Software Engineer – AI Infrastructure for Embedded Development

We are looking for a software engineer to build AI infrastructure that enables agentic workflows for DSP software development and legacy code maintenance.

The role focuses on developing code-aware AI systems that can reason about large embedded C/C++ codebases, particularly in DSP environments with custom instruction sets. You will design the infrastructure that allows AI agents to understand code structure, retrieve relevant context, analyze DSP kernels, and generate validated patches integrated into real development pipelines.

This is a unique opportunity to work at the intersection of agentic AI systems and real-world physical products, enabling AI-assisted development for complex embedded DSP software powering production hardware.

What will your job look like?

• Build AI-driven developer infrastructure to support DSP software development workflows

• Design code-aware retrieval systems combining structural program analysis with semantic search

• Implement DSP-aware indexing pipelines that detect vector operations, loop kernels, accumulator flows, memory access patterns, and custom instruction usage

• Design agent orchestration workflows for planning, code analysis, patch generation, and build/test validation loops

• Integrate the AI system with build systems, compilers, and simulators to validate generated changes

• Enable AI-assisted workflows for legacy code comprehension, dependency tracing, debugging, refactoring, and DSP kernel optimization

All you need is:

• B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering.

• Strong programming in Python and C/C++

• 2+ years of Experience building AI developer tools, RAG systems, or code intelligence infrastructure

• Familiarity with static analysis, compilers, or large codebase tooling

• Experience with embedded systems, DSP pipelines, or custom ISAs

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