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Senior Software Engineer
Job Viewed
Job Description
Full-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (3 days per week)
170 Laurier Ave West, Suite 310
Ottawa, ON K1P 5V5,
and, Ottawa-based Home Office (2 days per week)
Reporting To: Team Leader, Software Engineering
We are looking for an enthusiastic, self-motivated individual to join the Larus team as a Software Engineer. Our Software Engineering team is currently developing end-to-end real-time solutions for the public safety and security industries. This includes data interfacing, collection, aggregation, display, exploitation, and fusion functionalities. As a member of the Software Engineering team, you will design and develop software modules within an existing product. You should expect to work on a wide variety of software problems and learn and apply new skills.
Key Responsibilities:
- Design and implement scalable, distributed software systems;
- Design, develop, integrate, and test software modules and systems;
- Advocate high-quality and best-practices in software design and development;
- Interface development for various protocols, data formats and logical connections;
- Close interaction with other team members on system integration and validation;
- Participate in all aspects of the software development process including planning, retrospectives, and demos;
- Meeting assigned goals with the team and releasing deliverables to stakeholders and customers; and,
- Other duties as assigned.
- University degree in Computer/Software Engineering, Computer Science or other related Engineering degree;
- 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);
- 7-10+ years of direct experience in design, development, deployment, and verification of software, with at least 2-3 years in Java;
- Experience with creating software documentation and other forms of technical writing;
- Experience in developing and debugging high-performance software;
- Experience in security-oriented software design principles;
- Experience in designing REST APIs;
- Experience with databases, including SQL and document stores;
- Experience using source control such as Git and build tools such as Gradle;
- Experience with different OS (Windows, Linux);
- Experience in one or more virtual machines, Kubernetes, containerization, cloud platforms;
- Excellent computer and manual problem analysis, evaluation, and resolution skills;
- Strong organizational and problem-solving skills;
- Passion for learning and solving complex problems;
- Strong communication skills;
- Experience in Continuous Integration and Continuous Deployment (CICD) Systems;
- Organized and focused; and,
- Ability to work in a dynamic, fast-paced work environment;
- Experience with shell scripts;
- Experience with object-oriented design;
- Experience with Python, JavaScript and TypeScript;
- Design diagram creation (UML, flowcharts, dataflow diagrams, etc);
- Knowledge of cyber security best practices;
- Concurrent, message-driven, distributed applications;
- Large dataset processing and analysis;
- Knowledge of computer networking;
- Provide guidance and mentorship and lead technical discussions;
- Use or develop GIS software; and
- Develop automated testing tools or define test cases.
- Competitive compensation package
- Comprehensive Health and Dental insurance package
- Competitive vacation and paid time off
- Company-sponsored team-building events
- Learning and development opportunities
About Larus
Based in Ottawa, Canada, Larus Technologies ( is a software company specializing in Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core business lines: Data Fusion and Analytics, Data Science, and Research and Engineering. Larus software products include the patented Total::Insight DSS, the Total::Perception Systems Simulation Engine (SSE), and the Total::Vision Video Analytics Solution (VAS). Our Data Science and Engineering Consulting focuses primarily on Retail, Supply Chain Management, Public Safety, and Defence, while Research and Engineering focuses on innovations in advanced AI/ML across industries. Larus is renowned for its ability to solve complex customer challenges that require multi-sensor data collection, aggregation, exploitation, fusion, and analytics. Larus is ISO27001:2002 certified.
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 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 don’t hesitate to contact Larus at to discuss arrangements.
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Senior Software Engineer (Architecture)
Posted today
Job Viewed
Job Description
Job Description
About the Company:
Our client is a company building the world's highest- performance pure digital AI inference chip.
They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency.
Responsibilities:
- Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures.
- Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators.
- Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption.
- Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry.
- Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products.
- Work closely with other software and hardware engineers to develop the next generation of deep learning software.
- Collaborate with architects and hardware engineers to co-design future accelerators.
Preferred Skills & Experience:
- 10+ years of experience developing software for a variety of highly parallel architectures.
- Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs.
- Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity.
- Understanding of Deep Learning fundamentals.
- Strong development skills in C/C++, Python.
- Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority.
- Computer Science, Engineering, or related degree; preferably MS or PhD.
- Driven and self-directed.
Perks:
- 20 vacation days
- Strong health and extended health benefits
- Unlimited sick days
- Stock options
Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.
Senior Software Engineer (Architecture)
Posted today
Job Viewed
Job Description
Job Description
About the Company:
Our client is a company building the world's highest- performance pure digital AI inference chip.
They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency.
Responsibilities:
- Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures.
- Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators.
- Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption.
- Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry.
- Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products.
- Work closely with other software and hardware engineers to develop the next generation of deep learning software.
- Collaborate with architects and hardware engineers to co-design future accelerators.
Preferred Skills & Experience:
- 10+ years of experience developing software for a variety of highly parallel architectures.
- Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs.
- Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity.
- Understanding of Deep Learning fundamentals.
- Strong development skills in C/C++, Python.
- Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority.
- Computer Science, Engineering, or related degree; preferably MS or PhD.
- Driven and self-directed.
Perks:
- 20 vacation days
- Strong health and extended health benefits
- Unlimited sick days
- Stock options
Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.
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