---
title: 'Senior Computer Vision Engineer at Dexterity'
canonical: 'https://feeny.ai/job/senior-computer-vision-engineer-dexterity-redwood-city-cq5e3gwwcqvp'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Computer Vision Engineer at Dexterity

- **Company:** Dexterity
- **Location:** Redwood City, CA
- **Compensation:** $160k–$200k
- **Work type:** onsite
- **Posted:** 2025-02-05
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.lever.co/dexterity/570a7303-09f0-485a-b24a-7d5ea187dab4

## Job description

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and their limitations and bringing your expertise in Computer Vision and developing ML models. Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy.

You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc... Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful. In addition, a solid grounding in writing optimized code in C++ and Python. Additionally, familiarity with cloud infrastructure to build training and serving pipelines is also a key aspect to this role.

At Dexterity, our use cases require low latency inference that approaches real time and therefore you must be able to build highly performant models and serving architectures. While an understanding of open source solutions is a useful prerequisite, we also require that the candidate has experience building their own models and setting up training pipelines. The end to end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models on the field will be under your purview.

## About Dexterity

At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.

We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world.   Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities.  Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production.  And did we mention we’re customer-obsessed?  Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible?

Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures.  We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication.  Come join Dexterity and help make intelligent robots a reality!

Required Skills:

- BS/MS in Computer Science, Machine Learning or a related discipline, or equivalent experience
- 5 or more years of related work experience
- Experience with OpenCV and Open3D
- Prior experience building, training and deploying production ML models from scratch using PyTorch and Tensorflow
- Strong knowledge of Modern C++ and Python
- Experience using profilers and debuggers to optimize code
- Experience building and maintaining production code
- Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others
- Strong academic background and knowledge of ML and academic papers
- Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines
- Ability to trace and solve problems across interconnected systems, pipelines and applications
- Experience with Git and modern CI pipelines

Nice to haves:

- Experience with Docker and Kubernetes
- Previous startup experience

## Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

## About Dexterity

## Company Overview
- **One-liner**: Dexterity builds Physical AI and robotic systems that give industrial robots human-like dexterity for complex logistics and warehouse tasks, already deployed in production at major enterprises.
- **Entity Type**: Private (Series C‑II)
- **Headquarters**: Redwood City, California, USA
- **Founded**: 2017
- **Founders**: Samir Menon (CEO)

## Core Business
- **Primary industries**: Robotics, Physical AI, logistics automation, warehousing, supply chain operations, e‑commerce, parcel, retail, and aviation.
- **Target customers**: B2B – large enterprises in logistics, warehousing, and material handling.
- **Mission / purpose**: To deliver world‑changing robotics that automate repetitive tasks, allowing human workers to focus on higher‑level cognitive work.

## Products & Services
- **[Mech](https://dexterity.ai)**: An industrial superhumanoid robot with dual‑arm coordination, advanced vision, and an omnidirectional drivetrain. Capable of lifting up to 30 kg per arm (60 lbs top pick, 12 kg side pick) and operating in rugged conditions (0–50 °C, up to 90% humidity). Handles truck loading/unloading, palletizing, and depalletizing. Achieves ~400 boxes/hour loading (vs. industry average of ~300 boxes/hour). Type: Hardware + AI software.
- **[Foresight](https://dexterity.ai)**: A world model for Physical AI, trained on over 100 million autonomous actions in production. Enables long‑horizon reasoning and real‑time decision‑making. Opened to the community via the Foresight API Challenge in 2026. Type: AI software / API.
- **Other robotic systems**: Full‑stack robotics for loading, unloading, sorting, and other complex manipulations in unpredictable environments. Type: Hardware + software.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed.
- **Key Metric**: Annual Revenue ~$13.5 M (2026 estimate, per LinkedIn). Total funding: conflicting reports – **$396.11 M** (per CB Insights) vs. **$291.2 M** (per LinkedIn). Both figures cited as conflicting.
- **Notable Investors**: Lightspeed, Matter Venture Partners, Sumitomo, Obvious Ventures, B37 Ventures, and at least 14 other investors (CB Insights). Also strategic partnership with Kawasaki Robotics.
- **Growth Signals**:
  - Named one of Business Insider’s 25 most promising robotics startups of 2026.
  - Headcount: 129 employees across 6 countries (US, India, Japan, Taiwan, France, Italy). Job postings up 20% year‑over‑year.
  - Zero safety incidents reported in production.
  - Over 100 million autonomous actions in production.
  - Partnership with Kawasaki Robotics announced in June 2026.

