Top Software Engineer Jobs in Portland, OR

The Senior Software Engineer will lead the development of payment systems, oversee key subsystems, mentor engineers, and ensure high-quality code and architectural standards while collaborating with cross-functional teams.

Develop and implement full stack features for a healthcare platform, focusing on both frontend (React) and backend (Node.js) development. Responsible for performance optimization, API creation, testing, and collaboration with data engineering teams.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

The role involves developing NvSci software for cross-platform integration, enhancing APIs, optimizing performance, and ensuring automotive safety standards, while leading complex system feature development.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Leads end-to-end software development for AI-infused enterprise applications, including architecture, database design, coding, testing, deployment, and service reliability. Builds Copilot and agentic solutions using Azure and modern full-stack technologies. Provides technical leadership, mentors engineers, establishes quality and security practices, supports enterprise integrations, and collaborates with product teams, program managers, UX designers, and data scientists to deliver scalable commercial software.

Leads architecture, technical strategy, and roadmap for Windows ML compiler infrastructure, execution runtimes, hardware acceleration, and developer tooling. Drives AI workload optimization across CPUs, GPUs, and NPUs; partners with hardware vendors and internal platform teams; solves complex systems challenges involving scheduling, memory management, code generation, graph optimization, and hardware abstraction. Provides technical leadership and mentorship while shaping on-device and generative AI execution strategy.

Define Scribd’s technical vision for agentic engineering and establish architecture, patterns, and guardrails for AI-assisted software development. Lead internal developer tools, libraries, platforms, and engineering workflow improvements across codebases, CI/CD, and infrastructure. Partner with engineering leadership on ambiguous cross-organizational initiatives, mentor senior and staff engineers, and drive adoption of coding-agent capabilities throughout the organization.

Develop, validate, debug, and optimize GPU software for graphics, media, AI, and compute workloads. Support post-silicon bring-up, hardware/software debugging, workload analysis, automation, profiling, and performance validation across current and future Intel platforms. Collaborate with software, hardware, architecture, and validation teams to improve functionality, reliability, power efficiency, and platform readiness.

Designs, develops, deploys, and operates software supporting actuarial and financial analysis. Builds automated data solutions, calculation engines, reporting tools, and model integrations using Databricks and SQL. Partners with actuaries, finance, IT, and data teams across the software development lifecycle, supports production solutions, documents technical designs, mentors colleagues, and promotes AI-enabled development practices.

Designs, develops, tests, operates, and maintains mainframe software using COBOL, DB2, JCL, and VSAM. Responsibilities include full-stack ownership, architectural design, production-ready coding, code reviews, failure analysis, reliability improvements, compliance, security, and collaboration within an agile and DevOps environment. Requires solving technical problems, communicating with product stakeholders, and delivering scalable, reliable software that supports customer experience and banking technology transformation.