Senior AI Software Engineer – Neuromorphic Computing
Hillsboro, Texas, United States of America
Full Time
1 week ago
$149,750 - $275,580 USD
Visa Sponsor
Key skills
PythonPyTorchTensorflowC++CAIDeep LearningAgenticTensorFlowJAXCI/CD
About this role
Role Overview
- Design, implement and optimize Intel's neuromorphic AI compiler and runtime environment.
- Contribute to tools and infrastructure that enable performance analysis, verification, debugging, and optimization across the software stack.
- Integrate software stack into external ecosystems, particularly robotics and edge AI frameworks.
- Collaborate with internal compiler, hardware, systems teams and external customers to improve software quality, performance, and usability across the stack.
Requirements
- Bachelor’s degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in a STEM related field.
- 3+ years of experience developing AI compiler, runtime, performance, or systems software, including execution environments, profiling, or debugging infrastructure in frameworks like ONNX, IREE, OpenVINO, TVM, MLIR, XLA.
- 3+ years of experience architecting and implementing production-grade software systems for maintainability, using standard engineering practices (e.g. profiling, benchmarking, correctness/performance regression testing, build/toolchain discipline, or CI/CD).
- 3+ years of experience with production software development in Python and C/C++, including systems-level and performance-critical code.
- 3+ years of experience with AI, deep learning, or optimization algorithms using frameworks such as PyTorch, JAX, or TensorFlow.
- Post graduate degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in a STEM related field is preferred.
- Strong expertise in robotics or real-time systems including frameworks such as ROS2 is preferred.
- Experience in low-level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL) is preferred.
- Experience in HW/SW co-design and hardware simulator development is preferred.
- Experience with effective agentic AI software engineering practices is preferred.
- Experience with parallel computing paradigms or spatial AI hardware accelerators is preferred.
- Expertise developing software architectures and managing software projects is preferred.
- Experience working effectively in cross functional teams spanning hardware, systems software, and applications is preferred.
- Prior contributions to open-source projects is preferred.
Tech Stack
- Python
- PyTorch
- Tensorflow
Benefits
- Competitive pay
- Stock bonuses
- Health
- Retirement
- Vacation