Software Engineer - Data Platform

Posted 6 Days Ago
Redwood City, CA
125K-150K Annually
Entry level
Logistics • Robotics
The Role
As a Software Engineer on the Data Platform team, you will design and deploy robust applications for data processing and analytics, create APIs, and collaborate on key performance indicators to drive business growth by leveraging telemetry data from robots.
Summary Generated by Built In

About the Role:


As Dexterity’s Software Engineer - Data Platform, you will be responsible for building highly reliable applications that serve critical business metrics to internal and external customers to showcase the power of Dexterity’s Robot Platform and to drive the growth of the business. You will be building near real time data processing systems to collect and process robot telemetry data to generate these business insights.


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 around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 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!


Day to Day Activities:


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.


Desired Skills:


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


Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $125,000 to $150,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis.


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.


Top Skills

Go
Java
Python
The Company
HQ: Downtown Redwood City, CA
211 Employees
On-site Workplace
Year Founded: 2017

What We Do

We deliver full-stack robot dexterity solutions for logistics, warehousing, and supply chain operations. Our robots pick, move, pack, and collaborate with human-like skill in existing infrastructure to solve the toughest problems in material handling.

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