Aurora
Senior Staff System Architect
$197K–$285K
Mountain View, CA · Remote · Senior Staff · Full-time · Posted Aug 20, 2026
- Experience
- 12+ years; proven ability to lead cross-functional technical initiatives and resolve integration challenges.
- Education
- Bachelor's or master's degree with a focus in electrical or computer engineering.
About the job
Defines and leads system architecture for complex integrated hardware/software products, from requirements and technology selection through design, validation, and manufacturing readiness.
What you'll do
- Translate product and market requirements into system specifications, functional decomposition, and architecture artifacts; assess system trade-offs and risks.
- Select core system technologies and establish interface and interoperability standards; lead architecture reviews and support engineering teams through validation and manufacturing readiness.
- Lead hardware/software co-design and mentor engineering staff in system architecture and technical decision-making.
What they ask for
- Bachelor's or master's degree focused in electrical or computer engineering.
- Expertise in system architecture, signal and power integrity, and high-speed signaling.
- Experience leading hardware/software co-design and expertise in multiple relevant domains, including compute architecture, networking, power and thermal management, or system security.
- Familiarity with industry standards such as PCIe, Ethernet, GMSL, NVMe, CAN, I²C, and SPI; experience producing architecture documentation and requirements matrices.
Nice to have
- Experience with driverless automotive systems, Lidar system architecture, and/or network design; knowledge of automotive requirements, ISO26262 safety frameworks, and qualification processes.
- Understanding of AI/ML accelerators and energy-efficient compute design; FPGA/ASIC design experience.
Pay
USD 197,000 - USD 285,000 per year base salary
Tools
PCIe, Ethernet, GMSL, NVMe, CAN, I²C, SPI, FPGA/ASIC
AI focus
Preferred work includes understanding AI/ML accelerators and energy-efficient compute design.
Model-written summary · the original posting is authoritative