AI Software Development Engineer - Neuromorphic Computing

Intel
Santa Clara
Workplace: HybridFull timeUSD 170,500 - 240,710 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Collaboration","Documentation"]

Develop high-performance AI software that brings neuromorphic hardware breakthroughs to real applications. Build specialized kernels for Loihi-based systems, optimize convolutional, transformer, and generative AI workloads, and create reference models, validation tools, and benchmarks to guide hardware-software co-design. Partner with hardware, compiler, runtime, and application teams to deliver maintainable code, testing, and performance-regression infrastructure across the full lifecycle.

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FursaFursa
Intel
Intel
1 day ago

AI Software Development Engineer - Neuromorphic Computing

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Last checked: 4 hours agoStatus: Live

Job Summary

Develop high-performance AI software that brings neuromorphic hardware breakthroughs to real applications. Build specialized kernels for Loihi-based systems, optimize convolutional, transformer, and generative AI workloads, and create reference models, validation tools, and benchmarks to guide hardware-software co-design. Partner with hardware, compiler, runtime, and application teams to deliver maintainable code, testing, and performance-regression infrastructure across the full lifecycle.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement specialized AI kernels for neuromorphic hardware using custom DSLs and accelerator programming models such as CUDA and SYCL.
  • •Develop and optimize operations for convolutional networks, transformers, and generative AI workloads using techniques including tiling, fusion, vectorization, parallelization, buffering, sparsity, and quantization.
  • •Create performance methodologies and improve kernel behavior across compute utilization, latency, throughput, memory bandwidth, data movement, synchronization, and scaling.
  • •Build reference models, numerical validation tools, and benchmarks, along with performance/power/area models for hardware-software co-design and validation across models and hardware.
  • •Collaborate with hardware, compiler, runtime, and application engineers to deliver maintainable code, tests, documentation, benchmarks, and performance-regression infrastructure.

Pay and Benefits

Salary: USD 170,500 - 240,710 annually
Equity and Bonus:Equity
Perks:Health InsuranceRetirementPaid Leave

Key Requirements

  • •A PhD, or a master's with 2+ years, or a bachelor's with 4+ years in Computer Science, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or a related technical field.
  • •4+ years developing, debugging, and delivering maintainable software in Python and either C or C++, including performance-critical or systems-level code.
  • •2+ years implementing and optimizing numerical, ML, or HPC kernels using parallel programming and an accelerator programming model such as CUDA, SYCL, or OpenCL, or a DSL such as Triton.
  • •2+ years developing, training, or evaluating AI algorithms and machine-learning models using PyTorch, JAX, or TensorFlow.
  • •2+ years establishing numerical correctness and measuring performance using reference implementations, automated testing, benchmarking, profiling, or performance-regression infrastructure.
Experience:2+ yearsAIMachine learningHigh-performance computingNeuromorphic computingComputer science
Education:Bachelor's in Computer Science, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics (or a related technical field)
Skills:CollaborationDocumentation
Tech Stack:PythonCC++CUDASYCLOpenCLTritonPyTorchJAXTensorFlowMLIRLLVMTVMCUDA DSLCustom DSLs

Company Brief

Intel
Designs and manufactures semiconductor chips, processors, and related hardware for PCs, data centers, networking, and embedded applications, while providing software and services to accelerate computing across industries globally.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1968
Glassdoor
Glassdoor: 3.8
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