Systems & Controls Engineer
Sensmetry is seeking a talented individual for the role of Systems & Controls Engineer. This is a position focused on the technical aspects of systems analysis, modelling and controls design for safety and mission-critical cyber-physical systems. The main domains of application include aerospace, land, and marine vehicles.
The candidate will contribute their systems engineering, modelling, and analytical skills to a range of R&D projects at Sensmetry, for both external consulting projects and internal product development. A genuine interest in systems & controls engineering, mathematical modelling, and autonomous systems is crucial for the candidate to continue to deepen the knowledge and expand their skillset in these areas. Moreover, the candidate is expected to help on technical writing & communication tasks.
Though the position is multi-disciplinary, requiring appropriate experience and flexibility, it is understood that the candidate might wish to narrow focus and specialize more in one particular area of knowledge as the company continues to grow, develop and diversify.
Proven curiosity and eagerness
- To follow and apply new relevant systems engineering methods and technologies, especially in the autonomous systems, safety-critical systems & mission-critical systems domains.
- ‘Throw anything at me’ attitude (i.e. flexibility to work on a range of topics outside their main competence area and learn in the process).
- Eagerness to contribute to the company mission (see Manifesto).
Education and skills
- Bachelor’s Degree or higher in one of the domains of Physics, Systems Engineering, Mechanical Engineering, Electronics / Electrical Engineering or related fields
- Knowledge of foundational systems & controls engineering concepts, technologies, and topics, as well as to possess practical controls development skills and toolchain knowledge, including experience with MATHWORKS toolchain of Matlab, Simulink and Stateflow.
- Knowledge of at least one of the following controls engineering methodologies: Model Predictive Control, LQR, or Classical Control Theory.
- Fluent written and spoken English.
Advantages (not mandatory)
- Master’s Degree or higher in one of the domains of Physics, Systems Engineering, Mechanical Engineering, Electronics / Electrical Engineering or related fields.
- Knowledge of SysML and Cameo Systems Modeller or other MBSE tools.
- Knowledge of model-based controls and software development.
- Knowledge of Failure Modes and Effects Analysis methodology and standards.
- Familiarity with C/C++ or Python.
- Embedded software development.
More broadly, familiarity or experience with any of the following – engineering science, software, control theory, robotics, electronics, physics, mathematics, logic, machine learning, statistics, information organization and/or management practices – is considered a great asset.
- R&D consulting & development on client projects
– Model Based Systems Engineering analysis and development;
– Control & monitoring systems modelling & development.
- Internal product development work
– Iterative ‘build, test & learn’ approach;
– System modelling & conceptualization.
- Additional responsibilities may include
– Technical writing & communication;
– Information & project organization.
- Project management & organizational skills.
- Full-time employment with a standard 40-hour work week.
- Competitive salary compensation.
- Individual competence development budget (both time and financial resources).
- Semi-annual employee review process, incl. salary revision.
To apply get in touch with us at firstname.lastname@example.org