Architects next-generation on-vehicle and cloud compute platforms for autonomous vehicles, balancing off-the-shelf and custom silicon. Leads cross-functional teams, defines technical roadmaps, and ensures hardware optimizes AI/ML workloads. Requires 15+ years in electrical engineering and system architecture.
287k – 410k/yr
Hybrid15+ YOEHardware Engineering
About the role
Responsibilities
Provide engineering leadership for high-performance Compute modules
Architect next generation compute systems and define the technical roadmap at system and silicon level
Work extensively with cross-functional teams (software, mechanical, vehicle-integration, data-flow architects) to ensure product success, including frequent executive level presentations
Drive teams to consensus in an environment of passionate stakeholders
Demonstrate technical ownership and leadership of your program from concept through to fleet deployment
Support assessment and optimization of training platforms
Qualifications
BS or MS in electrical/computer engineering or equivalent
15+ years of professional work experience
Solid electrical engineering fundamentals
Deep understanding of optimizing hardware to support AI/ML software
Track record of successful complex product delivery
Experience in computer system architecture design and optimization
Experience managing engineering teams and mentoring junior engineers
High-speed motherboard design and architecture
Working knowledge of schematic design and PCB layout tool (Altium Designer preferred)
Passion for problem-solving (both technical and organizational)
Experience with CM, ODM, and JDM models, as well as working with silicon vendors
Bonus Qualifications
Experience optimizing cloud (AWS) resources for model training
Experience in functional safety/ISO 26262/FMEA
Experience taking products through full EMC
Experience in automotive/EV/AV/aerospace/space or similar industries
Experience in software/automation development
Hands-on lab experience, such as soldering, and experience with lab equipment (power supplies, signal generators, oscilloscopes, spectrum analyzer)
Familiarity with common industry technologies and protocols, including GPUs, CAN, Ethernet, GNSS, GMSL, NVMe, M.2, PCIe, optical networking, Linux, QNX
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