Top Software Engineer Jobs

Lead the design and development of Neurelo's architectural vision with a focus on Rust, building scalable, reliable systems and collaborating effectively across teams.

Own the reliability, performance, architecture, and platform integrations of Mattermost’s React Native mobile application. Improve behavior in disconnected and constrained environments, synchronization, recovery, crash-free performance, observability, native iOS and Android capabilities, secure storage, notifications, background execution, and enterprise distribution. Mentor engineers, guide architectural decisions, debug production issues, support security and compliance requirements, and contribute to the open-source codebase.

Designs, develops, modernizes, deploys, and supports backend applications, APIs, microservices, serverless functions, integrations, and cloud-native services. The role involves AWS platforms, databases, search technologies, CI/CD, Infrastructure as Code, observability, application security, production troubleshooting, technical design, and modernization initiatives. The engineer also documents architecture, collaborates across Agile teams, and applies AI-assisted development and AI-enabled application capabilities.

Develop, test, deploy, and maintain scalable software features using C# and .NET. Participate in architecture and API design, database optimization, code reviews, troubleshooting, performance improvements, and production support. Collaborate with product management, QA, data engineering, and DevOps teams on testing and CI/CD delivery. The role requires experience with ASP.NET Core, Blazor, relational databases, cloud hosting, containerization, and modern DevOps practices.

Own the architecture and operation of large-scale autonomous-driving datasets, from multimodal vehicle-data ingestion through curation, quality monitoring, labeling, versioning, and ML training delivery. Design schemas, storage, query, distributed pipelines, observability, and reproducible dataset splits. Lead data-quality, drift, anomaly, auto-labeling, human-review, and closed-loop workflows, including trajectory preparation for imitation learning and offline reinforcement learning. Provide staff-level technical leadership across autonomy, annotation, storage, governance, and model teams.

Principal Software Engineer responsible for Salesforce technical direction, enterprise architecture, API and integration strategy, engineering standards, security, reliability, governance, modernization, and AI-native engineering practices. The role leads cross-team initiatives, mentors engineers, influences technology decisions, and develops scalable solutions across Salesforce platforms while balancing regulatory, cost, performance, and business requirements.

A 12-week onsite engineering internship supporting the development of laser-driven inertial fusion hardware and software. Interns may work in computational and software engineering, simulations, mechanical design, systems engineering, manufacturing, pulsed power, controls, nuclear engineering, optics, or plasma physics. Responsibilities vary by expertise and include solving real-world technical problems with mentorship from industry experts.

Build and own full-stack platform features for education savings programs, including eligibility systems, fund ledgers, marketplace services, APIs, data models, frontend interfaces, and internal tools. Design scalable systems, write tests, manage deployments, monitor production services, and contribute to architecture, capacity planning, and code reviews. Collaborate with product and design teams to launch 0-to-1 products while balancing speed, scalability, and reliability.

Build end-to-end software for Argos, an operating system for materials manufacturing; Argos Sim for CAD automation, design-for-manufacturing, mold generation, and simulation; and factory automation systems integrating equipment and sensor data into digital twins. Work autonomously with hardware engineers to ship high-quality products quickly across software and physical manufacturing environments.

Own end-to-end features across Go backend services and React/TypeScript frontend applications. Design, develop, and debug high-load distributed systems, APIs, integrations, and event-driven services. Use AI coding agents as part of daily development, critically reviewing and verifying generated output. Contribute to architecture decisions, resolve complex production issues, and improve engineering practices for AI-assisted delivery.