The Role
Integrate and optimize embedded autonomous-driving software across vehicle platforms, including AUTOSAR communication, diagnostics, CAN interfaces, sensors, ECUs, and actuators. Develop vehicle bring-up tools, testing plans, diagnostics, and automated testing infrastructure; troubleshoot integration issues and perform on-vehicle validation. Collaborate across engineering, testing, operations, and external partners while maintaining quality-system compliance. Travel up to 50% to proving grounds for vehicle testing.
Summary Generated by Built In
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
Skills Required
- Master’s or PhD in Computer Science, Mechatronics, Electrical Engineering, or a related field
- Proficiency in C programming
- Proficiency in Linux and Git development workflows
- Knowledge of real-time operating systems and embedded software best practices
- Hands-on AUTOSAR experience
- Familiarity with embedded software debugging tools such as Lauterbach or iSystem
- Familiarity with Vector tools such as CANalyzer and CANoe
- Understanding of CAN, CAN-FD, LIN, SPI, Ethernet, UDS, and J1939 protocols
- Hands-on experience designing DTC and UDS systems and implementing AUTOSAR DEM for autonomous or ADAS systems
- Experience building software testing and automation infrastructure
- Willingness to travel and work around Class-8 commercial vehicles
- Python and C++ programming familiarity
- Understanding of autonomous-driving software stacks
- Basic understanding of camera, lidar, radar, GPS, and IMU sensors
- Basic hardware and electronics knowledge, including vehicle harnesses
- Experience with Infineon AURIX MCUs and automotive high-performance SoCs
Plus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plus and has not been reviewed or approved by Plus.
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Leave & Time Off Breadth — Unlimited PTO in addition to company holidays and flexible work arrangements are offered, indicating broad time-off flexibility. This setup signals strong support for taking time away from work.
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Healthcare Strength — Tiered medical, dental, and vision options allow employees to select coverage that fits their needs. This breadth of core health coverage aligns with a comprehensive benefits approach.
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Wellbeing & Lifestyle Benefits — Daily catered lunches at key offices and company-sponsored professional development add meaningful day-to-day and growth-oriented perks. These offerings enhance overall wellbeing and workplace experience.
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The Company
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai
