Staff Data Platform Engineer, Dexterity

Salary not provided

Python

Java

Kafka

Elasticsearch

C++

Hadoop

Rust

Spark

Expert level

San Francisco Bay Area

Office located in Redwood City, CA

Robotics for logistics, warehouses, and supply chain

Open for applications

Robotics for logistics, warehouses, and supply chain

201-500 employees

B2BArtificial IntelligenceEnterpriseLogisticsManufacturingRoboticsSupply ChainSaaS

Open for applications

Salary not provided

Python

Java

Kafka

Elasticsearch

C++

Hadoop

Rust

Spark

Expert 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.

Job

Company

Role

Who you are

BA/BS Degree in Computer Science or related technical discipline, or related practical experience
10+ years of experience in software design, data engineering, data processing at scale and basic algorithm related solutions
7+ years of programming experience in Java, Python, C/C++, Rust, Go, or other relevant coding languages
Hands-on experience developing/managing distributed systems or other large-scale systems

Desirable

Experience with data infrastructure technologies like Kakfa, Elastic search, HDFS, distributed tracing etc
Experience with observability/telemetry tech stack like Prometheus/Victoria metrics/ Grafana , Alert manager etc
Experience with building solutions on a public cloud platform like GCP, Azure etc
Experience with industry, open-source projects and/or academic research in data management, data modeling, relational databases, and/or large-data, parallel and distributed systems
Experience with deploying solutions on a on-premise systems and on public cloud platform
Experience in building data infrastructure for AI/ ML ecosystems

What the job involves

The Data group at Dexterity is designing one of the most distributed data infrastructures on the planet
Shape and build infrastructure that ingests sub-millisecond sensor data as well application logs generated on-premise and makes it available to cloud data consumers with real-time performance
Design, implement, and optimize the performance of distributed data platforms (distributed systems) spanning from the edge to the cloud with security, reliability and network constraints in mind
Architect and design the data pipelines for AI/ ML heavy workloads in mind in order to extract crucial insights from the data
Work with product teams across the company to identify the needs of data and build out features
Have a good knowledge of data modeling and distributed systems like Spark, Hadoop, kafka, Elasticsearch etc
Help build a fast-growing team by mentoring other engineers and contribute to Dexterity’s strong customer focused culture
Tech-lead several key initiatives and define the future Dexterity big data pipelines and platform
Reports to: Head of Platform

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

Company Specialist at Welcome to the Jungle

Insights

Top investors

1% employee growth in 12 months

Glassdoor (3.4)

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

Articles

Warehouse robotics firm Dexterity raises $140M

Dematic and Dexterity Partner to Deploy Full-Task Robotics

The Robot Report Podcast: Dexterity Founder Samir Menon

Dexterity and Sumitomo partner to bring ‘next generation robotics’ to Japanese warehouses

GXO Pilots AI-enhanced Robotics in Warehouse

Dexterity partners with FedEx to debut trailer loading robots

Dexterity upgrades palletizing and depalletizing software

Leadership

Samir Menon

(CEO)

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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