Principal Software Engineer

Glocomms; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Glocomms seeks a Staff/Principal Software Engineer to build the core platform behind AI-powered applications. You will design scalable backend services, APIs, and infrastructure, collaborating with research, product, and engineering teams to deliver production-ready software.

The role emphasizes architecture leadership, distributed systems, and partnering with ML teams to productionize capabilities, while mentoring engineers and driving best practices in a fast-growing tech environment.

Qualifications

• 8+ years of software engineering experience at staff or principal level.
• Experience building production web services, APIs, and distributed systems.
• Expertise in software architecture, system design, and scalable backend development.

Responsibilities

• Lead the development of scalable backend services, APIs, and platform infrastructure.
• Design robust system architectures that connect user applications, business logic, data, and AI services.
• Build and optimize distributed systems for complex workflows, data processing, and workloads.
• Improve reliability, scalability, and performance through architecture and infrastructure design.
• Collaborate with research and ML teams to productionize advanced AI capabilities.
• Work with cross-functional teams to deliver high-impact software products.
• Drive technical excellence through code quality, architecture standards, and mentoring.

Skills

Staff/Principal level experience

Production web services

Distributed systems

Machine learning integration

Cross-functional collaboration

Mentorship

Job description

A well-funded, venture-backed technology company is building advanced AI-powered platforms that help researchers and domain experts model, analyze, and interact with complex scientific data. The organization sits at the intersection of artificial intelligence, large-scale data systems, and scientific computing, developing next-generation tools that accelerate research and innovation.

The Role

Staff/Principal Software Engineer

About the Company

A well-funded, venture-backed technology company is building advanced AI-powered platforms that help researchers and domain experts model, analyze, and interact with complex scientific data. The organization sits at the intersection of artificial intelligence, large-scale data systems, and scientific computing, developing next-generation tools that accelerate research and innovation.

The Role

We're seeking a Staff or Principal Software Engineer to help build the core platform powering a suite of AI-driven applications. This is a senior individual contributor role focused on designing scalable systems, building production-grade infrastructure, and partnering closely with research, product, and engineering teams to bring cutting-edge technology into real-world use.

Responsibilities

• Lead the development of scalable backend services, APIs, and platform infrastructure.
• Design robust system architectures that connect user applications, business logic, large-scale datasets, and AI services.
• Build and optimize distributed systems that support complex workflows, data processing, orchestration, and computational workloads.
• Improve system reliability, scalability, and performance through thoughtful architecture and infrastructure design.
• Partner with research and machine learning teams to productionize advanced AI capabilities.
• Collaborate across engineering, infrastructure, product, and research functions to deliver intuitive, high-impact software products.
• Drive technical excellence through code quality, architectural best practices, and mentorship.

Qualifications

• 8+ years of software engineering experience with a track record of operating at a Staff or Principal level.
• Strong experience building production web services, APIs, and distributed systems.
• Expertise in software architecture, system design, and scalable backend development.
• Hands-on experience integrating machine learning, AI, or large-scale data processing systems into production environments.
• Proven ability to solve complex and ambiguous technical challenges.
• Strong communication skills and experience collaborating with cross-functional stakeholders.

Preferred Experience

• Experience working in highly technical, research-driven, or data-intensive environments.
• Background in scientific computing, simulation platforms, analytics systems, healthcare technology, life sciences, or related industries.
• Experience building workflow orchestration, experimentation, or large-scale data platforms.
• Familiarity with developer platforms, internal tooling, or infrastructure that supports AI and ML product development.

What You'll Work On

• Large-scale AI applications
• Distributed backend infrastructure
• Data-intensive platform development
• Research and machine learning enablement
• Next-generation software products at the intersection of AI and advanced computing

This opportunity is ideal for engineers who enjoy building complex systems from the ground up, working alongside highly technical teams, and solving challenging problems in a fast-growing, innovation-focused environment.