28 days ago
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 constrained resources, long uptimes, fault recovery, data integrity, and remote diagnostics.
- Build device observability through metrics, logs, traces, crash data, health signals, and field-diagnostics tooling.
- Lead safe fleet releases through 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.
- Respond to production incidents, identify root causes, and convert field learnings into platform improvements.
- Mentor engineers, lead design and architecture decisions, and establish standards for performance, reliability, testing, and maintainability.
Requirements
- 7+ years of experience building embedded or edge systems and shipping and operating production hardware/software products.
- Strong C/C++ skills and 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.
- Experience with camera and image pipelines, including V4L2, GStreamer, codecs, synchronization, and calibration or equivalent systems.
- Experience optimizing models with production runtimes or accelerators such as TensorRT, SNPE, OpenVINO, or TFLite.
- Demonstrated technical leadership across ambiguous, cross-functional work, with clear communication and strong ownership.
- Preferred experience with Qualcomm SNPE, GPU/NPU-based edge platforms, multi-camera systems, sensor fusion, real-time perception, video analytics, secure boot, device identity, signed updates, connected-device hardening, or ruggedized fleet-scale products.
Benefits
- Opportunity to own systems from prototype through production fleet operation.
- Work with a small, experienced team where senior engineers have meaningful technical influence.
- Build edge AI technology intended to improve road safety and save lives.
- Fast-moving Series A startup environment with meaningful ownership and early-stage equity.
- Competitive compensation is offered, with no base salary amount stated.
About Obvio
Obvio builds solar-powered, AI-assisted camera systems and software that automate traffic-law enforcement at pedestrian-heavy locations for cities and transportation agencies. The company generates revenue by deploying and operating its hardware-plus-software platform under contracts with municipalities. Headquartered in San Carlos, California, this privately held firm reports that early partner cities saw a 50% reduction in reckless driving after deployment.