## Competitive Advantages
- **Production‑proven Physical AI**: Robots run full shifts at the world’s largest logistics companies with zero safety incidents.
- **Foresight world model**: A transactable world model built for long‑horizon reasoning – a differentiator vs. competitors that rely on simpler reactive systems.
- **Human‑like dexterity**: Dual‑arm coordination and advanced vision handle edge cases that stop competing solutions.
- **Safety‑first approach**: Emphasized on their website and backed by a clean safety record.

## Strategic Focus
- **Expanding into new verticals**: Moving beyond logistics into aviation (e.g., Customer Success Manager for Aviation Robotics role) and retail.
- **Open‑sourcing AI capabilities**: The Foresight API Challenge invites the community to build on their world model.
- **Deepening enterprise partnerships**: Collaboration with Kawasaki Robotics to combine trusted hardware with Dexterity’s Physical AI.
- **Scaling production deployments**: Continued hiring of field engineers, site operations managers, and technical program managers.

## Why Work Here
- **Cutting‑edge technology**: Work on some of the hardest robotics and AI challenges for the largest businesses on Earth.
- **Real‑world impact**: Robots are already in production – not just demos or pilots.
- **Culture & reviews**: Employer rating 3.3/5 (50 reviews) with work‑life balance 3.0, compensation 3.1, culture 3.0, career 3.1. Mixed but not outstanding.
- **Work policy**: Most roles appear to be on‑site (Redwood City, CA; Gardena, CA; Tracy, CA). No explicit remote/hybrid policy found; job postings list on‑site locations.
- **Engineering culture**: Emphasis on safety, real‑world reliability, and pushing the boundaries of Physical AI. Talent drawn from Stanford, Tesla, Apple, Amazon, etc.
- **Notable perks**: Opportunity to contribute to a world model used in production; involvement in the Foresight API Challenge.

## Sources
1. [dexterity.ai](https://dexterity.ai) – Company website, product descriptions, Foresight, safety claims.
2. [jobs.lever.co/dexterity](https://jobs.lever.co/dexterity) – Careers page, job postings, location info.
3. [cbinsights.com](https://www.cbinsights.com/company/dexterity-1) – Funding rounds, total raised ($396.11M), investors, founded year, product details.
4. [linkedin.com/company/dexterityinc](https://linkedin.com/company/dexterityinc) – Revenue ($13.5M), headcount (129), funding ($291.2M), locations, reviews, recent hiring trends, partnership announcement.
5. [go.dexterity.ai/resources](https://go.dexterity.ai/resources) – About page, mission, application instructions.

## Other roles at Dexterity

- [Staff Accountant](https://feeny.ai/job/staff-accountant-dexterity-redwood-city-v9psqpsy9t1f) — Redwood City, CA
- [Staff Engineer, Infrastructure](https://feeny.ai/job/staff-engineer-infrastructure-dexterity-redwood-city-rgk0hyabw2aj) — Redwood City, CA
- [Principal Product Manager, Physical AI Applications (Retail & 3PL)](https://feeny.ai/job/principal-product-manager-physical-ai-applications-retail-3pl-dexterity-redwood-z43nj6w6j8kx) — Redwood City, CA
- [Senior Talent & People Operations Partner](https://feeny.ai/job/senior-talent-people-operations-partner-dexterity-redwood-city-fnpwe33jesnd) — Redwood City, CA
- [Field Service Engineer](https://feeny.ai/job/field-service-engineer-dexterity-redwood-city-h76a0fagh32e) — Redwood City, CA
- [Senior Enterprise Sales Executive](https://feeny.ai/job/senior-enterprise-sales-executive-dexterity-remote-qgbv843djtcj)
- [Marketing Principal/ Director - Physical AI](https://feeny.ai/job/marketing-principal-director-physical-ai-dexterity-redwood-city-ne5h8fv86w9s) — Redwood City, CA
- [Senior Manager, Site Operations](https://feeny.ai/job/senior-manager-site-operations-dexterity-hagerstown-c6t5j8tjjb56) — Hagerstown, MD
- [Customer Success Manager, Aviation Robotics](https://feeny.ai/job/customer-success-manager-aviation-robotics-dexterity-redwood-city-rvv69ybz5f43) — Redwood City, CA
- [Robotics Field Engineer (Gardena, CA)](https://feeny.ai/job/robotics-field-engineer-gardena-ca-dexterity-gardena-3w68fw4jn74v) — Gardena, CA