Staff Software Engineer

Trimble Inc.•Austin, TX

2d•$144,600 - $198,800•Hybrid

About The Position

Trimble is looking for a visionary Staff Software Engineer to anchor our Document Crunch engineering team and accelerate AI adoption across the globe! Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress. The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations. Document Crunch is a premier AI-powered contract intelligence platform within the Trimble AECO ecosystem, serving as intelligent DNA to create a future of zero project disputes and increased transparency. In this role, you will be at the absolute forefront of our AI-powered contract intelligence platform, directly defining the technical architecture and engineering standards that shape how construction teams manage risk. You will make high-impact contributions to cutting-edge AI/ML systems and data pipeline infrastructure, giving you a unique opportunity to build a future of zero project disputes across a global industry.

Requirements

7+ years of professional software development experience utilizing languages like Python, JavaScript, Node.js, C#, or Java.
Proven track record of designing and leading large-scale system architecture, with deep expertise in cloud-native systems, Docker, and Kubernetes.
Experience with API design, microservices patterns, distributed systems, and data pipeline architecture.
Deep knowledge of DevSecOps, infrastructure-as-code, and CI/CD best practices.
Strong problem-solving and communication skills, with the ability to convert ambiguous business problems into clear technical strategies.

Nice To Haves

Experience with AI/ML systems, RAG pipelines, or LLM applications.
Familiarity with construction technology, document processing, or enterprise software.
Contributions to open-source projects or active involvement in technical communities.

Responsibilities

Lead architectural design for critical problem domains, including AI/ML systems, data pipeline infrastructure, search/retrieval, and platform scalability.
Spearhead the development of scalable, secure, and performant cloud-native solutions that solve critical real-world challenges for our customers.
Collaborate with cross-functional teams to integrate advanced technologies into our core platforms.
Drive continuous improvement in DevSecOps, observability, CI/CD, and compliance automation.
Mentor and develop senior engineers, fostering a culture of technical growth and continuous improvement across the organization.