Thales people architect solutions that support 85 million mainline and suburban passenger journeys, worldwide, every day. Our Rail Signalling and Communication systems are used on metro lines across major cities, and 72,000 kms of route, 52,000 trains per day in 16 countries are controlled by our Traffic Management Systems. Together We deployed the first-ever nationwide ticketing system which processes over 50 million ticketing transactions in 100 cities daily.
Thales provides world-leading Communications-Based Train Control (CBTC) and interlocking for mass rail transit applications globally. The Centre of Competence for Urban Rail Signalling is located right before you at mid-town Toronto. As the largest office in Canada, we house a department for every step of the Software Development Lifecycle (SDLC)! This includes Software, Hardware, Systems Design, Verification & Validation, Operations, etc. The supporting corporate shared services teams in Finance, Human Resources and IT is also located at the office. Our office space was designed to provide a sustainable, healthy workplace that expresses TRSS’s brand while increasing collaboration. Features include Greenguard furniture, EnergyStar appliances, low-emitting adhesives, sealants, and sliding glass doors on internal offices provide daylight and views to the outside. Come join the big Transport family, here in Toronto!
As a research and technology (R&T) software analyst, you are expected to have a diverse skill set in terms of software implementation of advanced algorithms, mechanical and electrical design, and data analysis of prototype experimental platforms.
You will work as part of the System Integrations Team within the Research and Technology department to develop, build, test and evaluate the next generation of driverless, autonomous urban rail solutions for the mass transit market. You will be challenged to implement technology “proof-of-concepts” on revenue rail systems and support new product introduction for the global market.
The System Integration Team works with all components of a system including subsystem integration, sensor interfacing, algorithm implementation, and data collection and analysis. You will also be expected to support the Algorithms Team and Software Team of the R&T Department in the context of developing experimental platforms.
Key Responsibilities:
To support the design and implementation of a set of experimental ‘proof of concept’ prototype platforms
Design and build prototype hardware including mechanical structures and electrical interfaces
To participate in the analysis and modelling of complex, real-time, autonomous system use cases
Perform all phases related to algorithm development: model, compile, build, debug, simulation, testing, validation and documentation
To implement control algorithms, optimization algorithms, nonlinear Kalman Filters, computer vision, and other advanced algorithms in prototype or experimental test platforms with C/C++ in Linux
To develop, modify, or upgrade sensor drivers to support configurable field operation and data collection
Develop and configure communication networks to enable real-time sensor data collection and data transfer
To travel and support field integration, testing, and data collection of implemented prototype systems in revenue rail systems
Provides support to product team and other departments as required to help with engineering productization of new solutions
Analyzes and write system requirements using company standard methodology
Required Skills and Experience:
Bachelor’s degree or higher in Electrical & Computer Engineering, Mechatronics, Software Engineering, Computer Science or a related field
2-5 years of software development experience or equivalent
Strong knowledge with Python, C++, or embedded C and experience with data exchange formats such as .json, msgpack, and XML
Knowledgeable with source control tools such as GIT/Mercurial/SVN
Experienced Linux/Unix/POSIX system user with knowledge in Linux kernel
Knowledge of communication protocols, file systems, networking, and security
Hands on experience with mechatronics system design including mechanical and electrical subsystem design, construction, and integration with SW
Strong communication, organizational and problem-solving skills
Capability of writing professional technical reports and documentations to support engineering development
Willingness to perform field work and travel outside of Canada
Preferred Skills and Experience:
Experience with IMU, radars, cameras, LiDAR or other sensors is an asset
Theoretical knowledge in the field of optimization, state estimation, Kalman Filters, computer vision, or signal processing is an asset
Experience with real-time, safety critical systems is an asset
Experience with GPU acceleration using OpenCL or CUDA
Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.
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