Senior Test Engineer

Univers; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Univers, the Platform for Physical AI, seeks a Senior QA Architect to own the vision, strategy, and execution of product testing across its AI-powered products. You will develop frameworks, criteria, and metrics to ensure reliable, high-quality solutions for customers.

You will work closely with Product and Engineering to establish a world-class testing function, scale testing capabilities, and drive continuous improvement across the product lifecycle.

Qualifications

• 5+ years of software testing, QA, or related technical role.
• Proven experience testing platform, SaaS, AI-powered products, ML systems, or LLM-based apps.
• Strong understanding of AI evaluation methodologies and measuring AI system performance.
• Experience designing testing frameworks and quality processes from scratch.
• Experience leading test efforts for complex products.
• Ability to translate complex technical issues into clear insights and recommendations.

Responsibilities

• Develop and execute Univers’ testing strategy across AI-powered products.
• Create testing frameworks and methodologies for evaluating functionality, usability, accuracy, reliability, and performance.
• Design processes for testing AI outputs with quality benchmarks and metrics.
• Build test plans, test cases, and documentation to support releases.
• Identify gaps, risks, and improvements through rigorous testing.
• Partner with Engineering to improve product quality and development processes.
• Establish repeatable workflows for regression, UAT, and release validation.
• Analyze testing results and provide actionable insights to improve product performance.
• Develop best practices for AI evaluation including accuracy, consistency, and edge cases.
• Help define quality standards as Univers scales its products and customer base.
• Build and evolve the testing function and team growth.

Skills

Software testing

Quality assurance

AI evaluation

QA from scratch

Cross-functional collaboration

Automated testing

Test frameworks

LLM-based applications

Tools

Automation tools

CI/CD pipelines

Job description

About Univers

Univers is the Platform for Physical AI, helping organizations orchestrate complex energy, infrastructure and operational systems with intelligence that understands, predicts and acts in the physical world.

Our AIP platform connects IT, OT and IoT data across enterprise systems, assets, sensors and edge environments, creating a real-time operational foundation for monitoring, optimization, automation and AI-driven action. Across energy, utilities, buildings, manufacturing, transportation and logistics, Univers helps organizations improve performance, resilience, resource efficiency and sustainability.

With more than 400 million connected sensors and devices, more than 1,005 GW of energy assets under AI management and more than 800 customers globally, Univers operates one of the world’s largest real-time intelligence platforms for physical infrastructure.

For more information, please visit https://univers.com/

Job Summary

This role will own the vision, strategy, and execution of product testing across Univer’s products. You will develop the frameworks, processes, and standards needed to evaluate our AI-powered products, identify opportunities for improvement, and ensure we deliver reliable, high-quality solutions to our customers.

This role requires someone who understands both software testing and AI product evaluation — someone who can think critically about how AI systems should be tested, measured, and improved.

You will work closely with product and engineering teams to establish a world-class testing function.

Key Responsibilities:

• Develop and execute Univers’ overall testing strategy across AI-powered products
• Create testing frameworks and methodologies for evaluating product functionality, usability, accuracy, reliability, and performance
• Design and implement processes for testing AI outputs, including quality benchmarks, evaluation criteria, and success metrics
• Build structured test plans, test cases, and documentation to support product releases
• Identify gaps, risks, and improvement opportunities through rigorous product testing
• Partner with Engineering team to improve product quality and development processes
• Establish repeatable workflows for regression testing, user acceptance testing, and release validation
• Analyze testing results and provide actionable insights to improve product performance
• Develop best practices for AI evaluation, including assessing accuracy, consistency, hallucination risks, and edge cases
• Help define quality standards as Univers’ scales its products and customer base
• Build and evolve the testing function, including future team growth and processes

Basic Qualifications:

• 5+ years of experience in software testing, quality assurance, product quality, or a related technical role
• Proven experience testing platform, SaaS applications, AI-powered products, machine learning systems, or LLM-based applications
• Strong understanding of AI evaluation methodologies and how to measure AI system performance
• Experience designing testing frameworks and quality processes from the ground up
• Have 3+ years of experience in QA or quality assurance, with a track record of leading test efforts for complex products
• Are comfortable being the person who builds the QA function from scratch — defining the processes, picking the tools, and setting the bar for quality
• Ability to translate complex technical issues into clear insights and recommendations
• Strong analytical and problem-solving skills with high attention to detail
• Experience working cross-functionally with Engineering, Product, and Customer-facing teams
• Comfortable operating in a fast-paced startup environment with changing priorities
• Familiarity with automated testing frameworks and tooling
• Experience building quality teams or functions within a growing organization

Preferred:

• Proven experience building and maintaining large-scale automation frameworks.
• Demonstrated ability to debug highly complex, intermittent, and cross-domain issues.
• Excellent communication skills and ability to influence without authority.
• IoT Protocols: Domain expertise in industrial and IoT communication protocols (Modbus, OPC-UA, BACnet, CAN, MQTT, CoAP, WebSockets, HTTP/REST).