> Markdown version of [/jobs/ext/2118604-staff-computer-vision-engineer](https://www.wearedevelopers.com/jobs/ext/2118604-staff-computer-vision-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Computer Vision Engineer

- **Company:** HOVER Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $188,000.0 - $322,000.0
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Artificial Intelligence, Computer Vision, Big Data, Building Information Modeling, C++ (Programming Language), Cursor (Graphical User Interface Elements), Software Debugging, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Sensor Fusion, Software Deployment, Software Engineering, GitHub Copilot, Pytorch, Deep Learning, Backend, Data Strategy, Gaussian, Kubernetes, Information Technology, Machine Learning Operations, Front End Software Development, Data Pipelines
- **Published:** August 19, 2026
- **Apply:** https://hover.to/job-posts/7950778

## About the Role

* 5+ years of experience in computer vision, machine learning, or 3D reconstruction within academic research and/or industry environments, with deep domain expertise and a strong track record of solving complex technical problems.
 * Hands-on experience with one or more areas of modern 3D vision and reconstruction, such as multi-view geometry, pose estimation, camera calibration, structure-from-motion, feature matching, dense reconstruction, structured 3D reconstruction, model fitting, optimization, scene understanding, semantic modeling, or structured 3D representation.
 * Practical deep learning experience, ideally applied to 3D reconstruction, geometry, correspondence, pose, segmentation, semantic understanding, VLMs, or related spatial ML problems.
 * Strong software engineering skills in Python and/or C++.
 * Ability to prototype quickly, train models, evaluate approaches rigorously, and translate promising research into practical systems.
 * Experience designing experiments with clear metrics, baselines, datasets, evaluation plans, and go / no-go criteria.
 * Ability to write clear project plans, technical specs, research summaries, experiment reports, and production-readiness documentation.
 * A track record of technical ownership and the ability to independently drive projects from ambiguity through implementation and delivery.
 * Strong collaboration skills and comfort working with researchers, engineers, 3D modelers, infrastructure teams, product partners, and other cross-functional stakeholders.
 * Strong product and engineering judgment, with the ability to balance technical ambition, customer value, production constraints, scalability, reliability, timing, and business impact.
 * Master's or PhD in Computer Science, Machine Learning, Computer Vision, Robotics, Graphics, or a related field.

For Staff-level candidates, we also look for deeper technical leadership and broader organizational impact, including:

 * Experience building and shipping production CV, ML, or 3D reconstruction systems at scale.
 * Ability to define technical direction, architectural strategy, evaluation methodology, and quality/performance standards for complex CV or ML systems.
 * Proven ability to lead initiatives from early-stage research and experimentation through production deployment, monitoring, and long-term system ownership.
 * Strong product and engineering judgment, with the ability to balance technical ambition, customer value, scalability, reliability, timing, cost, and business impact.
 * Ability to operate effectively in ambiguous problem spaces, make pragmatic tradeoff decisions, and drive alignment across cross-functional stakeholders.
 * Strong communication and influence skills, including the ability to translate complex technical concepts, constraints, and tradeoffs for both technical and non-technical audiences.
 * Experience mentoring engineers and raising the technical bar through architecture reviews, technical leadership, experimentation frameworks, and engineering best practices.
 * Track record of translating research, experimentation, or technical innovation into measurable product, customer, or business impact.

Nice to haves

 * Research or industry experience in modern reconstruction and spatial AI approaches such as Gaussian Splatting, neural reconstruction, DUSt3R, MASt3R, VGGT, RoMa, surfels, volumetric methods, VLMs, or foundation-model-style approaches for 3D understanding.
 * Publications or research contributions in relevant venues such as CVPR, ICCV, ECCV, 3DV, ISMAR, SIGGRAPH, NeurIPS, or ICLR.
 * Experience with large-scale production ML systems, including model serving, monitoring, MLOps, distributed training, scalable data pipelines, and cost/performance optimization.
 * Familiarity with infrastructure and distributed systems tooling such as GCP, Kubernetes, Ray, or large-scale data processing frameworks.
 * Experience with geometry processing, graphics, rendering, CAD/BIM workflows, mesh processing, or interactive 3D systems.
 * Experience with modern deep learning frameworks such as PyTorch or TensorFlow.
 * Practical experience leveraging AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar tools to accelerate research, prototyping, debugging, and production development.

