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Senior Software Engineer, AI Compilers

  • Source: LinkedIn
  • Top Gen AI Jobs
  • On-site
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Home/Jobs/Senior Software Engineer, AI Compilers

Senior Software Engineer, AI Compilers

NXP Semiconductors

Hyderabad

7-8 years

Today

$54.2K–60.2K/yr

Full-time

Onsite

Skills Required LLM

RAG

LangChain

Gen AI

Python

C++

MLIR

TOSA

StableHLO

TorchMLIR

Compiler Design

graph lowering

IR design

operator fusion

scheduling

Description Senior Software Engineer focused on AI compilers for edge inference. This role sits within the Kinara Group at NXP Semiconductors and works on compiler and software stack development for NPU-based systems.

Company: NXP Semiconductors

Role: Senior Software Engineer, AI Compilers

Location: Hyderabad

Experience

  • 7-8 years of software engineering experience
  • Hands-on compiler and systems work
  • Track record of shipping compiler components or systems software used in deployed products

Responsibilities

  • Implement compiler modules within defined subsystems
  • Participate in design and deployment of quantization flows and numerical-correctness verification
  • Develop and ship production-grade compiler passes and runtime integration components
  • Perform low-level optimizations and collaborate with kernel teams to address hardware/software performance gaps
  • Contribute to compiler CI pipelines, test suites, profiling, and release processes
  • Debug and root-cause performance and correctness issues on customer models
  • Produce reproducible fixes for customer model issues
  • Mentor junior engineers
  • Contribute to design reviews
  • Provide feedback to product and silicon teams on compiler-driven feature opportunities and tradeoffs

Additional Responsibilities

  • Build stable, debuggable, and performant compiler components
  • Work cross-functionally with hardware architects and kernel teams
  • Contribute to team engineering practices

Nice To Have

  • Familiarity with MLIR-based frontends and dialects such as TOSA, StableHLO, and TorchMLIR
  • Exposure to AI compiler stacks, hardware backends, or accelerator targeting
  • Experience working with large-scale models or production ML inference pipelines

More Skills MLIR dialects, Lowering passes, Target code generation, Quantization flows, Numerical correctness verification, Compiler passes, Runtime integration, Low-level optimizations, Code generation, Debugging, Profiling, Performance toolchains, CI pipelines, Test suites, Customer model debugging, Hardware/software co-design, NPU, Accelerators

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Skills

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  • Python
  • cplusplus
  • microsoft-graph
  • curated
  • pubmatic
  • abc-fitness
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