Software Engineer, Dexterity

Data Platform

Salary not provided
Python
Java
Spark
Flink
Mid and Senior level
San Francisco Bay Area
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
Python
Java
Spark
Flink
Mid and Senior level
San Francisco Bay Area

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

  • Degree in Computer Science or related technical discipline, or related practical experience
  • Proficiency in any programming language: Golang, Java or Python
  • Comfortable working with a lot of data: collection, storage, analysis
  • Strong analytical and problem-solving skills
  • Familiarity with a wide array of software stack technologies such as Relational and NoSql Datastores, Real time processing systems: Flink/Spark, PubSub Systems, Rest APIs/GRPC, Workflow orchestration systems, Public Cloud
  • Experience with algorithms and data structures

What the job involves

  • Design and deploy software to ingest, process and analyze the data generated by 1000 of robots and robotic systems
  • Design and Develop APIs and backend systems to expose business critical data
  • Design, Build, analyze and scale data processing pipelines that meet the defined SLIs
  • Collaborate with cross-functional teams to drive company wide OKRs
  • Evangelize the observability stack and other data systems and increase adoption

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

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.

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

Founders

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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