AI Software Development Engineer - Neuromorphic Computing (m/f/d) (Fixed-Term)
- Compensation
- Not disclosed
- Location
- Germany, Munich
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor's degree with 5+ years of experience, Master's degree with 3+ years of experience, or PhD in: Computer ScienceComputer EngineeringElectrical EngineeringApplied MathematicsPhysicsOr a related
- Strong professional experience developing software in C++ and Python.
- Hands-on experience with LLVM and/or MLIR compiler frameworks.
- Solid understanding of modern software engineering practices, including: Git version controlCode reviewsTesting and debuggingCI/CD workflows
- Experience working with AI frameworks such as PyTorch, TensorFlow, or JAX.
- Strong English communication skills.
Nice to have
- Modern AI compiler frameworks and deployment tools such as: TritonIREETVMONNXOpenVINO
- AI accelerators, neuromorphic hardware, or heterogeneous computing systems.
- Parallel programming and performance optimization (CUDA, OpenCL, multithreading).
- AI model development across areas such as: Computer VisionNLPLarge Language Models (LLMs)Vision Language Models (VLMs)Signal Processing
- Optimization algorithms including: Integer Linear Programming (ILP)SAT/SMT SolversGraph Partitioning
- Performance analysis and profiling tools such as Intel VTune, Nsight, cProfile, or VizTracer.
- Ability to thrive in a fast-moving environment where priorities evolve as products mature.
Full description
Job Details:
Job Description:
If you're excited by the idea of building technologies that go beyond today's AI accelerators and helping define the future of computing, we'd love to hear from you.
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We are looking for a Compiler Engineer to join the team developing Intel's next-generation neuromorphic AI software platform.
You'll play a key role in creating a production-grade SDK that powers edge and robotics applications on novel AI hardware. Working across the software stack, you'll collaborate closely with compiler, hardware, runtime, systems, and application engineers to build highly optimized tools that unlock the full potential of Intel's neuromorphic technology.
This is an opportunity to solve fundamentally new computing challenges while helping bring breakthrough AI technology from research into real-world deployment.
What You'll Do
- Design and develop next-generation compiler technologies for autonomous and event-driven AI workloads.
- Solve complex compilation challenges for massively parallel spatial architectures, including: Graph partitioningPlacement and routingSchedulingAutomatic kernel selectionDistributed memory allocation
- Build and enhance compiler infrastructure using LLVM and MLIR frameworks.
- Develop domain-specific languages and high-performance kernels to maximize application efficiency.
- Prototype and demonstrate emerging AI workloads on neuromorphic accelerators.
- Partner with cross-functional teams across hardware, runtime, systems, and AI applications.
- Drive software quality through code reviews, automated testing, benchmarking, and documentation.
- Contribute to the evolution of modern AI software engineering practices and tools.
Qualifications:
Minimum Qualifications:
- Bachelor's degree with 5+ years of experience, Master's degree with 3+ years of experience, or PhD in: Computer ScienceComputer EngineeringElectrical EngineeringApplied MathematicsPhysicsOr a related discipline
- Strong professional experience developing software in C++ and Python.
- Hands-on experience with LLVM and/or MLIR compiler frameworks.
- Solid understanding of modern software engineering practices, including: Git version controlCode reviewsTesting and debuggingCI/CD workflows
- Experience working with AI frameworks such as PyTorch, TensorFlow, or JAX.
- Strong English communication skills.
Preferred Qualifications:
Experience with one or more of the following:
- Modern AI compiler frameworks and deployment tools such as: TritonIREETVMONNXOpenVINO