Senior Embedded Systems Engineer

Cyvl•Boston, MA

1d•Onsite

About The Position

CYVL is a Physical AI company focused on bringing Infrastructure Intelligence to cities and communities. They use a combination of hardware, computer vision, cloud data pipelines, and AI to understand the built world from LiDAR and imagery data. Their platform aims to improve infrastructure planning, building, and maintenance for government agencies. The company is seeking a Senior Embedded Systems Engineer to lead the design, development, and production of their next-generation mobile data collection platform, the Cyvl Sensor. This role involves integrating various sensors, developing the embedded Linux system, and scaling the hardware from prototypes to fleet-level deployment.

Requirements

5+ years of experience in embedded systems engineering, hardware design, or a closely related role.
Hands-on PCB design experience (schematic capture, layout, bring-up, and debug) with tools such as Altium, KiCad, or Eagle.
Deep embedded Linux proficiency: BSP development, device trees, kernel module development, driver authoring (camera, sensor, USB, Ethernet).
Experience integrating Nvidia Jetson SoMs (Orin, Xavier, or similar).
Experience with GMSL2 or MIPI CSI camera interfaces and high-bandwidth sensor integration.
Familiarity with multi-sensor time synchronization (IEEE 1588 PTP, PPS, NTP).
Experience with ruggedization: thermal management, vibration/shock mitigation, environmental sealing (IP65+), power architecture for vehicle-mounted systems.
Track record of shipping hardware products from prototype or low-volume stage through to reliable, scalable production.
Comfortable working in a startup environment with high autonomy, ambiguity, and ownership.
BS or MS in Electrical Engineering, Computer Engineering, or equivalent hands-on experience.

Nice To Haves

Experience with edge AI inference optimization (TensorRT, DeepStream, CUDA) on Nvidia platforms.
Mechanical/enclosure design skills (CAD, thermal simulation, DFM for sheet metal or injection molding).
Background in autonomous vehicles, robotics, mobile mapping, or fleet-deployed sensor systems.
Experience with LiDAR integration (Ouster, Velodyne, Hesai, or similar) including point cloud data pipelines.
Familiarity with cellular modem integration, GPS/GNSS receivers, and vehicle power systems (12V/24V automotive).
Experience scaling hardware from single-digit prototypes to thousands of units (supply chain, vendor management, test fixtures).

Responsibilities

Own the full hardware platform lifecycle for the Cyvl Sensor: architecture, component selection, PCB/carrier board design, prototyping, testing, and production readiness.
Design and integrate multi-sensor systems (LiDAR, cameras, GPS, IMU) with Nvidia Jetson Orin or Thor SoMs, including power delivery, signal integrity, and time synchronization (PTP/PPS).
Develop and maintain the embedded Linux BSP: device trees, kernel modules, camera/sensor drivers, and system bring-up on Nvidia JetPack.
Drive the transition from off-the-shelf components to custom, in-house designs as the platform scales from prototype to fleet volume.
Collaborate with the ML team to ensure the hardware platform supports edge AI inference workloads (model deployment, TensorRT optimization is a plus, not a requirement).
Support mechanical and thermal design for ruggedized, fanless, vehicle-mounted enclosures (IP65, wide temperature range, vibration/shock tolerant).