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Technical Specialist – Software

Thales Group

This is a Contract position in Hamilton, ON posted June 7, 2021.

Location: Toronto, CanadaThales 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) Specialist you are expected to have a diverse skill set in terms of software implementation of advanced algorithms, mechanical and electrical design, fusion algorithms, machine learning, big data, and data analysis of prototype experimental platforms.

You will work as part of the Software 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.

Key Responsibilities: 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 Perform prototyping in simulation environments and with “proof of concept” platforms Develop scripts for parsing, filtering collected data and perform analysis of large datasets 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 Provides support to product team and other departments as required to help with engineering productization of new solutions Analyzes and write software requirements using company standard methodology Support inputs for overall design solution to product definition including system architecture, failure mode analysis and system redundancy for R&T projects; Contribute to the overall architecture design of the next generation automated train solution; Perform all phases as related to algorithm development: model, compile, build, debug, simulation, testing, validation and documentation; Use and setup tools and systems for data collection and evaluation of large datasets.

Experience with ‘big data’ algorithms is an asset; Analyze control system dynamics, parameters and models to generate reports.

Prepares reports, giving findings on problems; Provides support to product team and other departments as required to help with productization of new solutions; Analyzes and write requirements using Company standard methodology; Keeps abreast of relevant technology developments as related to the R&T project; Comfortable in an Agile work methodology; Assists in providing leadership and motivation to staff Required Skills and Experience: PhD or Masters in Electrical or Computer Engineering, Computer Science, Robotics or a related field More than 5 years of coding with C/C++, Python, and Bash Preferred Skills and Experience: Experienced Linux/Unix/POSIX system developer with knowledge in Linux kernel Knowledge of communication protocols, file systems, networking, and security Knowledgeable of object oriented techniques, design patterns, multithreading, socket programming Proficiency with a least one scripting/productivity language (python preferred), and experience with data exchange formats such as .json, msgpack, and XML.

Knowledgeable with source control tools such as GIT/Mercurial/SVN Working knowledge of modern software engineering practices, methods & tools Strong communication, organizational and problem-solving skills Capability of writing professional technical reports and documentations to support engineering development Database experience, both design and usage.

SQL language and relational databases.

Expertise in one or more of the following: Deep Learning, Computer Vision and Machine Learning Experience with algorithms for object detection and classification, fusion, control systems Strong knowledge in Kalman Filters, Extended Kalman Filters, and Particle Filters Strong communication, organizational and problem-solving skills Experience with safety critical systems an asset Knowledge of railway signaling techniques would be an asset Experience with real-time, safety critical systems is an asset Experience with GPU acceleration using OpenCL or CUDA Experience with IMU, radars, cameras, LiDAR or other sensors is an asset Knowledge of C#, SQL Cloud Computing experience: Kibana, Grafana, Postgres, Docker, and Jenkins are all assets Experience with microcontrollers and ARM processors Theoretical knowledge in the field of optimization, controls, computer vision, or signal processing is an asset Thales is committed to a diverse and inclusive workplace for all.

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.