Automotive Solution Architect - SDV, Connected Cars, Sensor Fusion

Faststream Technologies; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology solutions provider in the United States is looking for a professional to lead Advanced Automotive Systems Architecture. This role will involve designing AI-powered applications for Software-Defined Vehicles while optimizing real-time perception and integrating deep learning models. Candidates must have experience with embedded systems, AI frameworks, and a deep understanding of automotive data formats. The position offers a competitive compensation structure based on outcomes, and is ideal for individuals seeking to push the boundaries of automotive technology.

Qualifications

• Experience designing systems for Software-Defined Vehicles.
• Strong expertise in AI and automotive communication protocols.
• Hands-on experience with AI model optimization for edge devices.

Responsibilities

• Lead the design for automotive-grade AI solutions.
• Define architectures for connected and autonomous vehicles.
• Optimize AI models for real-time applications.

Skills

Deep Learning frameworks

Generative AI models

Programming in Python, C++, CUDA, and ROS

Embedded AI/Edge ML

Automotive data formats

Real-time sensor fusion

Tools

TensorFlow

PyTorch

NVIDIA Jetson

Qualcomm AI SDKs

Job description

The role requires an Entrepreneurial mindset person - The compensation shall be much better than normal but limited fixed component plus outcome based.

The role is to lead / own Advanced Automotive Systems Architecture / Pre-sales / Delivery covering

• Software Defined Vehicle
• Connected Cars
• Autonomous Cars
• Sensor Fusion
• Smart Cockpit / Edge AI use cases

Responsibilities entail development of cutting-edge AI-powered applications for Software-Defined Vehicles (SDVs). Lead / Own building real-time perception, autonomous decision-making, and interactive AI systems that enhance in-vehicle intelligence, driver assistance, and passenger experiences.

• Define end‑to‑end SDV architectures, system specifications, PRD/MRD documentation, and integration strategies.
• Architect scalable platforms covering automotive-grade middleware, embedded OS, communications stacks, and hardware-software interfaces.
• Lead the design, development, and deployment of Generative AI and Computer Vision models for SDV applications, includingdriver monitoring, object detection, autonomous navigation, and in-vehicle user experience.
• 5G NTN Integration:Architect connectivity solutions that leverage 3GPP LTE/5G standards for direct-to-satellite (NTN) communication, ensuring reliable data transfer in remote areas.
• Connectivity & Telematics:Architect 4-Wheeler telematics control units (TCUs) to support 5G/LTE/eSIM/GNSS, ensuring secure OTA, FOTA, and data services.
• Architect and traindeep learningmodels for real-time perception, scene understanding, and multimodal AI applications (vision, NLP, speech).
• Work closely withADAS (Advanced Driver Assistance Systems), IoT, and embedded softwareteams to integrate AI-powered solutions into vehicle architectures.
• Optimize AI models for real-time processing on automotive-gradeedge hardware (NVIDIA, Qualcomm Snapdragon or similar).
• Develop AI-powered human-vehicle interaction systems, includingDrive Monitoring, and predictive user interfaces.
• Stay ahead of the latest advancements inAI/ML, diffusion models, and self-supervised learningto push the boundaries of automotive AI applications.

Technical Skills

• You must have dealt with all kind of Silicon in the market including AI, 5G/NTN, FPGA, MCUs, DSPs and more.
• Strong expertise inDeep Learning frameworks(TensorFlow, PyTorch, JAX).
• Experience withGenerative AI models(Stable Diffusion, GANs, NeRFs, or similar).
• Experience withtransformer-based architectures, and multimodal AI.
• Hands‑on experience withembedded AI/Edge ML (NVIDIA Jetson, Qualcomm AI SDKs, TensorRT, OpenVINO).
• Strong programming skills inPython, C++, CUDA, and ROS.
• Experience withautomotive data formats (CAN, ROS, OpenDRIVE, ASAM OpenSCENARIO).
• Industry Knowledge: Understanding ofADAS, autonomous driving, digital twins, and SDV architectures.
• Experience inAI-driven Digital Cockpit and next‑gen HMI (Human‑Machine Interface)applications.
• Familiarity with3D synthetic data generationfor training AI models.
• Strong understanding ofreal-time sensor fusion (LIDAR, CAN, DMS, IMU).
• Experience working withAutomotive OEMs and Tier 1 suppliers.
• Experience withcloud-based AI training and edge-to-cloud inference architectures.
• Broad domain experience from areas like media, radio, navigation, Wi‑Fi, device mirroring (car play & android auto), voice control, Bluetooth, FOTA, e‑Call etc.
• Must have handled Hardware & Software for Advanced Automotive Systems.