About Lyte
Lyte builds perception systems for Physical AI operating in complex environments. The company combines custom silicon, integrated sensors, and software into a unified platform for robotics, mobility, and next-generation automation. Lyte is headquartered in Sunnyvale, California, with a global presence. For more information, visit www.lyte.ai
If you’re excited about building impactful technology in a dynamic, hands-on environment, we’d love to hear from you!
About the role
- We are seeking a Senior System On Chip (SoC) architect to join our team and contribute to the
development and delivery of state-of-the-art SoC projects. The successful candidate will have
hands-on experience defining and developing complex SoC architectures for embedded products.
You will work closely with the systems, software and design teams to understand the SoC
system requirements, performance and design an optimized solution for them. You will support
the design and verification teams from implementation phase through verification and later
system validation phases.
What you'll do
- Study the system requirements for Lyte’s custom SoC and how it behaves in the system
- Define, review and document the SoC requirements to meet the system requirements
- Research available IP and technology that is available from vendors and partners and
how they fit - Define, document, and maintain the requirements for the project and any custom logic
required in it - Participate in design reviews and approve the implementation
- Participate in test plan reviews and define required coverage and performance
- Define silicon bring up flows and test plan
- Participate in silicon and system bring up and debug
Required Qualifications
- Bachelor’s degree in Electrical Engineering, Computer Science, or a closely related field
- Minimum of 10 years of experience in silicon design, verification or similar roles
- Minimum of 5 years of experience in silicon architecture roles
- Experience with the definition and design of embedded SoC chips
- Strong analytical, debugging, and problem-solving capabilities
- Excellent written and verbal communication skills
- A collaborative team-oriented mindset with the ability to work effectively across
multidisciplinary engineering teams
Preferred Qualifications
- MSc or PhD in Electrical Engineering, Computer Science, or a closely related field
- Experience with Arm embedded cores and SoC components
- Experience with SoC Network on Chip (Noc) and coherent fabric design
- Experience with embedded SoC products such as automotive systems, IoT, robotics, and
sensor platforms - Experience developing computer vision and machine learning systems
Benefits (subject to location and local regulations)
- Competitive salary and equity
- Comprehensive medical, dental, and vision coverage
- 401(k) retirement plan
- Flexible vacation and time-off policy
- Collaborative, fast-paced, and inclusive work environment
- Opportunity to work on cutting-edge technologies with a highly cross-functional team
Skills Required
- Bachelor's degree in Electrical Engineering, Computer Science, or a closely related field
- At least 10 years of experience in silicon design, verification, or similar roles
- At least 5 years of experience in silicon architecture roles
- Experience defining and designing embedded SoC chips
- Strong analytical, debugging, and problem-solving capabilities
- Excellent written and verbal communication skills
- Ability to collaborate effectively across multidisciplinary engineering teams
- MSc or PhD in Electrical Engineering, Computer Science, or a closely related field
- Experience with Arm embedded cores and SoC components
- Experience with SoC Network-on-Chip and coherent fabric design
- Experience with embedded SoC products such as automotive systems, IoT, robotics, and sensor platforms
- Experience developing computer vision and machine learning systems
What We Do
Lyte develops perception technology for robots and physical AI systems. Its LyteVision platform combines 4D sensing, RGB imaging, motion awareness, custom silicon, compute, and AI to provide unified spatial and visual data through a modular, plug-and-play system. The company serves robotics developers building autonomous systems for applications including industrial automation and last-mile delivery, helping machines perceive, understand, and operate safely in complex real-world environments.
