Senior AI Software Architect - Runtime

Intel Corporation
Hillsboro, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 195K

Job location

Hillsboro, United States of America

Tech stack

Artificial Intelligence
C++
Profiling
Software Quality
Nvidia CUDA
Computer Engineering
Continuous Integration
ETL
Software Debugging
Linux
Memory Management
Firmware
Python
Software Architecture
Regression Testing
TensorFlow
Robotic Automation Software
Software Engineering
Software Systems
Real Time Systems
PyTorch
Deep Learning
Parallel Computation
Information Technology
ONNX (Open Neural Network Exchange) Format
Free and Open-Source Software
Hardware Acceleration

Job description

Join the team building Intel's product-grade neuromorphic AI execution stack targeting edge and robotic systems. In this role, you will architect and lead the development of the firmware, runtime, and performance infrastructure, working closely with hardware, compiler, systems, and application teams to deliver a robust, observable, and high-performance software stack. You will set technical direction for a critical part of the platform while remaining hands-on in architecture and implementation., * Define and drive the technical vision, architecture, and roadmap for Intel's neuromorphic runtime software stack, while contributing hands-on to critical design and implementation.

  • Architect, develop, and optimize firmware and runtime components, including execution control, scheduling, data movement, memory management, and device interfaces.
  • Architect and deliver performance infrastructure, including profiling, tracing, debugging, benchmarking, and regression frameworks needed for optimization and product release.
  • Integrate the runtime stack into existing robotics and edge software ecosystems, to enable efficient deployment and developer adoption.
  • Collaborate with hardware, compiler, systems, application, and solution teams, as well as customers and external partners, to translate platform and workload requirements into robust software capabilities.
  • Provide technical leadership across the runtime area by establishing engineering practices, driving software quality and release discipline, mentoring engineers, and helping scale the team over time.

About the Organization:

As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market. Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products., The mission of the Corporate Technology Office (CTO) is to incubate and develop strategically important emerging technologies that will serve as building blocks for computing systems and platforms of the future. This is done in collaboration with the business units of Intel, with the goal of transferring these technologies to the business units for productization and revenue generation., 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.

Requirements

  • BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related technical field.
  • 5+ years of experience developing firmware, runtime, performance, or other low-level systems software for AI or accelerators, including execution environments, profiling, debugging, and related infrastructure, with experience in technologies such as CUDA, LLVM, oneAPI, SYCL, ONNX, IREE, OpenVINO, TVM.
  • 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding implementation.
  • 8+ years of experience developing maintainable, production-grade software in C/C++ and Python, including systems-level and performance-critical code, using disciplined engineering practices such as benchmarking, correctness and performance regression testing, build/toolchain management, and CI/CD.
  • 5+ years of experience with AI, deep learning, or optimization workloads using frameworks such as PyTorch, JAX, or TensorFlow., * Experience managing and mentoring engineers, and leading delivery across cross-functional teams spanning hardware, systems software, compiler, and applications.
  • Experience with robotics, edge, or real-time systems, including software ecosystems such as ROS2.
  • Experience in HW/SW co-design, hardware simulator development, or software bring-up for emerging accelerator architectures.
  • Experience with parallel computing paradigms or spatial / unconventional AI hardware accelerators.
  • Experience with embedded or real-time Linux, device-driver / platform bring-up, or other low-level deployment software for edge systems.
  • Prior contributions to open-source software projects.

Benefits & conditions

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel (https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003) .

Annual Salary Range for jobs which could be performed in the US: $195,200.00-361,200.00 USD

About the company

For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach. Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems-beyond the reach of GPUs and mainstream AI accelerators. If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.

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