Publié le mois dernier
Senior Elixir Full Stack Developer
@ Invision AI
Toronto, Ontario
En bref
Invision AI is hiring a Senior Full Stack Developer in Toronto to design and build cloud, edge, web and API systems for its computer vision and 3D digital twin products. The role covers machine learning, real-time video processing and front-end design. The posting states full-time employment with a competitive salary, equity, RRSP, health and dental benefits and 4 weeks of holiday.
Responsabilités :
- Own design and development of cloud and edge infrastructure, web apps and APIs
- Design and implement client-side and server-side architecture
- Recommend, implement and manage supporting infrastructure
- Build front-end applications through appealing visual design
- Prototype new features using cutting-edge technologies
Résumé des exigences :
- 5 years' experience deploying web applications
- Experience with Elixir and Phoenix LiveView
- Experience with Django or Ruby on Rails and relational databases
- Experience with Kubernetes, AWS or Google Cloud
- Solid understanding of web security practices
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-09-27
- Première détection par notre source
- 2026-10-16
- Mise à jour du dossier source
- 2026-10-16
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Régime de retraite, Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Invision AI
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
See And Understand The World
Description complète de l’entreprise
Massive amounts of data being created at the edge, uploading this data to the cloud for real-time analysis is neither financially nor technically feasible. Extracting meaning from this data is computationally intensive and expensive, limiting adoption of edge AI to a few high-value applications. After years of research by leaders in computer vision and machine learning we have developed technology that is two to three orders of magnitude more efficient than other high-accuracy deep learning systems. Our patent pending technology evolves the state of the art with a combination of optimization, sprinkled with unique insight and just a little magic. Video is our first application: the system is trained in the cloud by ingesting video where objects and activities of interest have been annotated. Learning is distilled into ultra-efficient software that runs on fixed, body-mounted and vehicle-mounted cameras. We can enable analytics on most professional IP video cameras with just a firmware update. Older cameras can be retrofitted with a low-power embedded processor, such as those from our partners NXP and Ambarella. Our software-only system gets smarter over time: edge cases (where the system is not very confident that it knows what is happening) are captured, uploaded to the cloud for analysis, and the learning distilled into ever smarter software. We work with more than just video: infrared, thermal, radar and lidar play important complimentary roles in helping to establish accurate, detailed situational awareness across a wide variety of environmental conditions. Each sensor detects, classifies and tracks multiple objects locally in real-time. This metadata is then push to the cloud, or a central ECU in the case of a vehicle, where it is fused to establish ground truth, detect behavior, track objects across multiple sensors, and identify anomalies.
- Abonnés LinkedIn
- 5 480
- Personnes associées sur LinkedIn
- 13
- Bureaux déclarés
- 2 Carlton St, Unit 1510, Toronto, Ontario M5B 1J3, CA
- Rue de Lausanne 64, c/o Fondation Inartis, Renens, Vaud 1020, CH
- 13140 W Star Dr, Shelby Township, Michigan 48315, US
- Catégories d’activité
- Facial Recognition
- Artificial Intelligence
- Software
- Enterprise Software
- Internet of Things
- Artificial Intelligence (AI)
- Computer Vision
- Autonomous Vehicles
- Machine Learning
- Autres noms enregistrés
- Invision AI
- Spécialités
- artificial intelligence
- machine learning
- computer vision
- autonomous vehicles
- IoT
- embedded systems
- smart cameras
- sensor fusion
- autonomous vehicles
- intelligent transportation systems
- traffic management
- deep learning
- edge AI
- and embedded systems
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 1 220 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Massive amounts of data being created at the edge, uploading this data to the cloud for real-time analysis is neither financially nor technically feasible. Extracting meaning from this data is computationally intensive and expensive, limiting adoption of edge AI to a few high-value applications. After years of research by leaders in computer vision and machine learning we have developed technology that is two to…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 11-50 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2017 |
| Spécialités | artificial intelligencemachine learningcomputer visionautonomous vehiclesIoTembedded systemssmart camerassensor fusionautonomous vehiclesintelligent transportation systems |
| Offres sur Jobsy | 8 |
| Voir la page |
We are looking for a Full Stack developer to join our Toronto team and help us take our products to the next level in connectivity and performance.
Our Company
Invision AI is building a universal AI platform for computer vision applications. Powered by a unique multi-camera stack that generates high-integrity 3D digital twins of dynamic environments, our technology powers disruptive, market-leading solutions in intelligent infrastructure and global
Transportation.
The Role
As a Senior Full Stack Developer, you will work on projects related to machine learning, image processing, and real-time video processing. You will develop solutions on different architectures (including embedded/small footprint, databases and cloud platforms), frameworks and third-party libraries. As a team player with a knack for visual design and utility, you will be a key participant in the next stage of our company’s expansion, gain experience in lean startup approaches in a constantly changing and growing environment and bring our products to the next level to reach new customers.
If you love designing and developing real-time distributed edge and cloud systems and want to have a strong impact on the future of mobility, keep reading.
What You'll Do
- Take ownership in the design and development of our cloud and edge infrastructure, web apps and APIs
- Design and implement client-side and server-side architecture
- Recommend, implement, and manage the supporting infrastructure for our different lines of products
- Build the front-end of applications through appealing visual design
- Prototype new features and innovative solutions using cutting edge technologies
- Write technical documentation
Requirements
Must Have
- 5-years' experience deploying web applications
- Experience with Elixir and Phoenix LiveView (Here an article about Elixir at Invision AI)
- Experience with another framework (Django, Ruby on Rails), and relational databases
- Familiar with Docker, Linux and web servers such as Nginx or Apache
- Experience with Kubernetes deployment (or similar distributed system)
- Experience withh AWS, Google Cloud or equivalent
- Experience in designing web applications with HTML, CSS and JavaScript
- Experience with modern Software Engineering principles and techniques such as Test-Driven Development and Continuous Integration
- Strong written and oral communication
- Solid understanding of web security issues and practices
Bonus Skills
- Knowledge of GIS, Leaflet/Mapbox, Web Canvas and PostGIS (our systems provide geo-referenced data)
- Experience deploying in virtualized environments
- Experience with NATS or similar
- Experience with Python and TypeScript
- Experience with efficient serialization and communication protocols (e.g. protobuf, gRPC)
- Familiar with data visualization and ML packages such as sklearn, pandas, seaborn and plotly
Benefits
- A Mission that Matters: The opportunity to work on projects that make the world safer and greener
- Excellence: A culture of very high technical standards where quality engineering is valued over quick hacks
- Technical Challenge: A wide variety of technology and tasks, including web development, distributed and edge computing, ML, real-time processing, and computer vision
- Growth Environment: Join an international team where your voice is heard and your impact is visible
- Compensation and benefits: Competitive salary package including equity, allowing you to share in the success you help build. Benefits: RRSP Plan, Health and Dental and 4 weeks holiday.
Journal
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