Sr AI Driver Architect (Neuromorphic Computing)

Location: Hybrid role based at Intel sites in Santa Clara, California, or Hillsboro, Oregon, United States

Annual salary: $201,580–$284,580 USD

Company

Intel's CTO Office is developing product-grade neuromorphic computing technology for future physical AI, edge, and robotic systems.

What you will do

• Define the technical vision, architecture, and roadmap for neuromorphic device drivers and firmware.
• Architect and implement command execution, memory mapping, data movement, interrupts, power management, reset, and recovery components.
• Partner with hardware architects on hardware/software interfaces and lead bring-up from pre-silicon modeling and emulation through post-silicon validation and tuning.
• Own production readiness across security, reliability, diagnosability, serviceability, validation, and field support.
• Collaborate with runtime, compiler, application, validation, customer, and external partner teams to translate workload requirements into software capabilities.
• Provide technical leadership, establish engineering practices, and mentor engineers.

Requirements

• BSc, MSc, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
• 5+ years of experience developing and shipping production device drivers, device firmware, or comparable low-level systems software for complex hardware.
• 5+ years leading driver or firmware architecture, hardware/software interface definition, and pre-silicon through post-silicon software bring-up.
• 5+ years designing production-ready systems covering security, reliability, recovery, tracing, telemetry, and diagnostics.
• 10+ years of hands-on production-grade systems software development in C/C++, plus Python for tooling, automation, and validation.
• 1+ year of hands-on experience using AI agents to design, implement, test, and review production code.

Nice to have

• Linux device drivers, embedded or real-time Linux, RTOS firmware, or formal driver qualification and certification.
• Accelerator runtimes and programming models such as oneAPI Level Zero, OpenVINO, CUDA, SYCL, or OpenCL.
• Platform security, secure boot, firmware signing and attestation, firmware update and recovery flows.
• Multi-chip accelerator systems, PCIe-attached and SoC-integrated platforms, or unconventional AI accelerators.
• Robotics software ecosystems such as ROS 2, hardware simulation, emulation, performance modeling, or open-source contributions.

Culture & Benefits

• Hybrid work model combining on-site and off-site work.
• Work within a vertically integrated research and product incubation effort.
• Health, retirement, and vacation benefits.
• Competitive pay and stock bonuses.
• Collaboration with hardware, software, research, validation, customer, and external partner teams.