Postuler

Publié il y a 4 jours

Staff Engineer Physical AI Systems

@ Renesas Electronics

Ottawa, Ontario

HybrideTemps plein6+ ans d’expérience
Postuler
SIGNAUX

En bref

Renesas Electronics is hiring a Staff Engineer for Physical AI systems in its Pathfinding Studio, working on humanoid and industrial robotics. The role covers hardware and mechanical design, learning-based robot control, simulation and sim-to-real validation, and neuromorphic computing evaluation. The posting requires a Master's degree with six years of experience, or a PhD with three years, and offers a competitive benefits package with salary, with more details provided during hiring.

Responsabilités :

  • Develop Physical AI technology for humanoid and industrial robots
  • Design and validate humanoid hardware and mechanical subsystems
  • Build and evaluate learning-based perception, planning and control
  • Develop virtual system models and lab robotics infrastructure
  • Evaluate neuromorphic and ultra-low-power computing for robots

Résumé des exigences :

  • Master's degree with six years of experience, or PhD with three years
  • Experience with Isaac Sim, MuJoCo or similar simulators
  • Mechanical CAD and PCB design experience
  • Learning-based robotics methods such as imitation learning and reinforcement learning
  • Strong Python and C/C++ skills
  • Neuromorphic computing knowledge considered an advantage

Outils et compétences

Source et dates

Site carrière / système de candidatures · smartrecruiters

Date publiée par l’employeur
2026-11-06
Première détection par notre source
2026-11-07
Mise à jour du dossier source
2026-11-07

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

Détails du poste

NiveauSenior
DomaineGénie
Expérience6 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailLaboratoire, Bureau
PositionAssis et debout
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationMaîtrise (exigé), Doctorat (préféré)
Domaines d’étudesRobotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science

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

Renesas Electronics

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.

Description complète de l’entreprise

Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’

Abonnés LinkedIn
435 804
Personnes associées sur LinkedIn
10 975
Bureaux déclarés
  • TOYOSU FORESIA, 3-2-24, Koto-ku, Toyosu, Tokyo 135-0061, JP
Catégories d’activité
  • Electronics
  • Service Industry
  • Network Hardware
  • Consulting
  • Software
  • Communications Infrastructure
  • Telecommunications
  • Printing
  • Autonomous Vehicles
  • Manufacturing
  • Semiconductor
  • Search Engine
  • Hardware
  • Retail
Autres noms enregistrés
  • Renesas Electronics
Spécialités
  • High Performance Computing
  • Analog & Connectivity
  • Embedded Processing
  • Power
  • Automotive solutions
  • Industrial solutions
  • Infrastructure solutions
  • IoT solutions
  • ADAS
  • Microcontrollers MCU
  • and Semiconductor Design and Manufacturing
Le profil indique une agence de recrutement
Non
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High…

ChampValeur
SecteurSemiconductor Manufacturing
Taille10,001+ employees
Siège socialKoto-ku, Toyosu, Tokyo
Type d’organisationPublic Company
SpécialitésHigh Performance ComputingAnalog & ConnectivityEmbedded ProcessingPowerAutomotive solutionsIndustrial solutionsInfrastructure solutionsIoT solutionsADASMicrocontrollers MCU
Offres sur Jobsy2
LinkedInVoir la page
Description

Job Description

We are seeking a Staff Engineer (Physical AI - System Engineering) to join the Pathfinding Studio within the Engineering Innovation Office. In this role, you will develop and validate technologies related to Physical AI systems models and dataflow for humanoid and industrial robotics. The role combines hands-on design, virtual and hybrid system modeling, algorithm–hardware co-design, experimental validation, and cross-disciplinary collaboration to achieve project milestones.

Responsibilities:

· Contribute to Physical AI related technology development for humanoid and industrial robotics, translating requirements into hardware, mechanical, compute, and software design choices.

· Design, prototype, integrate, and validate humanoid hardware and mechanical subsystems, including articulated hands and arms, actuator and sensor integration, and electromechanical interfaces.

· Develop and evaluate learning-based perception, planning, control, and manipulation workflows, including foundation models, vision-language-action models, imitation learning, and reinforcement learning as appropriate to project objectives.

· Develop and maintain virtual system models and robotics hardware and software infrastructure for the lab environment.

· Evaluate and prototype neuromorphic and similar ultra-low-power computing approaches for humanoid sensing, perception, and control; integrate candidate computing platforms into system demonstrations.

· Develop and apply best practices for reproducible simulation, data collection, training, and evaluation; investigate complex failure modes through in-depth analysis of variable factors and validate sim-to-real transfer against system requirements.

Qualifications

· Six years of related research and engineering experience with a Master’s degree, or three years with a PhD, demonstrating specialized depth and/or breadth of expertise and recognition as a technical expert within a team or department.

· Strong foundation in mathematics, physics, and robotics, including kinematics, dynamics, perception, planning, control, grasping, manipulation, and contact-rich interaction.

· Hands-on experience with NVIDIA Isaac Sim, MuJoCo, or comparable physics-based simulation and virtual system modeling platforms, including validation against physical hardware.

· Hands-on experience with mechanical CAD and electronic subsystem and PCB design and tools targeting robotics.

· Experience with learning-based robotics methods, such as foundation model adaptation, vision-language-action models, imitation learning, reinforcement learning, or generative and world models.

· Experience with simulation and real-world data collection, data quality, reproducible evaluation, and sim-to-real workflows; strong Python and C/C++ development skills in embedded, and distributed CPU-, or GPU-based environments.

· Experience with electromechanical integration, actuator and sensor selection and sensor modeling, and evaluation of mechanical constraints for articulated hands, arms, or other humanoid mechanisms.

· Knowledge in Neuromorphic and in-memory computing and modeling considered an advantage.

· Ability to measure and analyze system-level trade-offs in power and energy consumption, latency, compute resources, thermal behavior, and task performance.

· Experience translating algorithms into hardware implementations and collaborating with electronics, system architecture, RTL design, and verification teams; digital ASIC design and verification experience is an asset.

Education:

Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science or a closely related field is the minimum educational requirement.

PhD in a relevant field is preferred.

Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

Export Control Compliance Condition

Renesas Canada must at all times comply with U.S. and Canadian export control legislative requirements. Current U.S. export control laws require that Renesas Canada obtain a U.S. government export license prior to employing persons in positions with access to certain technology. All positions at Renesas Canada have direct or indirect access to this technology. As a result, it is necessary for Renesas Canada to determine if it would need an export license for new employees. To do so, we ask all candidates for employment whether their most recent country of citizenship or permanent residence is one of the countries specified in the export controls laws or regulations.

Renesas recognizes that you are entitled to human rights and privacy protections in the workplace and takes these obligations seriously. As such, we want you to know that your decision to complete the export control questions is entirely voluntary. Regrettably, should you choose not to complete these questions, we cannot consider you for employment because doing so would jeopardize our ability to comply with the applicable export controls laws. Should you choose to complete the questions, we will use the information collected only to determine if we would need an export license to employ you and not for any other purpose.

Successful candidates must be eligible to meet the requirements of U.S. export control regulations, including (if applicable) the issuance of any required export license prior to starting employment at Renesas Canada. The decision whether to or not to file or pursue an export license application is at the sole discretion of Renesas Canada.

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