Robotics Engineer, Dexterity

Salary not provided
Junior and Mid level
San Francisco Bay Area

Office located in Redwood City, CA

Dexterity

Robotics for logistics, warehouses, and supply chain

Open for applications

Dexterity

Robotics for logistics, warehouses, and supply chain

201-500 employees

B2BArtificial IntelligenceEnterpriseLogisticsManufacturingRoboticsSupply ChainSaaS

Open for applications

Salary not provided
Junior and Mid level
San Francisco Bay Area

Office located in Redwood City, CA

201-500 employees

B2BArtificial IntelligenceEnterpriseLogisticsManufacturingRoboticsSupply ChainSaaS

Company mission

Dexterity's mission is to help people thrive and grow by freeing them to do work that humans do best, by transforming the world to make work more purposeful.

Role

Who you are

  • Education in computer science, electrical engineering, robotics or related field
  • Thorough understanding of robot kinematics, dynamics and control
  • Proficient in C++ & Python with experience writing libraries
  • Strong math, physics (kinematics, dynamics), and analytical skills
  • Understanding of modern robotics and state estimation techniques preferred
  • Familiar with real-time systems and large-scale scalable software architectures
  • Solid understanding of algorithms and data structures

What the job involves

  • Collaborate with developers, fellow engineers, project managers, clients, and other stakeholders to understand the requirements and scope of the robotics project
  • Design, program, test, and debug software for robots and robotic systems
  • Ensure that robotic machines operate safely, dependably, and with precision: identify and implement modifications
  • Develop software for computer vision applications & robotics control
  • Integrate machine learning methods with robotic applications
  • Develop novel controllers for multi-robot & human-robot collaboration
  • Develop planning algorithms for safe operations
  • Incorporate customer requirements into robotics system design

Our take

Dexterity emerged from stealth at an opportune, albeit tough, time in 2020, just as an accelerating labour crunch drove major demand for automated solutions in factories and warehouses. The company managed a major fundraise and immediately moved on to bigger and better things: expanding into the Japanese market, partnering with supply chain automation leader Dematic and achieving unicorn status with a greater than $1 billion valuation.

Unlike other companies which are fixated on developing increasingly sophisticated, more human-like robots, Dexterity’s takes a comparatively simple hardware approach. Its machines take care of highly repetitive tasks, while its SaaS platform shares everything it learns with each robot, amplifying intelligence across the fleet. Rather than seeking to replace human workforces it aims to augment them, freeing skilled workers for more complex tasks.

Considering that the worldwide labour shortage is heavily impacting the industrial sector, Dexterity is in a promising position to continue its upward trajectory over the next few years.. Indeed its recent partnerships with Sumitomo to supply 1,500 Dexterity robots in their warehouses and with FedEx for autonomous trailer loading are encouraging signs of things to come for the company.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

1% employee growth in 12 months

Company

Funding (2 rounds)

Oct 2021

$140m

SERIES B

Jul 2020

$56.2m

SERIES A

Total funding: $196.2m

Company benefits

  • Flexible and generous vacation and holidays
  • Comprehensive healthcare benefits for you and your family
  • Retirement plan (subject to country of employment)
  • Wellbeing and fitness offerings
  • Insurance programs
  • Discounts and perks
  • Meals and snacks at our sites

Company HQ

Redwood City, CA

Leadership

Former Software Design Engineer at Microsoft India R&D, former Research Assistant at Simon Fraser University. Before founding Dexterity they spent 10 years at Stanford University, gaining a Doctor of Philosophy (Ph.D.) & Master of Science (M.S.), Computer Science.

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