Internship
Software Engineering Internship
Canada
Posted on 2/1/2022
Invenia Labs
1-10 employees
ML-powered software optimizing electricity grid planning
No salary listed
Winnipeg, MB, Canada
 Software Engineering |
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 Data & Analytics |
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 UI/UX & Design |
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- Contribute to design discussions surrounding the core system
- Improve the computational performance of the system
- Aim to exceed user expectations, ensuring that usability, performance, and correctness are given equal consideration during design and development
- Review proposed code and provide feedback
- Contribute to open source packages
- Build the software components of the system, including software for:
- Expressing, distributing, and executing complex machine learning pipelines
- Complex data querying and preprocessing
- Asynchronous communication with other systems
- Utility packages supporting the above
- Experience in software engineering/development
- Strong communication skills, especially with regards to requirements gathering and documentation
- Ability to develop and/or deploy distributed applications
- Ability to learn quickly and propose new solutions to existing problems
- Containers (especially Docker)
- Cloud Computing (especially AWS)
Invenia Labs uses machine learning to optimize planning and distribution of electricity for utilities and grid operators. Its software forecasts generation and demand, optimizes dispatch, and balances the grid in real time while integrating with existing grid-management systems. By considering limited grid capacity and the difficulty of storing electricity, it helps reduce waste and lower costs, with environmental benefits. The company differentiates itself through a multidisciplinary team and a focus on seamless integration, aiming to improve reliability and cost efficiency of the power grid.
Company Size
1-10
Company Stage
Series A
Total Funding
$5M
Headquarters
Winnipeg, Canada
Founded
2006
Simplify's Take
What believers are saying
- Grid operators adopt predictive maintenance, leveraging Invenia's IoT-ML integration.
- Utilities modernize systems, favoring Invenia's seamless legacy analytics compatibility.
- Renewable integration demands real-time AI, matching Invenia's decision recommendations.
What critics are saying
- Google DeepMind's AI predicts renewables 20% better, eroding Invenia's models in 6-12 months.
- AutoGrid captures 25% market via DERMS, outpacing Invenia in 12-18 months.
- California ISO mandates APIs by 2027, excluding Invenia's platform with $5M retrofit.
What makes Invenia Labs unique
- Invenia links forecasting, pattern recognition, and optimization for real-time grid decisions.
- Cloud platform integrates with legacy systems for utility operational simplification.
- Multidisciplinary team applies AI, quantum theory to electricity market challenges.
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Company News
where x is the vector of grid parameters and y is the vector of optimization variables, f ( x, y ) is the objective (or cost) function to minimize, subject to equality constraints c i E ( x, y ) ∈ C E and inequality constraints c j I ( x, y ) ∈ C I, where for convenience Invenia Technical Computing Corporation introduced C E and C I that denote the sets of equality and inequality constraints with corresponding cardinalities n = | C E | and m = | C I |.
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