Top Software Engineer Jobs in Pittsburgh, PA

As a Senior Software Engineer on the Mapping team, you will architect and develop robust, scalable systems for autonomous vehicle mapping, collaborating with multidisciplinary experts and handling complex data processing.

Lead improvements to decision-making, motion planning, and controls software quality for driverless vehicles. Implement validation, diagnostics, static analysis, compiler optimizations, and eliminate runtime allocations. Develop and deploy agentic AI tools to enforce design and validation principles, collaborate across subsystems, and present results to reduce failures before commercial launch.

Design and develop motion planning software and algorithms for self-driving vehicles, collaborating with engineers and researchers while maintaining progress on long-term goals.

The role involves advancing onboard sensor systems for autonomous vehicles, solving integration issues, and collaborating with multidisciplinary teams.

Lead design and execution of complex functional and automated tests. Develop and maintain Serenity-based automation frameworks and scripts (mobile/desktop), create API tests with Rest Assured/Postman, mentor junior testers, collaborate with DevOps and development teams, perform RCA, and support CI/CD and BDD/TDD practices.

Plan, integrate, and execute software verification and test activities for lunar lander systems. Design test plans, build and improve test infrastructure, run manual and automated regressions, report bugs, analyze performance, and lead anomaly investigations across hardware and software platforms.

The role involves full stack development, designing and maintaining distributed systems, utilizing AWS services, collaborating with teams, and ensuring system stability.

As a Software Engineer, you'll design and optimize algorithms for real-time sensor data processing, collaborating with a talented team on high-performance solutions for autonomous driving.

The Senior Software Engineer will design, build, and test software solutions, optimize processes, and collaborate in an agile team environment.

The SDET will develop automated testing, create detailed test plans, and manage defect tracking while collaborating with the development team to ensure high-quality software releases.

The Lead Software Engineer will guide the software engineering team, establishing best practices, enhancing software applications, and ensuring quality deliverables while collaborating with various engineering teams.

Lead and execute software testing for safety-critical medical device applications. Develop and maintain test plans, cases, and automated scripts; perform manual and automated testing; track defects; ensure requirements traceability and regulatory compliance; participate in cross-functional reviews and troubleshooting; estimate test effort and report test status on Scrum teams.

Lead embedded software engineer responsible for system-level architecture, design, debugging, testing and support for wearable medical devices. Lead a small team, create specifications, perform root-cause analysis, support sustaining activities, and ensure compliance with medical software quality standards.

Begin in customer-facing support to learn codebase, debug software and hardware, deploy and maintain customer environments, and communicate with technical and non-technical stakeholders. Grow into engineering roles building services, APIs, databases, containerized apps, and mobile features while participating in on-call support and customer site travel.

Develop and optimize auto-labelling systems using ML and computer vision, manage data pipelines, and collaborate with researchers.

Design, build, and maintain scalable .NET and Angular web applications across the full stack. Lead technical architecture, implement CI/CD pipelines, execute application and database migrations, write and test clean code, debug production issues, produce technical documentation, and mentor peers while collaborating with product, QA, and cross-functional teams using agile practices.

Own and improve the software layer between drone/swapper hardware and the rest of the stack. Investigate and resolve production issues with direct hardware access, build logging/diagnostics, collaborate with Mobile, Autonomy, Backend, and QA, own features end-to-end, and contribute to long-term platform architecture including OTA, communications, and device synchronization.

Develop and optimize machine learning models for autonomous vehicles, focusing on ML model deployment and performance across various compute platforms.