Microsoft Software Engineer II 

India, Telangana, Hyderabad 

391488567

The job is highly dynamic and involves working across various disciplines to successfully deliver the platform with great experience and quality.

A minimum of 2+ years of experience in software and/or product development

- Excellent C/C++/Java/Kotlin/JNI design and coding skills

- Proven track record of shipping high volume consumer devices (Windows, Android, Linux)

- Android skills (platform and app layer)

- Data/ML skills/LLM/OnDevice and Cloud AI models

- Design/coding/Debugging/Problem solving (Data structures)

- Proven track record of designing and directing complex architecture that spans multiple technologies

- Experience with shipping Android based products with AI powered experience
- BS in Engineering or equivalent experience

Additional Qualifications:

1) Data infrastructure - synthetic phone data and pipeline, automation, etc

2) DB with vector indexing and Embedding

3) APPX package for hosting models with encryption / theft protection

4) Background runners for data processing

5) LLM prompts and option sets for Sydney to support RAG

6) Suggestion service prompts

7) LlamA /AI Runtime (SNPe, QNN or similar)

- Ability to handle the debugger well to quicklyand resolve issues spanning multiple subsystems- Enthusiastic,and self-driven- High tolerance to ambiguity and ability make progress in the face of itStrong communicationskills and ability to work across multiple disciplines and functions (PM, Test, Hardware Engineers, etc.)- Some domestic and international travel will be necessary.

A big part of this job will be focusing on ultimate outcomes / big picture conceptualizing all the way down to ensuring the delivered product exceeds expectations with the feedback mechanisms in place to allow validation and continual improvement.

We are looking for talented Senior SW Engineer who has experience in working on designing efficient and scalable systems using LLMs for synthetic data generation, human in the loop labeling, automating algorithm validation, building reports and dash boards, etc. Job may also require to work on OnDevice and Cloud AI models.