Top Software Engineer Jobs

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

The role involves designing and developing AI-driven software to improve geospatial data quality. Responsibilities include developing ML components, collaborating with cross-functional teams, and integrating AI algorithms for product releases.

Develop and maintain C++ machine control and data analysis software for advanced mask inspection systems. Collaborate with multidisciplinary teams to define system requirements, optimize performance, support integration and testing, and resolve customer escalations. Work in Linux environments and leverage RPC/REST APIs, containerization, and modern UI frameworks as needed.

Design and build Hazel's evaluation platform, focusing on AI quality, data pipelines, and creating measurable evaluation criteria through collaboration with financial experts.

The Senior Staff Software Engineer will enhance software products, guide team members, ensure application quality and safety, leverage AI tools, and participate in all aspects of the SDLC, requiring extensive experience and mastery of relevant technologies.

Develop and maintain AI tooling systems for space stations, focusing on frontend customizations, AI integration, and full-stack feature implementation.

The AI Cloud Architect will drive innovation in agentic AI systems, working on architecture, customer collaboration, and technical communication.

The role involves owning product areas, working on backend, frontend, and with LLMs/ML models, delivering high-quality experiments, and engaging customers.

As an SDK Software Engineer, you will develop and maintain AI SDKs, collaborate with teams, and contribute to open-source projects.

The role involves building AI platform capabilities, mentoring engineers, collaborating with teams, and scaling systems for large datasets as part of a legal tech transformation.

Lead full-stack product engineering for AI-powered healthcare features. Build frontend experiences, backend services, APIs, relational data models, and AI workflows. Prototype, ship, and iterate production systems; improve AI via evaluation and product signals. Ensure reliability, privacy, observability, and operational readiness while collaborating with product, design, customers, and engineers.

Lead ownership of the Salesforce platform with emphasis on CPQ and Billing: design and deliver Apex/LWC/Flow solutions, manage integrations (REST/SOAP, platform events, middleware), run CI/CD, enforce development best practices, mentor engineers, and apply AI-assisted tools to accelerate delivery.

Design, build, and maintain Azure-hosted web portals, CRM integrations, and the Argus EDI platform. Implement full-stack features (UI, API, data), integrate AI/automation, participate in Azure architectural decisions, and collaborate across TPA stakeholders to deliver scalable production solutions.

Design, develop, and operationalize full-stack, cloud-native applications for transaction monitoring and data controls. Build responsive UIs and Java-based microservices, integrate event-driven pipelines (Kafka, Spark), deploy on GCP (App Engine, GKE, Cloud Run), and implement LLM/Agentic AI and RAG automation while ensuring performance, resiliency, observability, and security.

As a Founding AI Backend Engineer at Pakket, you'll enhance backend systems, debug the CV pipeline, and deploy services across warehouses, ensuring operational reliability and rapid feature deployment.

Design and implement runtime protocols, formats, and systems to capture, serialize, stream, and replay interactive 3D content across engines. Own C++ runtime and C# APIs across editor, build, simulation, streaming, and playback. Optimize for low-latency, determinism, memory and bandwidth constraints, and build AI interfaces for inspecting and invoking engine state.

Design and implement application logic, APIs, and CLIs for AI developer tools; drive technology stack and implementation methodology; collaborate with UX, frontend, and AI experts; ensure product consistency; own test automation, CI/CD, releases, and documentation; support and maintain software.

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.

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.

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.

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.

Lead Gilead's HR technology strategy and delivery for Workday and related platforms. Act as IT business partner to HR, design solution architecture, integrations, and data governance; drive Workday Extend and AI adoption, automate HR processes, oversee implementations, vendors, testing, and release management to improve employee experience and operational efficiency.

The Agentic AI Systems Engineer will build infrastructure for GenAI applications, focusing on secure and scalable agentic systems, overseeing their lifecycle, and integrating AI capabilities into workflows.

Design, implement, and operate large-scale Ads infrastructure on Azure. Build and optimize data ingestion, storage, and streaming pipelines; ship new ad-product features; apply ML/AI to improve ad quality; analyze data for technical design; and handle live-site escalations with customers.