Software Engineer, Signaloid

• Masters degree (or higher) in computer engineering, computer science, or a related discipline
• At least three years experience with C
• Experience developing applications starting from a fundamental description of an algorithm (e.g., from a research article or from an international standard or specification)
• Experience analyzing the computational complexity of the algorithms underlying a software implementation
• Experience improving the performance of applications based on both algorithmic and implementation optimizations
• In-depth understanding of version control tools in general and Git in particular
• A willingness to listen to people until they feel understood
• Honesty, empathy, and a willingness to see the world from the viewpoint of others

Desirable

• Be responsible for leading the implementation of applications for Probabilistic Computer Vision / Image Processing / Graphics applications, in collaboration with other members of the engineering team
• Be responsible for identifying appropriate algorithms that solve the problem at hand and creating the implementation of those algorithms in C or C++, for execution on Signaloid's compute engine
• Be responsible for designing and implementing a testing and validation strategy for the Probabilistic Computer Vision / Image Processing / Graphics applications you implement
• After a year in this role, based on your demonstrated performance, you will have the opportunity to:
• Expand your role to other priority application domains of Signaloid's compute engine's use cases
• See the applications you developed deployed with paying customers of Signaloid's compute engine
• Use your experience from application development to influence the teams improving the architecture and performance of Signaloid's compute engine
• Expand your role if desired, to include more customer-facing engagement with Signaloid's international partners

• All positions require you to write a cover letter (you can also substitute the cover letter for a snippet of code that will run on the signaloid.io platform; be creative!)
• We use the cover letter / code snippet to screen for communication skills, as clear communication is essential in a remote working environment
• Applicants who pass the cover letter screening receive an initial 15-minute Zoom screening call with a member of our People Development Team to discuss your CV
• Applicants who pass the screening interview will be asked to implement and point us to a public implementation on GitHub, for a problem we suggest and which the applicant implements themselves
• To keep the interview timeline compact, we suggest applicants provide the pointer to the public GitHub repository within two weeks, but we expect the applicants to spend no more than a few hours on the coding project
• As a token of our appreciation for your time however, we send you two popular books: Build and Remote
• Applicants who successfully complete the project are invited for a short interview session with people from our core teams
• In this session, you will speak with up to four technical team members who will use the project you completed as one of the discussion points
• In the final stage, applicants are invited for an on-site interview with members of the team in Cambridge, or a "virtual onsite" interview where a team from Signaloid will be at your disposal to implement a solution to a representative challenge you could face in the role