Software Engineer (Testing)

The interview process at forms.cloud.microsoft typically consists of an online aptitude test followed by a technical interview focused on embedded testing, data structures and algorithms, and a final HR round. The difficulty is moderate; candidates should be comfortable with C/Python coding and testing concepts. Practice mock tests and review past placement papers to improve confidence.

Round 1: Online aptitude & coding test → Round 2: Technical interview (testing concepts, embedded fundamentals, problem solving) → Round 3: HR interview (fitment, communication, expectations)

embedUR systems is a fast‑growing Edge AI specialist that helps product teams move from proof‑of‑concept to production on resource‑constrained devices. With its Silicon Valley headquarters and a global engineering team, the company offers end‑to‑end services such as model optimization, firmware integration, hardware bring‑up, and platform tuning. Its flagship offering, ModelNova, provides a curated library of more than 100 pre‑trained, production‑ready AI models for vision, audio, and sensing, all optimized for tiny chips used in cameras, sensors, gateways and wearables. The firm’s deep roots in embedded software, networking and telecom—spanning Wi‑Fi, DOCSIS and broadband—have earned it the trust of startups and Fortune‑500 enterprises alike.

B.E / B.Tech in ECE, EEE, EIE, CSE, IT or related Computer Specialization; graduating batch 2026; minimum CGPA 6.5/10 (or equivalent); 12th standard minimum 60%; 10th standard minimum 60%; no backlogs or arrears at the time of joining; Indian citizenship or eligibility to work in India.

embedUR systems is a fast‑growing Edge AI specialist that helps product teams move from proof‑of‑concept to production on resource‑constrained devices. With its Silicon Valley headquarters and a global engineering team, the company offers end‑to‑end services such as model optimization, firmware integration, hardware bring‑up, and platform tuning. Its flagship offering, ModelNova, provides a curated library of more than 100 pre‑trained, production‑ready AI models for vision, audio, and sensing, all optimized for tiny chips used in cameras, sensors, gateways and wearables. The firm’s deep roots in embedded software, networking and telecom—spanning Wi‑Fi, DOCSIS and broadband—have earned it the trust of startups and Fortune‑500 enterprises alike. The role of Software Engineer (Testing) is designed for fresh graduates who are passionate about quality assurance in embedded and AI‑enabled systems. As a tester, you will work closely with hardware and firmware engineers to validate the functionality, performance, and reliability of Edge AI solutions. You will be part of a collaborative environment where rapid prototyping, rigorous testing, and continuous improvement are core to the product lifecycle. Key Responsibilities: 1. Design, develop and execute test plans and test cases for embedded AI firmware and hardware bring‑up. 2. Automate regression suites using Python, Bash or similar scripting languages. 3. Perform functional, integration, performance and power‑consumption testing on target devices. 4. Log defects, track them to closure, and work with cross‑functional teams to reproduce and resolve issues. 5. Validate model accuracy and latency on edge chips using ModelNova libraries. 6. Contribute to continuous integration pipelines and ensure test coverage is maintained. 7. Participate in code reviews and provide feedback on testability of new features. 8. Document test results, create detailed reports and suggest improvements for product reliability. 9. Stay updated with the latest testing tools, methodologies and Edge AI trends. 10. Assist in creating and maintaining test environments, including hardware setups and simulation tools. Tech Stack: C/C++, Python, Embedded Linux, RTOS, Git, Jenkins, JIRA, Wi‑Fi/DOCSIS modules, Edge AI SDKs, Power measurement tools. Growth Path: Freshers start as Junior Test Engineers, progress to Test Engineer, Senior Test Engineer, and can move into Test Lead, QA Manager or even Product Engineering roles as they gain domain expertise in Edge AI. Why Join embedUR systems? You will work on cutting‑edge AI solutions that run on tiny devices, gain exposure to both software and hardware domains, and be mentored by engineers who have delivered large‑scale IoT and broadband projects for global customers. The company’s culture encourages rapid learning, ownership, and the chance to see your work ship to real‑world products within months.