Principal SoC Architect (Robotics and Automotive)

Location: Santa Clara, California, United States

Base salary: $272,000–$431,250 for Level 6 or $320,000–$488,750 for Level 7 per year, plus equity and benefits.

Company

hirify.global develops GPUs, computing platforms, and system architectures for artificial intelligence, robotics, autonomous machines, and software-defined vehicles.

What you will do

• Define and drive SoC hardware architecture from early concept through silicon bring-up and ecosystem enablement.
• Co-design hardware feature sets with software, deep learning, and safety teams for robotics spatial computing, sensor fusion, and autonomous driving.
• Model and optimize performance, power, and area for thermally constrained robotic enclosures and automotive ECUs.
• Author architecture specifications and develop models to validate architectural decisions.
• Define validation plans for real-time execution and safety metrics.
• Support silicon debugging, performance tuning, and user documentation for robotics and automotive customers.

Requirements

• 15+ years of deep architecture design experience in high-performance silicon.
• Industry experience in top-level SoC definition.
• Knowledge of PCIe, GMSL/camera interfaces, and Time-Sensitive Networking.
• Experience with multimedia and vision accelerator pipelines, CPU/GPU cache coherency, virtualization, and hardware security.
• Deep understanding of RTOS support, deterministic latency, and mixed-criticality workloads.
• Master’s or PhD degree in Computer Engineering, Electrical Engineering, or equivalent experience.

Nice to have

• Experience with functional safety and end-to-end safety-compliant solutions.
• Experience mapping Edge AI workloads such as transformer-based vision models, SLAM, or path planning onto custom hardware.
• Advanced programming skills in SystemC, C++, or Python for architectural simulation and modeling.

Culture & Benefits

• Equity and employee benefits are provided.
• Work involves cross-functional collaboration across hardware, software, deep learning, safety, and customer teams.
• The role supports products used in robotics, autonomous driving, and other advanced computing applications.