Senior Engineer I, Product Intelligence
ASM
| Company | ASM |
| Category | Engineering |
| Location | US > Arizona > Phoenix |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 22 Jun 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer ATS (greenhouse) |
Description
Step into a career with ASM, where cutting edge technology meets collaborative culture.
For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving. But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.
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, d