Top Software Engineer Jobs in Pittsburgh, PA

Design and build user-focused web applications using React, collaborating with cross-functional teams to deliver scalable features while ensuring application performance and security.

The Software Engineer Senior designs, develops, and maintains software solutions, collaborating to meet complex business needs and ensuring quality delivery.

As a Senior iOS Engineer, you will develop features for Duolingo's short-form lessons, collaborate on software projects, mentor junior engineers, and optimize applications. Responsibilities include building iOS apps in Swift and enhancing user engagement in educational content.

The Software Engineer will develop software solutions, engage with clients, optimize processes, and innovate within a fast-paced environment.

Lead the design and implementation of complex behaviors for humanoid robots, integrating motion planning and new autonomy capabilities, while mentoring junior engineers.

In this role, you will develop and deploy autonomous behaviors for humanoid robots, collaborating with teams on complex problems related to manipulation under uncertainty.

Design and support full-stack data-driven applications, develop APIs, build data pipelines, and collaborate with teams on data integration and deployment.

The Software Engineer will design and maintain backend infrastructure for the Aurora Atlas, focusing on scalable data processing and collaboration with teams.

The Software Engineer will develop applications for a healthcare platform, focusing on coding standards, automation, collaboration, and user-friendly interfaces.

The Data Platform Engineer will design and implement systems for data ingestion, management, and efficiency for autonomous vehicle data, collaborating across teams to improve data and system performance.

The Software Engineer will design and maintain software for power control systems in Linux and Windows, collaborating with engineers across disciplines.

Lead feature lifecycle for a mapping system, develop backend services and web applications, ensure code quality, and mentor engineers.

The Software Engineer will develop infrastructure for vehicle software integration, enhance fault monitoring, and create tools for software analysis within autonomous vehicles' control systems.

Design and develop software solutions, integrate deliverables, troubleshoot and maintain systems while working collaboratively with product owners and customers.

The Software Engineer II will develop a differentiable vehicle dynamics simulator using PyTorch, build simulation pipelines, and analyze data for safety and performance of Aurora's autonomous technology.

The Software Engineer will develop and maintain production services for data labeling operations, ensuring platform reliability and applying ML Ops practices to enhance data quality and coverage.

Design and implement automated pipelines for the Aurora Driver's planning behavior, collaborating with various teams to ensure delivery of validation datasets.

Design and optimize applications for an energy-efficient processor. Collaborate with the compiler team on performance analysis and application deployment.

Lead the Offline Testing Infrastructure team, design next-gen architecture, optimize test ecosystems, manage incidents, and mentor engineers.

As a Staff Software Engineer, you will architect and maintain our loan origination platform, ensuring high code quality and reducing technical debt while collaborating with design and product teams to deliver customer value.

Architect and develop core HIL software for autonomous vehicle systems, optimize performance, mentor engineers, and lead technical design reviews.

In this role, you will design and maintain components of a distributed batch compute engine, focusing on optimization, API design, and performance improvements while collaborating with various engineering teams.

Design and implement software libraries for power electronics converters, develop real-time code, and create technical documentation while collaborating across teams.

Lead architectural vision and development of scalable infrastructure for self-driving technology, mentoring engineers and overseeing complex projects.

Design and build ML infrastructure components for autonomous vehicles, ensuring scalability and robustness for high-volume data processing and model training.