---
title: 'Senior Embedded Engineer at Obvio'
canonical: 'https://feeny.ai/job/senior-embedded-engineer-obvio-san-carlos-z277yrdqw45a'
type: 'job'
last_seen: '2026-10-20'
---

# Senior Embedded Engineer at Obvio

- **Company:** Obvio
- **Location:** San Carlos
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-20
- **Apply:** https://jobs.ashbyhq.com/obvio/5f1531ba-39f0-469e-a25c-72a4b855be14

## Job description

## About Obvio AI

Each year, more than 40,000 people in the U.S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are preventable. We deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable, automating enforcement in ways that traditional systems cannot. Our approach has already led to a 50% reduction in reckless driving in early partner cities.

Founded by the team behind Motive's AI dashcam and backed by Bain Capital Ventures and Khosla Ventures, we are building the intelligence layer for safer streets globally.

## About the Role

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.

## What You’ll Do

- 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.

## What We’re Looking For

- 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.

Bonus Points

- 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.

## Why This Role

- Own systems from prototype through production fleet operation.
- Work with a small, experienced team where senior engineers have real technical influence.
- Build edge AI that directly improves road safety.

## Why Obvio

- Your work will help save lives and improve road safety
- Series A of $54M
- Fast-moving startup environment with meaningful ownership
- Competitive compensation and early-stage equity

Obvio is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Obvio considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Obvio is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

## About Obvio

## Company Overview
- **One-liner**: Obvio provides AI-powered, context-aware traffic safety cameras that help cities detect reckless driving, educate drivers, and enforce traffic laws.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Carlos, California, United States
- **Founded**: 2023
- **Founders**: Ali Rehan and Dhruv Maheshwari

## Core Business
- **Primary industry/industries**: Traffic safety technology, public safety, GovTech
- **Target customers**: Municipalities, law enforcement agencies (B2G)
- **Mission or purpose statement**: "There are no accidents. All crashes are preventable. Our mission is to curb reckless driving and save lives on our roadways." [obvio.ai](https://www.obvio.ai/)

## Products & Services
- **[Obvio AI Camera Pylon]**: A solar-powered, brightly colored camera pylon installed near intersections. On-device AI detects stop sign violations, speeding, crosswalk violations, illegal turns, unsafe lane changes, and distracted driving. The footage is processed locally; only violation clips are uploaded. The technology is provided free to municipalities, and Obvio shares citation revenue with the government. [techcrunch.com](https://techcrunch.com/2025/06/04/obvios-stop-sign-cameras-use-ai-to-root-out-unsafe-drivers/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding raised – $31.4M (as of mid-2025) [linkedin.com](https://www.linkedin.com/company/obvio-inc)
- **Notable Investors/Partners**: Bain Capital Ventures (led Series A), Khosla Ventures, Homebrew, Pathlight Ventures, Success Venture Partners [cbinsights.com](https://www.cbinsights.com/company/obvio)
- **Growth Signals**: Headcount grew 328.6% year-over-year to 41 employees; active in five Maryland cities with plans to expand; 14 open job postings; Virginia’s stop sign & crosswalk enforcement law went into effect July 1, 2026, creating tailwinds. [linkedin.com](https://www.linkedin.com/company/obvio-inc)

## Competitive Advantages
- **Privacy-first design**: On-device AI processing means only violation footage leaves the device; all other footage is deleted after ~12 hours. The company explicitly avoids building a surveillance panopticon. [techcrunch.com](https://techcrunch.com/2025/06/04/obvios-stop-sign-cameras-use-ai-to-root-out-unsafe-drivers/)
- **Founding team experience**: Previously built one of the most widely deployed AI dashcam platforms in commercial transportation (at Motive), protecting over 200,000 trucks and reducing crash rates by 24%. [obvio.ai/careers](https://www.obvio.ai/careers)
- **Full-stack approach**: "We build hardware, write code, pass laws, and pour concrete." The company handles hardware, software, policy, and community engagement. [obvio.ai/careers](https://www.obvio.ai/careers)
- **Patented AI technology**: Holds patents in artificial neural networks, classification algorithms, and image processing. [cbinsights.com](https://www.cbinsights.com/company/obvio)

## Strategic Focus
- Expand beyond the initial five Maryland cities using the $22M Series A funding. [techcrunch.com](https://techcrunch.com/2025/06/04/obvios-stop-sign-cameras-use-ai-to-root-out-unsafe-drivers/)
- Focus on changing driver behavior through warnings and deterrence rather than revenue generation, building community trust. [techcrunch.com](https://techcrunch.com/2025/06/04/obvios-stop-sign-cameras-use-ai-to-root-out-unsafe-drivers/)
- Continue hiring across engineering, operations, sales, and government relations to scale deployments.

## Why Work Here
- **Culture**: Values include "Ownership Mindset," "First Principles Thinking," and "Relentless Execution." The team describes itself as "boots on the ground, laptops in hand" – a mix of hardware, software, and policy work. [obvio.ai/careers](https://www.obvio.ai/careers)
- **Work model**: Mix of onsite and remote roles (currently listing Senior Product Designer – onsite in California, UX Designer – remote in California, Project Manager – remote in California). [obvio.ai/careers](https://www.obvio.ai/careers)
- **Impact**: Directly contributes to reducing traffic fatalities and making streets safer; employees work on AI, computer vision, embedded systems, and public policy.
- **Team growth**: Rapid headcount expansion (328% YoY) signals strong momentum and career advancement opportunities.

## Sources
1. [obvio.ai](https://www.obvio.ai/)
2. [obvio.ai/careers](https://www.obvio.ai/careers)
3. [cbinsights.com](https://www.cbinsights.com/company/obvio)
4. [linkedin.com](https://www.linkedin.com/company/obvio-inc)
5. [techcrunch.com](https://techcrunch.com/2025/06/04/obvios-stop-sign-cameras-use-ai-to-root-out-unsafe-drivers/)

## Other roles at Obvio

- [Government Relations Manager](https://feeny.ai/job/government-relations-manager-obvio-college-park-2v78p37zg9a1) — College Park, MD / Mid-Atlantic Region
- [Software Engineer, Annotation Systems](https://feeny.ai/job/software-engineer-annotation-systems-obvio-toronto-3zqv8y0sz1f4) — Toronto, Canada
- [Events & Field Marketing Manager](https://feeny.ai/job/events-field-marketing-manager-obvio-san-carlos-cyd8vxns44qc) — San Carlos
- [Content Marketing Manager](https://feeny.ai/job/content-marketing-manager-obvio-san-carlos-a3qbdmq5vqej) — San Carlos
- [Software Engineer, Annotation Systems](https://feeny.ai/job/software-engineer-annotation-systems-obvio-san-carlos-0s6pxvft9nav) — San Carlos
- [Senior Computer Vision Engineer](https://feeny.ai/job/senior-computer-vision-engineer-obvio-san-carlos-mj9rhf1er24n) — San Carlos
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-obvio-san-carlos-qkeh0tvyzqdb) — San Carlos
- [Mechanical Engineer](https://feeny.ai/job/mechanical-engineer-obvio-san-carlos-9p9xqn0bbzm6) — San Carlos
- [Accounting Manager](https://feeny.ai/job/accounting-manager-obvio-san-carlos-s2hzvbedt16w) — San Carlos
- [Customer Service Representative (Spanish)](https://feeny.ai/job/customer-service-representative-spanish-obvio-san-carlos-rgm5t826gvsx) — San Carlos