Robotics Software Engineer, Dexterity

Salary not provided
Junior, Mid and Senior 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, Mid and Senior 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

  • BS/MS/Ph.D. in Computer Science or a related discipline, or equivalent experience
  • Knowledge of Modern C++ and Python
  • Understanding of networking concepts
  • Familiar with Linux
  • Comfortable working with a lot of data: collection, storage, analysis
  • Familiarity with wide array of software stack technologies:
  • Web communication (REST, HTTP) Software communication (ZMQ, Redis, gRPC, etc…)
  • Knowledge of common ML libraries and pipelines

What the job involves

  • Design, program, test, and debug software for robots and robotic systems
  • Develop software for computer vision applications & robotics control
  • Build and analyze pipelines of critical and non-critical data: introspecting on errors regarding decision making, planning, or inference
  • Data analysis and modeling for improving robot performance
  • Build machine learning pipelines to train, test, and infer continuously without human intervention
  • Develop software to enable multiple robots to work collaboratively and safely
  • Introspect on the performance (speed and quality) of control, vision, data software running on the robot system and develop optimizations to improve them
  • Develop and deploy cloud software for data ingestion, analysis, and remote reporting/debugging of 1000s of robot systems

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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