Work In Tech

Key Responsibilities:

• System Integration & Platform Bring-Up
• Lead system-level integration efforts across compute, power, control, and sensing subsystems
• Bring-up and debug robotic platforms in-vehicle and in lab environments (HiL, bench rigs)
• Validate and support integration of real-time software (middleware, perception, planning) with embedded and hardware interfaces

Vehicle Interface & Diagnostics -

• Define and validate integration of drive-by-wire, braking, steering, and vehicle state interfaces
• Work with CAN/LIN/Ethernet networks to ensure message timing, arbitration, and failover paths
• Use vehicle diagnostic tools (CANalyzer, Vector tools, J1939 stack, DBC parsing) to support integration and fault tracing

Sensor & Compute Integration-

• Oversee mechanical, electrical, and timing integration of LiDAR, RADAR, GPS/IMU, and camera systems
• Collaborate with hardware and perception teams to validate sensor data fidelity and timing alignment
• Manage thermal, EMI, and power constraints across compute platforms (e.g., NVIDIA Orin, PX2, FPGA)

Test & Validation -

• Create and execute test plans for system validation, including regression, fault injection, and failure recovery
• Define KPIs and integration test coverage for subsystem readiness and milestone gates
• Support prototype builds and test events with hands-on debugging, root cause analysis, and reflash/upgrade of software stacks

Cross-Functional Collaboration -

• Serve as the technical liaison between hardware, controls, embedded software, and autonomy software teams
• Track and resolve integration blockers in Jira, Confluence, and collaborative tools
• Provide input to system architecture, safety requirements, and verification plans (ASIL, ISO 26262, SOTIF)

Basic Qualifications:

• Bachelor’s degree in Electrical Engineering, Mechatronics, Computer Engineering, or related field
• 2–5 years experience in system-level integration or testing of robotics, autonomous systems, or automotive electronics
• Proficient in using CAN tools (Vector CANalyzer/CANoe, Kvaser) and debugging vehicle networks
• Hands-on experience with multimeter, oscilloscope, and sensor calibration techniques
• Understanding of embedded systems, firmware bring-up, or real-time computing platforms

Preferred Qualifications:

• Familiarity with ROS, DDS, or custom real-time middleware frameworks
• Experience with HiL rigs and test automation frameworks (e.g., NI VeriStand, dSPACE)
• Exposure to functional safety standards (ISO 26262, SAE J3016) or safety-critical integration
• Python, Bash, or shell scripting experience for system diagnostics and test orchestration
• Experience with prototype vehicle instrumentation and test support