Top Senior Software Engineer Jobs in Portland, OR

The Senior Software Engineer will design, develop, and support products in an enterprise or SaaS environment, utilizing various frameworks and technologies.

Develop and test software solutions, design scalable applications, manage existing platforms, and collaborate with teams to deliver advanced analytics and machine learning solutions.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

The role involves leading engineering decisions, shipping production code for the iOS app, and maintaining app architecture within a fast-paced, remote environment, focusing on customer experience and product development.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on AI datasets.

Design, build, and support Salesforce solutions using Apex and Lightning Web Components. Configure and customize Salesforce, integrate third-party tools, follow development lifecycle and best practices, mentor junior developers, commit code to Git, and advise government healthcare clients on modernization and platform improvements while meeting vetting requirements.

Designs, develops, tests, debugs, and documents software/firmware for embedded systems. Works independently on engineering projects, leads design reviews, coordinates verification testing, and collaborates with cross-functional teams.

Design, develop, test, and optimize system software for next-generation ARM SoCs in pre- and post-silicon phases. Analyze system-wide performance bottlenecks, recommend HW/SW policies, perform competitive workload comparisons, and drive full-stack adoption of performance optimizations across NVIDIA software and OSS SDKs.

Develop and maintain high-performance software for integrated hardware/software semiconductor systems. Build and optimize multithreaded/multiprocessing applications in C++/C# on Windows and Linux, collaborate with hardware and algorithm teams, diagnose system-level issues, contribute to architecture and design reviews, and use AI tools to accelerate development and testing.

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

Build and deliver scalable data solutions, integrate various data sources, develop workflows, participate in architecture discussions, and ensure efficient system operation.

The role involves designing, developing, testing, and optimizing software for NVIDIA's SoCs, focusing on performance enhancements and addressing architectural bottlenecks. Responsibilities include competitive analysis and driving performance optimizations across software products.

Design and develop DRM-enabled media software for Android and Windows. Contribute to architecture, implement media frameworks and streaming protocols, work at middleware/device-driver level, and integrate DRM schemes like Widevine and PlayReady.

Design, implement, and optimize onboard data aggregation and telemetry systems for ocean-deployed Nodes. Build reliable, low-latency network-facing software and efficient egress pipelines for constrained links, harden services with security best practices, improve testing and CI/CD, and collaborate cross-functionally on APIs, bandwidth prioritization, and system resiliency under intermittent connectivity.

Own end-to-end software integration across embedded firmware to flight-computer and autonomy layers. Triage cross-boundary issues, develop PIL/HIL test harnesses, maintain CI/CD and release processes, ensure OTA update robustness and observability, and capture repeatable integration procedures and verification data.

The Senior Software Engineer II will design and develop cloud-native backend systems for Stream Governance, mentor engineers, and solve complex data challenges in a team-focused environment.

Design, architect, and implement enterprise Salesforce solutions integrated with ERP/CPQ and other systems. Lead development, integrations, DevOps/CI-CD, testing, data governance, and mentor engineers while ensuring secure, scalable, and documented implementations.

Senior Software Engineer role focusing on design, implementation of software systems, leading technical work, and ensuring solution quality through collaboration and mentorship.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

As a Senior Software Engineer, you'll optimize and create cloud functions and SDKs, collaborating with product teams to enhance user experience and system functionality. Your role involves strategic project scoping and efficient systems design.

Responsible for partnering with Product Management to implement and improve the Legion Workforce Management solution, handling system configurations, integrations, testing phases, and collaborating with various teams while contributing to operational documentation and agile processes.

Lead the engineering team focused on transforming Autodesk.com into a digital growth platform. Oversee execution and technical leadership, collaborating across functions to drive customer acquisition and trial conversion.

The Sr. Software Engineer will design and maintain Java-based backend services, work on architecture design, and ensure high system reliability in both federal and AWS environments.

Develop core components of the CUTLASS platform, contribute to the MLIR-based backend compiler stack, and author example kernels while collaborating with GPU architecture teams.

The role involves benchmarking deep learning models on NVIDIA GPUs, improving software performance, and developing automation tools for performance optimization.