Engineer, Senior
Qualcomm · Bengaluru · onsite · Posted 57d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Company: Qualcomm India Private Limited
Job Area: Engineering Group, Engineering Group > Software Test Engineering
Job Summary AI Inference Accelerator Test Automation - Senior Engineer you will be working for the Qualcomm Cloud AI100 platform. This will include defining test for software features, Enabling automated executing and reporting, analysis of bugs and system level testing. You will work closely with development and architecture team to understand accelerator features and define test plans and solutions needed to deliver production grade software/firmware to the end customer. Fluent in recent Agentic workflows and trends.
Responsibilities - Understanding how all elements of the ML software ecosystem work together and developing QA approaches/frameworks that fit the overall strategy.
- Responsible for development of validation strategies and creation of appropriate ML test harnesses for AI Inference Accelerator Cards
- Experience in bringing up embedded platforms for customers and internal engg releases.
- Strong debugging and analysis skills, for root causing complex issues
- Performance and Accuracy benchmarking of Deep Learning models (LLM,OD, CV, NLP, Transformers etc.)
- Ensure ML features are planned, validated, and automated as per release and customer requirements.
- Development and execution of test plans, monitoring and reporting on test execution and quality metrics.
- Strong hands-on automation skills to enable onboarding of automated features into the test framework.
- Masters or bachelors degree in computer science or related field experience
- 4+ years relevant work experience
- Strong in programming: Python, Agentic AI experience
- Good knowledge on ML/DL/LLM architectures and AI Inferencing solutions ( vLLM/Triton/Dynamo/etc..)
- Hands on Experience in building and automating the Flwo using Agents
- Hands-on experience in API testing developing automation scripts for Embedded/IOT Platforms
- Hands-on experience in benchmarking and optimizing Deep Learning Models on AI Accelerators/GPUs
- Familiarity with AI frameworks models performance, quantization, and accuracy metrics
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Test Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Test Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
- 1+ year of work or academic experience with Software Test or System Test, developing and automating test plans and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).
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Skills
AutomationIOTDynamobug trackingFirmwareai frameworksNatural Language ProcessingControl SystemsAutomatingProgrammingLarge Language Models (LLMs)Embedded SystemsdebuggingIoT platformscloudOnboardingArchitectureDeep LearningAPI TestingCi/CdArtificial IntelligenceMachine Learning
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Qualcomm
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