Top Engineering Jobs

Develop test automation tools and frameworks for cloud-based products and AI features, including skills, agents, and MCP servers. Automate test execution against deployed environments in collaboration with DevOps, identify and prioritize defects with application developers, and support QA needs through daily cross-functional communication. The role is remote, aligned to Eastern U.S. hours, with approximately two weeks of travel annually and occasional off-hours support.

Responsible for industrial engineering activities including method analysis, material flow, machine loading, capacity studies, labor planning, and manufacturing capability records. The role identifies production problems, develops improvement programs, reduces maintenance costs, improves output, supports manufacturing systems, and collaborates with engineering, production, sales, sourcing, and manufacturing leadership.

Leads the Enterprise Systems engineering team, partnering with finance, product, business, and analytics stakeholders to deliver business-facing tools, integrations, platforms, and reporting. Responsibilities include writing and maintaining code, evaluating architecture, improving system reliability and observability, managing stakeholder expectations, mentoring and managing engineers, and overseeing operational support for finance systems.

Leads the design, evolution, and operation of Wellmark’s internal developer platform. Responsibilities include platform integrations, self-service workflows, software catalogs, automation, architecture governance, security, infrastructure, technical planning, stakeholder consulting, mentoring, and improving developer productivity, adoption, reliability, and experience.

Leads a Test Engineering team in an electronics manufacturing environment, overseeing PCBA Functional, In-Circuit, and Flying Probe testing. Responsibilities include defining test strategies, developing and validating test programs and fixtures, supporting NPI and production ramp-up, troubleshooting failures, improving yields and test efficiency, standardizing processes, and collaborating with manufacturing, quality, design, program management, and customers.

Summer 2027 interns will embed with business teams to identify opportunities, prototype solutions, and rapidly deliver software from concept through production. Responsibilities include collaborating with technical and non-technical stakeholders, developing with multiple programming languages and AI agents, working with data structures, storage systems, cloud infrastructure, and front-end frameworks, and adapting independently in an iterative environment.

Distinguished Engineer responsible for defining Nike’s long-term technology strategy across global consumer, marketplace, commerce, and digital experience platforms. The role leads large-scale architecture, cloud modernization, AI and agentic commerce adoption, engineering productivity, reliability, scalability, security, observability, and FinOps initiatives. This senior technical authority influences multiple organizations, advises executives, mentors technical leaders, and drives innovation across Nike App, SNKRS, Nike.com, personalization, partner experiences, and data and AI platforms.

Combines solutions engineering and forward-deployed engineering by leading technical discovery, building proofs of concept, developing production agentic integrations, and deploying compliance solutions for enterprise payroll clients. Responsibilities include requirements gathering, API and webhook integration, debugging data and jurisdiction issues, customer presentations, business-case development, implementation documentation, and handoff to Client Success.

Develops, integrates, validates, and supports semiconductor test solutions across SLT, Burn-In, HPC, and AI platforms. Responsibilities include system bring-up, test-flow optimization, hardware and software integration, customer deployments, root-cause analysis, production ramp support, performance characterization, documentation, training, and collaboration with engineering and product teams. The role requires hands-on troubleshooting across testers, handlers, thermal systems, instrumentation, firmware, networking, and test programs, with domestic and international customer travel.

Builds AI and LLM observability capabilities across data ingestion, infrastructure, analysis, and product visualizations. The role develops systems surfacing cost, token usage, errors, and anomalies; contributes to data models; collaborates with product and design; and ships customer-facing SaaS features. Engineers participate in on-call rotation, experimentation, and fast feedback cycles, with opportunities to work on production LLM and agent-powered features.