Intermediate Robotics Software Engineer, Kindred AI

Intermediate and Senior Roles Available

Salary not provided
Python
C++
Mid and Senior level
San Francisco Bay Area
Kindred AI

Artificial intelligence-powered robotics platform

Job no longer available

Kindred AI

Artificial intelligence-powered robotics platform

101-200 employees

B2BArtificial IntelligenceEnterpriseRoboticsAutomation

Job no longer available

Salary not provided
Python
C++
Mid and Senior level
San Francisco Bay Area

101-200 employees

B2BArtificial IntelligenceEnterpriseRoboticsAutomation

Company mission

Kindred AI's mission is to enhance the industrial workforce by developing artificial intelligence-backed robotics and intelligent machines. It is doing this to create a future where humans are empowered to pursue more meaningful work, and intelligent robotics can solve some of the world's biggest challenges.

Role

Who you are

  • Expertise in architecting, owning, executing, and evangelizing software solutions to complex robotic manipulation challenges
  • Development experience in modern C++, ROS, and Python
  • Experience with industrial robot arm control, path planning, multi-robot collaboration, force control, calibration, and grasp perception
  • Strong experience with modern software development processes such as design documentation, code reviews, CI/CD, testing, project management workflow, and source control conventions
  • Proficient understanding of concurrent programming, distributed and parallel systems
  • Practical experience with one or more areas of computer vision such as object tracking, segmentation, or 3D scene understanding based on depth
  • Ability to prototype with OTS components and custom code for integration into autonomous systems
  • Analytical skills to help summarize results and bring forward solutions that combine multiple streams of quantitative and qualitative data
  • Ability to work with product management to deliver products to market

Desirable

  • Bachelor's degree in computer science, computer engineering, electrical engineering, robotics, or related field
  • Experience programming in Go
  • Familiarity with bin-picking applications and other elements of warehouse automation
  • Experience integrating custom end-of-arm tooling
  • Experience in robotic trajectory optimization algorithms and familiarity with common motion planning implementations
  • Experience with kinematic and dynamic simulation and visualization environments
  • Development of reliable services for resource-constrained systems, especially on Linux
  • Any mechanical, electrical or mechatronic design, assembly, and hardware-in-the-loop testing experience
  • Experience in industrial automation technologies such as fieldbus protocols, PLCs, or servo drives

What the job involves

  • Develop production-quality hardware interfaces that present well-crafted software APIs
  • Define and implement best practices for designing, debugging, integrating, automating, logging, monitoring, tooling, simulating, and testing devices and sensors for robotic manipulation
  • Investigate new technologies, identify bottlenecks, improve processes, create roadmaps, and further robotics software development excellence at Kindred
  • Mentor, grow, and motivate junior team members, interns, and peers

Our take

The COVID-19 pandemic has put serious pressure on an already growing eCommerce industry. Services such as Amazon Prime have increased pressure for next-day order fulfillment, an expectation that antiquated assembly lines were ill-prepared for.

Kindred AI builds automated robotics that are purpose-built for eCommerce order fulfillment. The company's AI robotics pick and pack items to prepare businesses for long-term growth, using AI to recognize objects and apply human intelligence to the process. The company charges per successfully prepared item as opposed to directly selling its hardware.

This presents an interesting approach for the automated eCommerce order fulfillment industry. As opposed to selling uniform robotics to companies, Kindred’s ‘pay-per-pack’ model provides an affordable automation solution whilst ensuring that the service is appropriately bespoke for successful order fulfillment of each company.

Steph headshot

Steph

Company Specialist

Insights

Top investors

24% female employees

29% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Feb 2019

$36m

SERIES C

Oct 2017

$35.4m

SERIES B

Total funding: $87.4m

Company benefits

  • Work from home opportunities

Company values

  • Compassion
  • Deliver beyond expectations
  • Courage to innovate
  • Embrace differences
  • Practice inclusion
  • Ask the hard questions and listen actively
  • Be humble
  • Quantify
  • Play and celebrate

Company HQ

China Basin, San Francisco, CA

Founders

James Bergstra

(Co-founder & Head of AI Research)

After a PhD in Computer Science, James spent a year as a Harvard Research Scholar, and almost two as a Banting Fellow at the University of Waterloo. He co-founded Kindred AI in July 2014, and has been Head of AI Research since January 2018.

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