R&D Software Engineer

Your Opportunity

The Schwab Technology Services (STS) Research & Development team explores emerging technologies and evaluates how they can create value across Schwab.

The R&D Software Engineer contributes to early-stage research initiatives by building prototypes, experiments, and proof-of-concepts under the guidance of senior engineers and technical leaders. This role is well-suited for engineers early in their careers who are curious, eager to learn, and motivated to work on innovative technology in a collaborative research environment.

Key Responsibilities

• Contribute to the design and development of prototypes and proof-of-concepts in areas such as generative AI, digital assets, and emerging platforms. 
• Implement well-scoped technical solutions based on research direction and architectural guidance.
• Independently research and learn a new area/field, define and conduct relevant experiments, present key results, and work with stakeholders to identify valuable use cases
• Assist with experimentation, testing, and iteration on early-stage concepts and technical ideas.
• Collaborate with cross-functional partners on research initiatives, platform integrations, and exploratory projects. 
• Participate in technical discussions, code reviews, demos, and knowledge-sharing sessions.
• Clearly document work and communicate progress, challenges, and learnings to the broader team. 

What you have

Requirements

• Bachelor’s degree in computer science, computer engineering, or a related technical field. 
• 2-5 years of professional experience, internships, or academic project work in software engineering or applied research.
• Exposure to one or more programming languages such as Python, Java, C#, or JavaScript/Node.js. 
• Foundational understanding of modern software development practices.
• Interest in emerging technologies such as AI/ML systems, agent-based architectures, or decentralized technologies. 
• Ability to work effectively in ambiguous problem spaces with guidance and mentorship. 
• Strong collaboration skills, curiosity, and a growth mindset. 

What Success Looks Like in This Role

• Delivers reliable, well-structured code for research prototypes and experiments.
• Learns quickly from feedback and applies best practices over time.
• Demonstrates curiosity and initiative in exploring new technologies.
• Builds strong working relationships across the R&D team and partner organizations.