---
title: 'Senior Computer Vision Engineer at Obvio'
canonical: 'https://feeny.ai/job/senior-computer-vision-engineer-obvio-san-carlos-mj9rhf1er24n'
type: 'job'
last_seen: '2026-09-22'
---

# Senior Computer Vision Engineer at Obvio

- **Company:** Obvio
- **Location:** San Carlos, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-09-22
- **Apply:** https://jobs.ashbyhq.com/obvio/de8779b0-39bd-42f2-aa5d-e229e4a328ef

## 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 Computer Vision Engineer to build the models and ML systems behind reliable detection and tracking in real-world traffic environments. You will own the full model-development loop: data strategy, training, experimentation, evaluation, field validation, and continuous improvement. This is a hands-on individual-contributor role for someone who combines strong applied-ML judgment with the engineering discipline to make experiments reproducible, measurable, and fast.

## What You’ll Do

- Develop and improve object-detection and multi-object-tracking models for vehicles, pedestrians, and other road users across challenging real-world conditions.
- Own data strategy for model quality: sampling, labeling, dataset versioning, hard-negative mining, class imbalance, edge cases, and feedback from deployed systems.
- Design rigorous experiments and ablations; distinguish real improvements from overfitting, leakage, noisy labels, or gains that do not survive field deployment.
- Build and evolve reproducible training pipelines with experiment tracking, configuration management, artifact lineage, model registries, metric dashboards, and automated hyperparameter search.
- Define evaluation that reflects product behavior—not only aggregate metrics—including precision/recall trade-offs, class and scenario slices, calibration and tracking quality.
- Partner with embedded engineers to optimize models for edge deployment while balancing accuracy, latency, memory & power constraints.
- Set technical direction, lead design reviews, mentor engineers, and raise standards for ML rigor, reproducibility, and production readiness.

## What We’re Looking For

- 7+ years in machine learning or computer vision, with a track record of shipping and improving production models.
- Deep hands-on experience with object detection and multi-object tracking, including modern architectures, data augmentation and evaluation methods.
- Strong understanding of class imbalance, overfitting, dataset leakage, label noise, domain shift, model calibration, and statistically sound validation.
- Experience building training infrastructure or platforms that support reproducible experiments, distributed training, hyperparameter search, metric comparison, and model lineage.
- Strong Python and PyTorch skills, plus practical experience with large image/video datasets.
- Experience validating models on deployed or field-collected data and owning the loop from failure discovery through retraining and verified improvement.
- Demonstrated technical leadership across ambiguous, cross-functional work, with clear communication and strong ownership.

Bonus Points

- Experience with traffic, automotive, robotics, surveillance, or other video-analytics domains.
- Experience with re-identification, trajectory modeling, occlusion handling, camera calibration, or multi-camera tracking.
- Experience with active learning, weak supervision, synthetic data, automated labeling, or dataset-quality tooling.
- Experience optimizing and deploying vision models on NVIDIA Jetson, Qualcomm Snapdragon, or other edge accelerators.

## Why This Role

- Build computer vision that directly improves road safety.
- Own the complete path from data and experiments to validated performance in the field.
- Work with a small, experienced team where senior engineers have real technical influence.

## 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

- [Software Engineer, Annotation Systems](https://feeny.ai/job/software-engineer-annotation-systems-obvio-san-carlos-0s6pxvft9nav) — San Carlos, CA
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-obvio-san-carlos-qkeh0tvyzqdb) — San Carlos, CA
- [Mechanical Engineer](https://feeny.ai/job/mechanical-engineer-obvio-san-carlos-9p9xqn0bbzm6) — San Carlos, CA
- [Government Relations Manager](https://feeny.ai/job/government-relations-manager-obvio-college-park-2v78p37zg9a1) — College Park, MD / Mid-Atlantic Region
- [Accounting Manager](https://feeny.ai/job/accounting-manager-obvio-san-carlos-s2hzvbedt16w) — San Carlos, CA
- [Customer Service Representative (Spanish)](https://feeny.ai/job/customer-service-representative-spanish-obvio-san-carlos-rgm5t826gvsx) — San Carlos, CA
- [Account Executive](https://feeny.ai/job/account-executive-obvio-san-carlos-njqh4jfwy625) — San Carlos, CA
- [Video Data Annotator](https://feeny.ai/job/video-data-annotator-obvio-salt-lake-city-jqxrjxkdempj) — Salt Lake City, UT
- [Video Data Annotation Team Lead](https://feeny.ai/job/video-data-annotation-team-lead-obvio-salt-lake-city-4mp401eecz7b) — Salt Lake City, UT
- [Proposal & Content Writer](https://feeny.ai/job/proposal-content-writer-obvio-san-carlos-vty07zk0efqy) — San Carlos, CA