---
title: 'Senior/Staff AI Algorithms Engineer at Dexterity'
canonical: 'https://feeny.ai/job/senior-staff-ai-algorithms-engineer-dexterity-redwood-city-whakfmav5zcc'
type: 'job'
last_seen: '2026-09-11'
---

# Senior/Staff AI Algorithms Engineer at Dexterity

- **Company:** Dexterity
- **Location:** Redwood City, CA
- **Compensation:** $170k–$225k
- **Work type:** onsite
- **Posted:** 2025-06-09
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.lever.co/dexterity/ecdf1193-7946-4345-95be-3c1453d15a94

## Job description

## 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 worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ 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!

## About the Role

We’re looking for an Senior/Staff AI Algorithms Engineer with deep foundations in machine learning, reinforcement learning, and optimization—and a strong drive to apply those skills to novel, high-impact problems in robotics. You will leverage techniques from machine learning, reinforcement learning, search, and optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in reinforcement learning, task and motion planning, and other related fields in order to further enhance Dexterity’s technology foundations in Physical AI

You’ll be part of a team working across simulation, real robots, and multimodal sensor streams, applying first-principles thinking to unlock product capabilities where off-the-shelf ML solutions fall short. If you have strong research instincts but are excited to build things that are used in the real world, this role offers the chance to turn deep technical ideas into systems deployed at scale.

## What You'll Do

- Design and prototype novel algorithms at the intersection of learning, prediction, and planning, with a focus on solving real product challenges
- Apply reinforcement learning, geometric reasoning, or optimization-based methods to tackle long-horizon manipulation, sensor fusion, or decision-making under uncertainty
- Translate open-ended problems into clear technical approaches, balancing modeling intuition with real-world constraints like latency, reliability, and partial observability
- Build and test your algorithms across simulation and real-robot environmentsCollaborate closely with product leads, software engineers, and roboticist to bring ideas into fruition
- Contribute to internal knowledge, tooling, and experimentation pipelines that level up the entire team

## What We’re Looking For

- PhD or equivalent experience in machine learning, robotics, optimization, applied math, or a related field
- Strong mathematical foundation in areas such as probability, statistics, optimization, reinforcement learning, imitation learning, and foundation models
- Ability to turn theoretical insights into practical, testable code using Python and PyTorch (or similar frameworks)
- Curiosity, initiative, and a bias toward building and debugging in real systems
- Clear communication skills and an ability to collaborate across engineering and research boundaries

## Nice to Have

- Experience with physics simulators, control stacks, or physical sensing modalities (RGBD, force-torque, etc.)
- Prior work on real-world ML deployments (e.g., autonomous vehicles, logistics, hardware-integrated ML)
- Contributions to open-source ML, RL, or robotics libraries
- Previous startup experience

## Why this Role

- You’ll work on hard, novel problems that demand first-principles thinking—not just tuning models
- Your work will run on physical systems with real constraints, feedback, and real world impact
- You’ll be expected to and supported in owning high-impact projects from early on
- You’ll have a chance to help shape how learning, prediction, and planning come together in next-generation robotics

## 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