Senior Embedded Engineer

Obvio•San Carlos, CA

About The Position

Obvio deploys AI-assisted cameras to make streets safer. We’re hiring a Senior Embedded Engineer to own the software that turns cameras, compute, and vision models into reliable products in the field. You will be the senior technical owner for production vision systems on the edge—from image capture and model execution through device services, fleet observability, and safe rollout. This is a hands-on individual-contributor role: you’ll write and review code, debug systems in the field, make architecture and trade-off decisions, and raise the engineering bar across the team.

Requirements

7+ years building embedded or edge systems, with a track record of shipping and operating production hardware/software products.
Strong C/C++ skills, plus deep experience with embedded Linux, concurrency, IPC, networking, storage, and system-level debugging.
Hands-on experience deploying computer-vision or machine-learning inference on edge devices, not only training models or running cloud inference.
Experience with camera and image pipelines such as V4L2, GStreamer, codecs, synchronization, calibration, or equivalent systems.
Experience optimizing models with one or more production runtimes or accelerators such as TensorRT, SNPE, OpenVINO, or TFLite.
Production judgment: you can balance accuracy, performance, reliability, security, development speed, and operational cost.
Demonstrated technical leadership across ambiguous, cross-functional work, with clear communication and strong ownership.

Nice To Haves

Experience with Qualcomm SNPE or other GPU/NPU-based edge platforms.
Experience with multi-camera systems, sensor fusion, real-time perception, or video analytics.
Experience with secure boot, device identity, signed updates, or hardening connected devices.
Experience operating outdoor, automotive, robotics, IoT, or other ruggedized products at fleet scale.

Responsibilities

Own the production embedded vision stack, including camera capture, media pipelines, model inference, tracking, pre- and post-processing, device services, and cloud interfaces.
Design software for real-world operation: constrained resources, long uptimes, fault recovery, data integrity, and remote diagnostics.
Build observability for deployed devices—metrics, logs, traces, crash data, health signals, and tools that make field issues diagnosable.
Lead safe fleet releases with versioning, staged rollout, compatibility checks, rollback, and over-the-air update strategies.
Drive architecture and technical decisions across embedded Linux, hardware, vision, backend, and product boundaries.
Own problems through production: respond to incidents, find root causes, and turn field learning into durable platform improvements.
Mentor engineers, lead design & architecture decisions, and establish practical standards for performance, reliability, testing, and maintainability.