About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Responsibilities
- Work with validation engineers to automate tests/analysis for V&V activities
- Build and extend Python test frameworks and libraries for device control, test orchestration, and data analysis
- Integrate tests into existing/new CI/CD pipelines
- Package and deploy test software to Linux, Windows, and macOS hosts
- Write and maintain device and instrument drivers (ADB, serial/UART, SCPI/VISA, DAQs)
- Integrate test stations/DUTs to a shared device farm for hardware-in-the-loop testing
- Support bring-up of test equipment and bench instruments
- Define fixture software interfaces, and work with external vendors on bring-up
- Build and maintain pipelines moving large volumes of test and image data from lab stations to cloud storage and queryable databases
- Build dashboards and alerts for product metrics, station health, and data pipelines
- Write unit-tested code and review changes from other engineers
- Build and extend AI tooling (agents, skills, etc.) to improve development/validation workflows
- Potentially up to 5-10% travel as needed to CMs in China
Minimum Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
- 5+ years of software development experience, including hardware or system test automation
- Experience writing robust software in Python using industry best practices
- Previous experience onboarding to mature codebases, build systems, and CI, and contributing through code review
- Experience automating lab instruments/equipment
- Experience analyzing test data using scripts (matplotlib, pandas, etc.) or directly via SQL
- Strong problem-solving and debugging skills
- Professional oral/written proficiency in English, for code/design reviews and collaboration with a distributed team
Preferred Qualifications
- Experience in consumer electronics V&V
- Experience working in a large monorepo with build systems (ex Bazel)
- Familiarity automating tests on Android devices using ADB (Android Debug Bridge)
- Experience building automated data pipelines and dashboards
- Experience designing Python libraries or service APIs (e.g., gRPC/protobuf)
- Familiarity automating motion stages, robotic fixtures, or camera-based measurements
- Experience reading schematics and system block diagrams
- Experience building device farms or CI for hardware-in-the-loop testing
- Familiarity using AI tools (ex. Claude Code, OpenCode, Codex, etc.)
- Professional working proficiency in Mandarin, for collaboration with manufacturing partners
- Based in Penang Centific Office (long term dedicated engineering lab in Penang)
Skills Required
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
- 5+ years of software development experience, including hardware or system test automation
- Experience writing robust software in Python using industry best practices
- Experience onboarding to mature codebases, build systems, and CI, and contributing through code review
- Experience automating lab instruments and equipment
- Experience analyzing test data using scripts or SQL
- Strong problem-solving and debugging skills
- Professional oral and written proficiency in English
- Experience in consumer electronics verification and validation
- Experience working in a large monorepo with build systems such as Bazel
- Familiarity automating tests on Android devices using ADB
- Experience building automated data pipelines and dashboards
- Experience designing Python libraries or service APIs such as gRPC or Protocol Buffers
- Familiarity automating motion stages, robotic fixtures, or camera-based measurements
- Experience reading schematics and system block diagrams
- Experience building device farms or CI for hardware-in-the-loop testing
- Familiarity using AI tools such as Claude Code, OpenCode, or Codex
- Professional working proficiency in Mandarin
- Based in the Penang Centific office
Centific Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Centific and has not been reviewed or approved by Centific.
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Healthcare Strength — Feedback suggests core medical, dental, and vision coverage is comprehensive, with mental‑health support included. U.S. offerings also include HSA/FSA and are described as solid insurance options.
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Flexible Benefits — Feedback suggests flexible hours and work‑from‑anywhere options are widely promoted, with flexible PTO available in some contexts. Learning stipends and development programs add adaptable elements to the package.
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Parental & Family Support — Feedback suggests paid parental leave is explicitly available to all parents. This positions family leave as an accessible component of the overall package.
Centific Insights
What We Do
Zero distance innovation for GenAI creators and industries Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
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