Software Quality Engineer (Embedded Systems) [T500-26869]

ANSR is hiring for one of its clients.

About ANSR MedTech:

Who We Are:

ANSR MedTech Capability Center is a new global innovation hub being established in India for a Fortune 100 Fastest-Growing Company in the MedTech sector. Built in partnership with ANSR, the center draws on ANSR’s proven experience in establishing and scaling high-performance Global Capability Centers (GCCs) for leading global enterprises.

ANSR MedTech center brings together world-class engineering, product, and technology talent to build next-generation healthcare platforms and solutions that power global operations.

Our Vision:

To build a next-generation MedTech capability center that powers global healthcare innovation. We envision:

• High-impact innovation hubs shaping global product and technology roadmaps
• Centers that go beyond support functions to drive core engineering and platform development
• Sustainable, scalable ecosystems that nurture world-class MedTech talent
• Capability centers that directly influence patient outcomes worldwide
• At its core, the ANSR MedTech Capability Center is about enabling innovation that touches lives at scale.

About R&D:

The R&D organization at ANSR MedTech is being built to support the development, testing, and long-term sustainment of complex, regulated products used at global scale.

This team plays a critical role in engineering excellence, product quality, and operational reliability, working closely with global R&D leaders to deliver against well-defined technical standards, quality systems, and product outcomes.

Unlike a traditional offshore or support model, R&D in India is designed to take on meaningful ownership across the product lifecycle, particularly in areas where scale, focus, and execution discipline are essential.

What Makes This Opportunity Stand Out:

• Work on real, production grade products that require high engineering rigor, reliability, and regulatory discipline
• Be part of a team that spans embedded software, mobile applications, systems engineering, test automation, and lifecycle engineering
• Contribute to end-to-end R&D workflows—from development and verification through sustaining engineering and triage
• Help build and scale a new R&D capability from the ground up, shaping labs, automation, ways of working, and quality culture
• Partner directly with senior global R&D leaders and engineers, gaining exposure to how products are built and operated at enterprise scale

How the R&D Team Operates:

• Teams are based in India and embedded in day-to-day delivery, not isolated support functions
• Technical direction, quality standards, and product outcomes are globally aligned, with strong local execution and accountability
• The organization is built under a Build–Operate–Transfer (BOT) model with ANSR, with responsibilities expanding as the site matures
• Success is measured by engineering quality, predictable delivery, adherence to quality systems, reduced defects over time, and strong collaboration with global R&D teams.

Position Overview:

The candidate will work with cross-functional teams, including systems, software, mechanical, and electrical engineers on projects related to root cause investigation and mitigation of device reliability issues, qualifying new component suppliers, and supporting new product development. These functions and others help support ANSR MedTech’s ability to continue to improve the quality of life for more diabetes patients every day.

We are seeking a skilled and detail-oriented Engineer to join our team. In this role, you will be responsible for diagnosing and resolving field issues reported by users of our Android and iOS applications. You will work closely with our development, QA, Lifecycle engineering, Systems and support teams to ensure timely and effective resolution of issues, enhancing the overall user experience.

Key Responsibilities:

• Develop and maintain manual and automated test cases for embedded software.
• Perform functional, regression, performance, stress, and reliability testing.
• Triage and debug field issues reported by users.
• Analyze crash reports, logs, and other diagnostic data to identify the root cause of issues with the usage of AI tools.
• Collaborate with development teams to reproduce, diagnose, and resolve issues.
• Communicate effectively with support teams and stakeholders to gather necessary information and provide updates on issue status.
• Document finding…