Top Software Engineer Jobs

Lead the design and implementation of AI-driven operations for telecommunications, focusing on automation, cross-functional collaboration, and team management.

The Lead Software Engineer designs and develops scalable AI applications, leads micro frontend implementations, collaborates on user experiences, and drives code quality standards.

Translate business requirements into program designs, develop software solutions, and implement application systems while collaborating with cross-functional teams.

Collaborate to design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems, requiring a strong ML engineering foundation.

Responsible for developing software for the Sigrity product line, focusing on computational electromagnetics, circuit theory, and field solvers while exploring AI techniques to improve performance.

The Enterprise Data Architect develops and optimizes database solutions, migrating data, conducting tests, and ensuring information system functionality.

As an Intern at Palo Alto Networks, you'll collaborate with engineers on software projects, gaining hands-on experience while contributing to cybersecurity solutions.

The Co-op will assist the Data Engineering team with web data feeds and utilize AI frameworks while collaborating on impactful projects.

We are seeking a Senior Software Engineer specializing in AI to enhance our Website Experience Platform. Responsibilities include developing AI-driven solutions to optimize web experiences for users. This role involves collaboration with teams to deliver performant digital experiences, focusing on customer trust and quality delivery.

The role involves designing and developing automation systems using low-code/no-code platforms and AI, improving operations in real estate technology.

Lead the backend engineering team, defining technical roadmaps, overseeing service architecture, mentoring engineers, and promoting best practices in a fintech startup.

The Principal Hardware System Architect defines system solutions for data centers, leading design projects and ensuring compatibility across products while collaborating with various engineering teams.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

Lead an engineering team to develop innovative educational solutions, ensure user engagement, and manage team growth while collaborating with cross-functional partners.

The Reserve Engineer is responsible for servicing and maintaining robotic hardware, providing customer support, and assisting with deployments. Requires excellent communication skills and flexibility with scheduling.

The Reserve Engineer handles hardware issues, provides customer service, assists with robot deployments, and ensures functionality at client sites.

As a QA Annotator, you will review, label, and ensure quality of data for AI projects, providing structured feedback and identifying errors.

As a QA Annotator, review and ensure quality on AI-generated projects by annotating data, providing feedback, and flagging issues for accuracy.

As a QA Annotator, you will review provided data, ensure quality control, and label content while working on AI projects.

Interns will support air traffic management programs by assisting in system engineering tasks, software development, and applying AI/machine learning concepts.

As a QA Annotator, review and label data for AI projects, ensuring quality and accuracy while providing constructive feedback to the team.

Lead the design and implementation of AI-powered tools to enhance engineering productivity and code quality across large teams, collaborating with engineers to validate solutions and promote best practices in software development.

The role involves integrating AI into products, designing multi-agent systems, and improving customer experiences through collaboration and innovation.

The role involves designing AI systems to enhance payroll experiences, collaborating with teams to automate workflows, and iterating on AI features for better customer outcomes.

As Engineering Manager, you'll lead the AI/ML platform team by providing technical leadership, driving operational excellence, and fostering a high-performing team culture. You'll manage stakeholders, align strategies, and oversee complex initiatives for successful AI/ML infrastructure delivery.