Principal Systems Architect

Principal System Architect

In the Arm Central Technology Systems group, we define SoC and system architectures and technology roadmaps across multiple sectors, including mobile, infrastructure, automotive, robotics, and IoT.

We are looking for a systems and machine learning architect to join and further strengthen our Physical AI (automotive and robotics) systems team.

We work in small, highly technical teams, so your contributions will make a difference. Our team is diverse and distributed across the UK and US, though we prefer to fill this position in our Austin TX location.

Synthesize diverse sets of requirements to dimension optimized system solutions, based on representative inference models and/or software workloads. Based on understanding of multi-modal sensor systems to actuator interfaces, you will focus on the compute requirements (especially performance and power) for these systems.

Develop and augment model zoos for automotive autonomy and robotics applications. Develop performance and power analysis reports, based on measurements on existing systems to our most advanced, emerging technology.

Collaborate with other SoC architects, system architects, system designers, IP teams and analysis teams.

Engage with specialists across Arm, from AI/ML modeling, hardware modeling, simulation and emulation, and software.

Explore and innovate architectural techniques to optimize SoC features including selecting, optimizing, profiling algorithms, and selecting, optimizing neural networks.

At least two years of automotive autonomy or robotics system architecture and/or AI/ML development experience. At least five years of relevant software industry experience.

Experience with design and architecture of classical and AI/ML/RL algorithms and networks on contemporary high-performance systems.

Excellent written and verbal communication skills.

Understanding of GPU, NPU functional architectures and how they affect the performance and power aspects of the SoC.

Understanding of computer architecture and concepts such as cache hierarchy, memory access efficiency, parallel architectures.

Capable of working both in teams and independently.

High degree of initiative and a confident problem solver.

Bachelor’s degree (or equivalent experience) in electrical engineering, computer science, mathematics, robotics, data analytics or a related field. Master’s degree preferred.

Experience with:

• Classical MLPs, CNNs and modern DNN, transformer architectures for high performance automotive and robotics perception.
• Sensor preprocessing including GPGPU and/or other hardware accelerator approaches for high performance automotive and robotics sensor perception.
• GPU, NPU architecture performance and power analysis for high performance automotive or robotics SoCs.
• Functional safety, ISO
  26262, and developing systems for safety applications.
• High performance hardware architecture challenges and solutions (e.g., clocking, reset, interconnects, power and thermal).

$241,100-$326,100 per year

We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.

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Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Arm is an equal opportunity…