Principal Engineer Firmware - San Jose

Originally posted 4 May 2026 by the employer.

Integrate Infineon smart actuators and sensors into customer platforms using embedded Linux, ROS2, and edge AI compute stacks.

About the role

As a Principal Engineer Firmware in the Research & Development team, you will provide integration, bring-up, and performance tuning for customer and partner platforms. The role focuses on integrating Infineon smart actuators and sensors, edge AI compute stacks, and connectivity interfaces.

What you'll do

- Provide on-site and remote support for integration and bring-up at customer and partner locations, performing hands-on debug, measurement, and structured issue reproduction. - Tune end-to-end performance against targets such as latency, throughput, jitter, and deterministic behavior. - Work with sensor, actuator, and bridge connectivity patterns, including Ethernet and industrial interfaces, to close gaps between datasheets, reference designs, and customer systems. - Study hardware and software protocol documentation to produce implementation proposals, risk notes, and migration paths. - Integrate smart actuators and sensors into customer reference platforms and partner with edge AI compute teams to align data paths, drivers, and APIs. - Develop or adapt Python and C++ utilities for bring-up, data capture, regression checks, and customer demonstrations.

What you'll need

- Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, Mathematics, Applied Mathematics, or a comparable field with a strong software focus. - 5 to 8 years of professional experience in software, robotics, simulation, embedded systems, applications engineering, or system integration (or 3 years with a Master’s, or about 2 years with a PhD). - Solid Python and C++ development skills for bring-up tools, integration code, or performance-sensitive components. - Hands-on experience with embedded Linux or comparable edge environments, drivers, protocols, and basic hardware debug using scopes or logic analyzers. - Familiarity with real-time and performance-aware design, including latency, timing, bandwidth, and system-level trade-offs. - Understanding of sensors and actuators in motion and robotics contexts, along with familiarity with motor control and power concepts at the system level. - Exposure to robotics middleware such as ROS2 or industrial field buses.

Nice to have

- Hands-on use of SysML, MBSE repositories, or architecture modeling tools in hardware–software or systems programs. - Familiarity with robotics simulation tools such as Isaac Sim, Isaac Lab, or Omniverse alongside hardware bring-up. - Background in functional safety, EMC, or thermal constraints affecting edge deployments. - Prior semiconductor or tier-one automotive/industrial applications exposure.

Skills: embedded Linux, drivers, protocols, hardware debug, real-time, sensors