Machine Vision Software Developer

Full-time: 37.5 Hours per week, Monday to Friday

Location: Hybrid (Home Office in Ottawa/Ottawa Larus Office at 170 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5)

We are looking for an enthusiastic, self-motivated individual to join the Larus team as a Machine Vision Software Developer. In this role, the successful candidate will work within a high-performing team focused on bringing our new offerings to market. In this role, you will work on a scalable machine vision and machine learning pipeline. You will be expected to learn a variety of new technologies and skills and apply them to non-trivial problems to generate solutions that will deliver value to customers.

Key Responsibilities:

• Other duties as assigned.
• Research machine vision and machine learning techniques and algorithms as directed;
• Record and document work;
• Product prototyping and development;
• Implement feature requests and bug fixes;
• Interact with data scientists and senior developers in regards to assigned work;
• Implement required tests;

Requirements and Qualifications: We know that some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies we are looking to welcome skilled individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every single qualification, we encourage you to apply anyway.

• Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada).
• Organized and focused; and
• Ability to work in a dynamic, fast-paced work environment;
• At least two years of experience in one or more object-oriented programming languages, such as C++, Python, or Java;
• Strong communication skills;
• A college diploma in Software Development, or an undergraduate degree in math, computer science or engineering. Advance degree (Masters/Ph.D.) in a related field would be considered an asset;
• Ability to perform light physical tasks;
• Passion for learning and solving complex problems;

The following skills and experience will help a candidate succeed in this role. Working knowledge of:

• Containerized Applications and Kubernetes
• Source control and pull requests
• Using command line tools under Linux or Windows
• Using a NoSQL database, such as Elasticsearch or MongoDB
• Building multi-threaded applications
• Using a SQL database
• A CI tool such as Jenkins or Azure Pipelines
• Build tools such as CMake or Gradle
• OpenCV
• Python
• C++

Benefits

• Company-sponsored team-building events;
• Competitive compensation package
• Learning and development opportunities.
• Comprehensive Health and Dental insurance package;
• Competitive vacation and paid time off;

About Larus

Larus Technologies Corporation (http://www.larus.com) is an Ottawa-based software product and research company with capabilities in developing intelligent systems and engineering simulations primarily for business, defence and security applications. Larus has three core business areas: Data Analytics and Fusion Solutions, including the Total::Insight™ Decision Support System and the Total::Perception™ Systems Simulation Engine, Software Engineering Services, primarily in the public security and defence sectors, and Research and Engineering, focusing on innovations in computational intelligence and data analytics in various sectors.

We invite enthusiastic and qualified applicants to submit a resume and cover letter explaining why they are uniquely qualified for this position.

We thank all applicants; however, only those selected for an interview will be contacted.

At Larus we celebrate diversity and are committed to creating an inclusive environment for all employees.

Larus has an accommodation process in place and provides accommodations for applicants with disabilities. If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please contact Larus at [email protected] to discuss arrangements.