L4 Autonomous Trucking System Architect

Reposted 16 Days Ago
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Santa Clara, CA
In-Office
Senior level
Logistics
The Role
Lead the design and integration of L4 autonomous driving systems, focusing on architecture, requirements, safety compliance, and cross-domain coordination.
Summary Generated by Built In

Inceptio Technology is a global self-driving truck company based in Silicon Valley, California, and is currently one of the biggest companies working on autonomous driving technology. Our vision is to build the most trustworthy autonomous freight service network. We form close relationships with freight, logistics and automotive partners to transform the line-haul transportation industry. Our goal is to provide safe and efficient logistical assets at an optimized cost.

Location: Shanghai, China or Silicon Valley, USA

Key Responsibilities
  • System-Level Design
    • Lead the design of end-to-end L4 autonomous driving system architecture, including sensor suites, compute platforms, and software stack.
    • Define the overall system topology, interfaces, and modular design principles to ensure maintainability, scalability, and real-time performance.
  • Requirements Engineering
    • Define and manage system-level and subsystem-level requirements based on functional goals, safety constraints, and regulatory needs.
    • Ensure traceability from high-level product features to low-level implementation.
  • Cross-Domain Coordination
    • Collaborate with perception, localization, planning, control, compute, safety, and hardware teams to ensure cohesive and aligned system design.
    • Serve as a key technical liaison across engineering, safety, and validation teams.
  • Safety & Standards Compliance
    • Work with functional safety experts to align the system with ISO 26262, SAE J3016 (Level 4), SOTIF, and relevant cybersecurity standards.
    • Contribute to system hazard analysis, safety goals definition, and safety concept design.
  • System Integration Strategy
    • Support design of integration workflows for software-in-the-loop (SiL), hardware-in-the-loop (HiL), and vehicle-level testing.
    • Drive the integration of vehicle actuation interfaces, redundant system paths, and fallback strategies.
  • Documentation & Review
    • Develop and maintain system architecture diagrams, design documentation, interface definitions, and requirement specifications.
    • Participate in design reviews, FMEAs, and verification planning.
Qualifications
  • S. or Ph.D. in Computer Engineering, Electrical Engineering, Robotics, or a related field.
  • 5+ years of experience in autonomous vehicle system design, robotics, or safety-critical system engineering.
  • Deep understanding of system integration, real-time embedded software, and distributed system design.
  • Hands-on knowledge of vehicle networks (CAN, Ethernet, FlexRay), and sensor interfaces (LiDAR, radar, cameras, GNSS/RTK).
  • Familiarity with safety and cybersecurity standards: ISO 26262, ISO/PAS 21448 (SOTIF), ISO 21434.
  • Excellent communication and cross-team collaboration skills.
Preferred Qualifications
  • Experience with commercial L4 trucking systems or pilot deployments.
  • Exposure to compute platforms such as NVIDIA Orin.
  • Experience with redundancy management, fail-operational system design, and over-the-air update architecture.

Company Benefits

  • Competitive salary and benefits
  • PTO/Paid Holidays/Paid Sick Leave
  • 100% Company paid Medical, Vision, and Dental insurance plan
  • Company 401(K) matching program: 3%
  • Company paid life /AD&D insurance
  • Cell phone subsidy
  • Company provided Lunch & Dinner Monday - Friday
  • Visa sponsorship is available for this position.
  • Opportunity for professional growth and career advancement

Top Skills

Cameras
Can
Ethernet
Flexray
Gnss/Rtk
Iso 26262
Lidar
Nvidia Orin
Radar
Sae J3016
Sotif
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The Company
HQ: Fremont, CA
157 Employees
Year Founded: 2018

What We Do

We focus on the transformation of line-haul logistics by providing a more secure, efficient, and economical Transportation-As-A-Service (TaaS) via “Autonomous Driving + Green Energy+ Assets Operation” model to logistic customers.

This is to be achieved with our automotive grade L3/L4 autonomous driving software/hardware, developed in collaboration with major automotive manufacturers, fully integrated with mass-produced heavy-duty freight trucks.
With our advanced technology and seasoned operation team, we envision to develop the most trustworthy autonomous freight service network.

We make logistics graceful.

We’re always looking for self-motivated and creative talents to join our team. Visit our career site at https://en.inceptio.ai/siliconvalley

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