PlusAI

Builds AI driving systems for commercial trucks

Senior Software Engineer - Embedded Software

Embedded EngineeringConfirmed live in the last 24 hours

Full-timeFremont, CA, USA$130k - $180k /yr

About the Job

Requirements

A Master's or PhD in Computer Science, Mechatronics, Electrical Engineering, or a related field is required.
Proficiency in C programming is required.
Candidates must be willing to travel and work in different environments, including on and around Class-8 commercial vehicles.
Proficiency in Linux and the Git development workflow is required.
Knowledge of real-time operating systems and embedded software best practices, with hands-on AUTOSAR experience, is required.
Familiarity with embedded software debugging tools such as Lauterbach and ISystem, and Vector tools such as CANalyzer and CANoe, is required.
A clear understanding of automotive communication protocols including CAN/CAN-FD, LIN, SPI, and Ethernet, and diagnostic protocols including UDS and J1939, is required.
Hands-on experience in DTC/UDS design and AUTOSAR DEM implementation for autonomous or ADAS systems, including Diagnostic Event Chain implementation, is required.
Understanding of different levels of software testing and experience building automation testing infrastructure is required.

Responsibilities

Integrate CAN DBCs from different vehicle platforms and sensors into the AUTOSAR communication stack.
Maintain and fine-tune autonomous safety features implemented within the AUTOSAR stack.
Design and implement the AUTOSAR UDS and DEM (Diagnostic Event Manager) stack.
Design and implement the autonomous software diagnostics stack and DTC codes, with event-chain-based reporting capability.
Troubleshoot vehicle- and system-related issues reported by external partners, internal testing and operations teams, or diagnostic tools on demand.
Support new vehicle platform integration and bring-up activities, including flashing and configuring sensors and ECUs, resolving vehicle integration issues, data collection, and parameter tuning.
Create and execute vehicle tests and testing plans or campaigns according to internal and customer requirements.
Execute development tests in coordination with test management and developers.
Travel up to 50% of the time to support on-vehicle testing of embedded systems and autonomous driving stacks.
Perform work in accordance with the company's Quality Management System requirements and contribute to continuous improvement efforts.
Ensure team compliance with the Quality Management System, monitor quality, and drive process improvements.

Desired Qualifications

Familiarity with Python and C++ programming is preferred.
Understanding of the autonomous driving software stack is preferred.
A basic understanding of sensor concepts, including camera, lidar, radar, GPS, and IMU, is preferred.
A basic understanding of hardware and electronics, and familiarity with vehicle harnesses, is preferred.
Experience with Infineon Aurix microcontrollers and automotive high-performance system-on-chip embedded systems is preferred.

Salary Range: 130000 to 180000 (Currency: USD) (Pay period: per-year-salary)

This role will be part of the runtime team which is responsible for the entire on-vehicle AD system integration, optimization, and core feature development. In this role, you will collaborate cross-functionally to define and implement sensor & vehicle interface CAN integration, diagnostics in AutoSAR safety domain, etc. You will also be responsible for the new vehicle platform and actuators integration, develop tools and procedures for new vehicle bring-up, and regular travel to our partner's proving ground to do on-vehicle testing and validation.

Responsibilities:

Integrate CAN DBCs from different vehicle platforms and sensors into AUTOSAR communication stack
Maintain and fine-tune autonomous safety features implemented within the AUTOSAR stack
Design and implement AUTOSAR UDS and DEM (Diagnostic Event Manager) stack
Design and Implement autonomous software diagnostics stack and DTC codes, with event-chain based reporting capability
Support on-demand troubleshoot of vehicle and system related issues reported by external partners, internal testing / operations team, or diagnostic tools.
Support new vehicle platform integration and bring-up activities, such as flashing and configuring of sensors and ECUs, resolving vehicle integration issues, data collection, parameter tuning, etc.
Create and execute vehicle tests and testing plans/campaigns per internal and customer requirements.
Execute development tests in coordination with test management and developers.
Travel up to 50% of the time to support on-vehicle testing of embedded systems and autonomous driving stacks.
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Ensure team compliance with QMS, monitor quality, and drive process improvements.

Required Skills:

Masters or Phd in Computer Science, Mechatronics, Electrical Engineering, or a related field.
Proficient in C Programming
Self-motivated and passionate about autonomous driving
Willingness to travel and work in different environments, including on and around Class-8 commercial vehicles
Proficient in Linux and GIT development workflow
Knowledge of real-time operating systems and embedded software best practices, with hands-on experience in AUTOSAR
Familiarity with embedded SW debugging tools (Lauterbach, ISystem, etc.), Vector tools (CANalyzer, CANoe, etc.)
Clear understanding of communication protocols in automotive like CAN/CAN-FD, LIN, SPI, Ethernet, and diagnostic protocols like UDS and J1939
Hands-on experience in DTC / UDS design and AutoSAR DEM (Diagnostic Event Manager) implementation for Autonomous / ADAS systems, including Diagnostic Event Chain implementation
Understanding of different Level of SW testing and experience in building automation testing infrastructure
Proven teamwork, communication, analytical, and systematic working skills

Preferred Skills:

Familiarity with Python and C++ programming
Understanding of autonomous driving software stack
Basic understanding of different sensor concepts (camera/lidar/radar/gps/imu)
Basic understanding of hardware / electronics, familiar with vehicle harnesses
Experience with Infineon Aurix MCU and automotive high-performance SOC embedded systems

About the Company

PlusAI

Builds AI driving systems for commercial trucks

PlusAI develops AI driving software for commercial trucks, working with vehicle manufacturers and logistics partners to automate freight transport. Its SuperDrive system combines sensors, onboard computing, and AI models to understand roads, plan maneuvers, and control a truck within defined operating conditions. Truck manufacturers integrate the software into their vehicles, and PlusAI engineers develop and validate the virtual driver for use on freight routes. It also sells autonomous-driving data and development tools through HyperFoundry, and plans to charge for SuperDrive according to truck usage. PlusAI was founded in 2016 and is headquartered in Santa Clara, California.

Company size: 201-500
Company stage: IPO
Headquarters: Santa Clara, CA
Founded: 2016

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