge delivery. Define architecture and agentic SDLC, build evaluation guardrails, mentor engineers, and drive platform-wide technical alignment and migrations.

Design and implement high-performance graphics systems and pipelines for 3D generative AI products. Optimize rendering kernels and geometry processing on GPUs, integrate production-quality pipelines with data and model infrastructure, ensure scalability across GPU clusters and cloud, and collaborate with artists, ML researchers, and product teams. Contribute tooling, documentation, demos, and open-source work to advance Meshy's graphics capabilities.

The Grid Engineer designs and supports grid infrastructure for EDA workflows, enhancing performance and collaborating with engineering teams.

Design and implement end-to-end AI/ML software solutions to modernize client systems. Build developer-focused tools and prototypes, apply best practices for software workflows, and collaborate to refine experimental tooling while considering ecosystem and future enhancements.

Design and build backend services, APIs and workflows for an AI Neobank. Support insurance, payments, wallet, savings, investing and partner integrations. Create reliable systems for user accounts, transactions, reconciliation, notifications and operations. Improve system reliability, observability, security and performance while ensuring solutions are auditable and suitable for regulated financial products. Collaborate with product, mobile, operations and business teams.

Build end-to-end customer-facing and internal features for an AI neobank: web flows, backend APIs, admin tools, dashboards, integrations, and production reliability across fintech products.

Build and maintain cloud- and browser-based AI and automation applications (internal and customer-facing). Integrate with third-party APIs (QuickBooks, Microsoft Graph, CRM, Zoom), implement AI workflows (OpenAI), automate business processes (Zoho, PowerAutomate), and ensure security and maintainability while working closely with leadership and IT.

The AI Implementation Specialist will leverage AI tools in construction, shadow project teams to understand workflows, and synthesize insights to improve technology integration on jobsites.

The AI Implementation Specialist will integrate AI tools within construction teams, enabling them to work smarter and capturing expert knowledge to inform technology development. Responsibilities include shadowing project teams, evaluating contech tools, and conducting training sessions on AI workflows for field personnel.

The AI Implementation Specialist will work onsite to connect AI tools with field teams, capture field intelligence, and enhance construction workflows through technology. This includes training, evaluating tech, and providing insights to improve operational effectiveness.