AI Software Development Engineer - Neuromorphic Computing (m/f/d) (Fixed-Term)
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
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
You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide?
im Team You will support the ECHT team in its mission of transforming traditional materials research into a fully digitalised, data-driven p
Über das UnternehmenWenn du schon mal eine CAD-Zeichnung gesehen hast und dachtest: „Da steckt doch mehr drin als nur Linien und Maße“, dann
Verantwortet das Produkt-Backlog einer Eyewear-Plattform, trifft technische Entscheidungen mit dem Team und bringt GenAI-/LLM-Features in die Produkte.
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Leitet KI-Projekte vom Konzept bis zum Betrieb beim Kunden, entwickelt Kundenbeziehungen und integriert Voice Agents und Automatisierungen in Unternehmensprozesse.
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: 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. 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.
- 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 - 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. Why Join Us? As part of Intel s CTO organization, you ll be joining a highly collaborative team that has pioneered multiple generations of neuromorphic computing technology and is now focused on bringing these innovations to market.You ll have the opportunity to: ✅ Work on breakthrough AI hardware and software technologies ✅ Influence compiler architecture from the ground up ✅ Collaborate with world-class researchers and engineers ✅ Solve challenges that don t exist in conventional computing environments ✅ Help define the future of edge AI, robotics, and autonomous systems Ready to build the next generation of AI computing? Join Intel s neuromorphic computing team and help transform decades of research into the technologies that will power tomorrow s intelligent systems. Please note this is a temporary position from 12 up to 24 months. Job Type: Intel Contract Employee Shift: Shift 1 (Germany) Primary Location: Germany, Munich Additional Locations: Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A EU Salary We offer a total compensation package that ranks among the best in the industry. Annual Salary Range for this job which could be performed in Germany is: 79 130,00 € - €145,000.00 The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery. Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.
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