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Publié il y a 14 jours

Firmware & Machine Learning Engineering Intern (16 Months)

@ Applanix Corporation

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Richmond Hill, Ontario

Sur placeTemps plein
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SIGNAUX

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Applanix Corporation is hiring a 16-month Navigation and Machine Learning Engineering Intern in Richmond Hill, Ontario, starting May 2027. The intern implements machine learning and develops firmware for real-time navigation systems, working in an agile team on Applanix APX/AP+ products. The role is in-office with no travel required.

Responsabilités :

  • Develop machine learning features for APX/AP+ navigation firmware
  • Debug and implement algorithms for real-time systems
  • Collect and structure datasets for navigation model improvements
  • Write technical documentation for system integration

Résumé des exigences :

  • Enrolled in a Bachelor, Master or PhD engineering or computer science program
  • Experience with Google Tensor and Python
  • Practical TinyML deployment in MCU environments
  • Kalman filtering and machine learning expertise
  • C/C++ in real-time and Linux environments

Outils et compétences

GitJiraGoogle TensorTinyMLLinuxPythonC/C++
Source et dates

Site carrière / système de candidatures · workday

Date publiée par l’employeur
2026-10-26
Première détection par notre source
2026-10-23
Mise à jour du dossier source
2026-11-04

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauDébutant
DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (exigé), Doctorat (exigé)
Domaines d’étudesElectrical Engineering, Computer Engineering, Computer Science, Aerospace Engineering, Mechatronics Engineering

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Applanix Corporation

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ChampValeur
Offres sur Jobsy9
Description

Shape the Future of Autonomous Systems: Navigation & Machine Learning Engineering Intern (16 Months)

Apply your knowledge of machine learning technologies to cutting edge products and tackle complex engineering challenges. Joining Trimble Applanix, you will gain hands-on experience developing advanced firmware for real-time navigation systems while collaborating with a high-performing engineering team.


What Makes This Role Great:

In this role, you will be at the forefront of implementing cutting edge machine learning algorithms directly into navigation firmware, directly influencing system performance and shaping the future of autonomous positioning technology.


Key Exciting Responsibilities

  • Take part in machine learning development activities related to Trimble Applanix APX/AP+ firmware.
  • Drive critical engineering activities including debugging, data analysis, and algorithm implementation for real-time systems.
  • Develop software using industry standard development tools such as GIT and JIRA within an agile team framework.
  • Collect, structure, and organize high quality datasets to power continuous navigation model improvements.
  • Produce comprehensive technical documentation to support system level integration and ongoing development.

Essential Skills & Experience

  • Enrolled in a Bachelor, Masters or PhD program in Electrical Engineering, Computer Engineering, Computer Science, Aerospace Engineering, or Mechatronics Engineering.
  • Demonstrated experience with Google Tensor Python development.
  • Practical experience with TinyML library deployment in MCU environments.
  • Strong technical expertise in Kalman filtering and machine learning techniques.
  • Fluent software development skills using C/C++ languages in real-time and Linux environments.

Bonus Points For

  • Knowledge of system level integration and multi-component hardware/software development.
  • Proven ability to multi-task effectively in a dynamic, highly agile environment.
  • Strong presentation skills and ability to communicate technical findings clearly.

Logistics:

Location: Richmond Hill, Ontario (In-Office)

Travel Requirement: 0%

Start Date: May 2027


Why You'll Love Working With Us

At Trimble, we're not just a company that "does good"—we are a team dedicated to making a tangible, positive Real-World Impact.

We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.

  • You'll work on projects that truly matter: Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste.
  • Collaborate with like-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We're a company of "visionary pragmatists" who think boldly and build things that work.
  • Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."

Navigation Engineering, Machine Learning Intern, TinyML, Kalman Filtering, C++, Python, Linux, Firmware Development, MCU, Applanix

How to Apply: Please submit an online application for this position by clicking on one of the Apply buttons located in this posting.

Join a Values-Driven Team: Belong, Grow, Innovate.

At Trimble, our core values of Belong, Grow, and Innovate aren't just words—they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.

Candidate Privacy Notices by Country

If you need assistance or would like to request an accommodation in connection with the application process, please contact [email protected].

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