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Senior AI Runtime Architect – Neuromorphic Computing
Intel Corporation. Define and drive the technical vision, architecture, and roadmap for the neuromorphic runtime stack from firmware to framework integration .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and architecting AI runtime software, with a strong focus on performance, production quality, and integration with industry-standard frameworks. Proven ability to lead engineering teams, mentor engineers, and establish disciplined engineering practices.
Highest-signal resume keywords
AI Runtime Software DevelopmentC/C++ ProgrammingPerformance Profiling and BenchmarkingTechnical Leadership and MentoringOpenVINO or oneAPI Level Zero Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Runtime Software DevelopmentC/C++ ProgrammingPython ProficiencyPerformance ProfilingBenchmarkingDebuggingFirmware DevelopmentAgentic Software EngineeringHW/SW Co-DesignPerformance Modeling
Soft Skills
Technical LeadershipMentoringCollaboration
Tools & Technologies
OpenVINOOneAPI Level ZeroROS 2HoloscanCI/CD
Industry Keywords
Neuromorphic Runtime StackReal-Time SystemsEmbedded LinuxRTOSAccelerator Software Stacks
Tech Stack
Tools & technologiesLinuxPythonRTOSC++
About the role
Key responsibilities & impact- Define and drive the technical vision, architecture, and roadmap for the neuromorphic runtime stack from firmware to framework integration
- Contribute hands-on to critical runtime stack design and implementation
- Architect and develop runtime and performance tooling
- Define execution behavior for firmware and drivers in host-attached and standalone device configurations
- Own contracts between the runtime stack and compiler
- Integrate the runtime with industry-standard AI and robotics frameworks
- Own measurable performance, real-time behavior, and production quality across silicon and simulators
- Collaborate with compiler, hardware, application, customer, and partner teams to translate workload requirements into runtime capabilities
- Feed performance insights back into compiler and hardware design
- Establish engineering practices and mentor engineers
- Lead the team and technical direction for the next-generation runtime stack
Requirements
What you’ll need- BSc, MSc, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
- 5+ years of experience developing and shipping AI runtime software for accelerators, GPUs, or other complex hardware, with working knowledge of underlying drivers and firmware
- 5+ years of experience leading the architecture of complex software systems and defining technical direction and interfaces to adjacent components
- 5+ years of experience owning the performance and production quality of accelerator software, including profiling, benchmarking, and debugging across hardware and software boundaries
- 5+ years of experience providing technical leadership to engineering teams, including mentoring engineers and leading cross-functional delivery
- 10+ years of hands-on experience developing production-grade systems software in C/C++, with proficiency in Python
- Experience with disciplined engineering practices such as code reviews, automated testing, and CI/CD
- 1+ years of hands-on experience with agentic software engineering, routinely using AI agents to design, implement, test, and review production code
- Experience managing engineering teams, including hiring and developing engineers
- Experience with OpenVINO, oneAPI Level Zero, or comparable accelerator software stacks
- Experience with spatial, dataflow, or statically scheduled accelerators
- Experience with robotics or real-time systems, including deterministic execution and ROS 2 or Holoscan
- Experience developing or integrating functional or performance simulators into accelerator software stacks
- Familiarity with device driver and firmware development for embedded Linux or RTOS-based systems
- Experience with HW/SW co-design or performance modeling
Benefits
Comp & perks- Competitive pay
- Stock bonuses
- Health benefits
- Retirement benefits
- Vacation benefits
- Hybrid work model allowing employees to split time between working on-site and off-site