Ask HN: Who is hiring? (April 2020)

Payment Rails | Montreal QC | Onsite | https://www.paymentrails.com We are the infrastructure that makes it easy for companies to pay influencers, gig workers and their contractors. You will have the chance to work on core infrastructure and make a real difference in our product vision. We're looking for both frontend and backend engineers, we have a modern technology stack

  * TypeScript / JavaScript
  * React
  * Postgres
  * Redis
  * AWS

Looking for experienced developers in Canada who want to want to work in a startup environment, with a product that has real customers. To learn more contact: david@paymentrails.com

Series-C Construction Tech Startup| Hiring in San Francisco | Onsite, Fulltime

Fieldwire is a construction field management platform. We are venture backed and looking to double the engineering team! If you are looking for a fast-pace startup with great culture and a great product, feel free to apply!

Engineering Manager Product - 4+ yrs of experience, BS or MS in CS or equivalent.

Senior iOS Engineer - 3+ yrs of experience in iOS development, BS or MS in CS or equivalent.

Senior Frontend Engineer - 3+ yrs of experience in iOS development, BS or MS in CS or equivalent.

iOS Engineer - 1+ yrs of experience, BS or MS in CS or equivalent.

Apply here: https://www.fieldwire.com/about-us/#51aB3ATIuTFOJMjCvmxTvP

Brain Corporation | Multiple Openings |San Diego, CA | Mostly Onsite

Brain Corp is a San Diego-based AI company that specializes in the development of self-driving technology. We are taking our proprietary BrainOS (robot operating system) and putting it on other company’s machines to turn them into self-driving, autonomous robots. We have raised $110m from SoftBank and Qualcomm Ventures.

We have recently announced partnerships with Walmart in the US and Softbank Robotics in Japan and have thousands of mobile, autonomous robots in commercial environments. We are hiring across most engineering functions (R&D, Software, Embedded, Cloud, SRE, Electrical). Our full job board can be found here: https://www.braincorp.com/careers

Highlighted openings:

* Sr. Machine Learning Scientists (Depth Perception, SLAM, Motion Planning projects)

* Sr. Software Engineers (C++, Python, Linux)

* Embedded Software Engineers (C/C++)

* Site Reliability Engineers

* Quality Engineer

All positions are posted on the website link above. We have great benefits including lunch catered daily, unlimited snacks & drinks, flexible vacation for exempt positions, and 4% 401k matching.

Typical Interview Process: Code challenge, technical phone/skype screen, onsite (Virtual given COVID19) interview, offer.

Contact me at Rawson.leavitt@braincorp.com if you don't see a role that matches; feel free to send your resume over to us and let us know what you would be interested in.

Thanks! -Rawson https://www.linkedin.com/in/rawsonleavitt/

Barracuda Networks | Campbell, CA | https://www.barracuda.com | Full-time | Onsite

We are looking for someone to join us at Barracuda. Our team is developing an innovative security product that focus on sophisticated email attacks. The product detects and visualizes advanced threats, such as conversation hijacking and account takeover.

We are working with Python, TypeScript, Kotlin, Spark and AWS services.

Principal Backend Engineer: http://jobs.jobvite.com/barracuda-networks-inc/job/oSyhcfwD

You can apply directly using the links. Happy to answer any questions, my email is in bio.

Arena | Active learning AI for pricing | NYC | https://arena-ai.com/

Hiring 1 Machine Learning Scientist & 1 Front-end engineer. Founded by YC alum (Kimono W14). Team = 5 people. Founded 1 year ago. Profitable. Hyper-linear growth.

Email us at careers@arena-ai.com

Today we are focused on pricing. We built a simulator that models hyper-specific market conditions and competitive dynamics to allow human users and AI agents to predict what will happen if they change the price of a product.

Pricing is just the start. We plan to create simulated, virtual copies of many more real environments - with the ultimate purpose of training a broader set of reinforcement learning agents for different tasks.