Senior Engineer I, Product Intelligence

About the Role

We are seeking an experienced senior backend software engineer to design, build, and support our suite of AI/ML analytics applications for semiconductor manufacturing. In this role, you will own the full development lifecycle for assigned components—reviewing and guiding vendor contributions, writing and testing production code, and independently owning features and changes end to end. While we currently work with development vendors, we anticipate a gradual shift toward in-house owned development over time, and this engineer will play a key role in that transition—with the opportunity to help shape and grow the in-house team as it expands.

This is a senior individual contributor role for an engineer who brings strong experience, sound judgment, and the ability to take ownership of meaningful work without close oversight.

What You'll Do

• Design, build, and maintain backend services for our AI/ML analytics platform
• Own architectural direction and design decisions for assigned components, including technical documentation and standards
• Independently own features and changes from design through testing and deployment
• Review and guide vendor-developed code to ensure quality, consistency, and alignment with architectural standards
• Contribute to the gradual transition from vendor-led to in-house owned development, with the potential to mentor and help grow future team members
• Build and optimize systems that handle high-throughput, large-scale telemetry data from manufacturing equipment
• Write robust, well-tested code and contribute to the overall reliability of the platform
• Collaborate with field, product, and central engineering teams to translate requirements into technical solutions
• Support and troubleshoot deployed applications, including in on-premises and air-gapped customer environments

What You'll Need

• 5+ years of professional experience as a backend developer
• Strong proficiency in Go (required)
• Working proficiency across our core stack: Python, PostgreSQL, gRPC, HTTPS, Kafka, Redis, and Linux; familiarity with React/TypeScript/JavaScript on the frontend; docker/containerization experience
• Demonstrated ability to own features independently—from design through testing and delivery
• Experience reviewing and guiding the work of other developers or vendors
• Experience designing systems for performance and scale, particularly with high-volume, time-critical, and time-series data
• Comfort working with on-premises and air-gapped deployments
• Strong communication skills and the ability to collaborate across distributed teams

Nice to Have

• Experience building AI/ML applications (strongly preferred, but flexible for strong candidates)
• C#/C++ proficiency (a meaningful plus for this role)
• Exposure to or interest in semiconductor manufacturing
• Experience supporting field-deployed or customer-facing software

Additional Details

• Travel: Occasional travel to customer sites or to coordinate in person with field teams may be required.
• Security & Compliance: This role involves work within secure, air-gapped semiconductor manufacturing environments. Candidates must be able to comply with applicable confidentiality, data security, and export-control requirements.