Top Software Engineer Jobs

The Senior Front End Software Developer will create secure, performant, cross-platform applications, collaborate on feature implementations, and ensure code usability and testing, with a focus on design and structure.

The Principal Engineer will architect and develop scalable AI-driven data platforms, mentoring engineers and aligning technical strategies with business goals.

The Internal Systems Engineer (Applied AI) builds AI tools, maintains agent platforms, and develops internal software for Customer Operations at impact.com. Responsibilities include working with business stakeholders, integrating AI in workflows, and improving operational efficiency through automation.

The Staff Software Engineer - AI SDK will design and implement features for Temporal's AI SDK, enhance AI application development, and engage with the developer community to improve reliability and support open-source contributions.

The role involves designing and developing enterprise-grade software solutions, integrating AI tools, collaborating with teams, and maintaining documentation while enhancing productivity for Yahoo personnel.

Design, integrate, validate, and optimize large-scale AI networking infrastructure. Lead Layer 3/4 and RDMA-based fabric architecture, performance characterization, congestion management, packet-level debugging, telemetry, automation, and deployment for hyperscale AI training and inference clusters.

The Staff Software Engineer will lead the architecture and development of backend services, integrate AI solutions, and enhance cloud-native capabilities while mentoring other engineers.

The role involves building AI-native applications and agents in a customer-embedded setting, focusing on rapid prototyping, full-stack engineering, and aligning solutions with business outcomes. It requires strong technical and communication skills for engaging with stakeholders to identify AI use cases and deliver measurable ROI.

Customer-facing cloud solution architect for Azure data platforms and AI readiness. Lead architecture design, proofs-of-concept, and production deployments focused on performance, resiliency, security, and measurable business value using Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview.

Architect and demonstrate simulation workflows using DSX Sim and Omniverse libraries to help partners and customers build, validate, optimize, and operationalize AI factory digital twins. Drive integration of Omniverse libraries, develop reference architectures, prototypes, benchmarks, and sample workflows, and coordinate with sales, product engineering, and partners to resolve blockers and advance adoption.

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.

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.

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.