## Description

We're expanding Hover's 3D Reconstruction platform to solve one of our most ambitious technical challenges: transforming real-world sensor data into accurate, structured, CAD-quality models at scale. Computer Vision doesn't just support Hover's products, it defines them. We're looking for either a Senior or Staff Computer Vision Engineer who can turn cutting-edge research into scalable production capabilities while helping shape the future of our reconstruction systems.

This role is ideal for someone who wants to own meaningful technical work end to end, move quickly without large-company bureaucracy, and help build accurate digital twin models of the real world at scale. You'll work across research, experimentation, and production: reading papers, reproducing and adapting promising academic approaches, training deep learning models, designing rigorous experiments, building proof-of-concepts, and turning successful ideas into robust engineered systems that reach users.

At the Staff level, this role is ideal for a technical leader who is equally comfortable with deep 3D reconstruction work, product strategy, architectural tradeoffs, experiment design, and production deployment. You'll help connect long-term technical vision, day-to-day engineering execution, and market-driven product needs so Hover's CV roadmap delivers maximum customer and business impact.

You'll join a high-performing team of computer vision researchers, reconstruction engineers, graphics specialists, and 3D modelers building systems that turn real-world capture into accurate digital twin models at commercial scale.

You will contribute by

In this role, you will design, prototype, evaluate, and productionize advanced computer vision and deep learning systems for 3D reconstruction, scene understanding, semantic modeling, and structured property representation. You will work across the full lifecycle of applied research and engineering: identifying relevant academic and industry approaches, writing project plans and technical specs, building proof-of-concepts, training and evaluating models, analyzing reconstruction quality and performance, and integrating successful approaches into production systems.

You will partner closely with 3D reconstruction, Product, Design, Engineering, modeling, infrastructure, graphics, frontend, and backend teams to turn ambiguous technical and customer needs into clearly scoped experiments and production capabilities. Success in this role requires strong technical judgment, clear communication, and the ability to make practical tradeoffs between research quality, user impact, production constraints, performance, reliability, and cost.

Your work may include mobile capture, aerial imagery, multimodal sensor fusion, multi-view reconstruction, pose estimation, feature matching, dense geometry, model fitting, semantic understanding, volumetric, surfel, or surface-based representations, CAD-quality structured outputs, and emerging methods such as Gaussian Splatting, VLMs, or foundation-model-style approaches for correspondence and 3D understanding.

At the Staff level, you will also be expected to shape technical direction across larger initiatives: framing problems, sizing opportunities, prioritizing technical investments, and making "stop / iterate / scale" judgments across reconstruction approaches, model development, data strategy, quality targets, and product impact. You will communicate technical tradeoffs, resource needs, and roadmap implications to cross-functional partners and leadership.

You will help raise the technical bar for the team by setting standards for performance, reliability, maintainability, and cost; leading by example in Python and/or C++; and mentoring engineers through design reviews, architecture discussions, experiment plans, and production-readiness reviews.


## Related Videos

- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)
- [WeAreDevelopers LIVE - Building The World’s Worst Image Editor™](https://www.wearedevelopers.com/videos/1836-wearedevelopers-live-building-the-world-s-worst-image-editor)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Confuse, Obfuscate, Disrupt: Using Adversarial Techniques for Better AI and True Anonymity](https://www.wearedevelopers.com/videos/1456-confuse-obfuscate-disrupt-using-adversarial-techniques-for-better-ai-and-true-anonymity)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)

## Related Articles

- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)