Senior Pipeline Engineer responsible for designing, building, and maintaining studio pipeline and artist-facing tools across web, desktop, and in-engine surfaces.
Locations (2)
Latin America
Europe
Responsibilities
Design, build, and maintain the studio's pipeline and artist-facing tools: launchers, publishers, loaders, review and notes tools, and the interfaces artists use daily.
Build the front-ends for those tools across our surfaces: web (TypeScript/JavaScript), Qt/PySide desktop UIs, and in-engine tools in Unreal, with an emphasis on interfaces that are fast, responsive, and a pleasure to use.
Develop and maintain integrations with Maya, Unreal, and Nuke through their Python APIs, and with Perforce, on Windows.
Work within and extend our AYON-based pipeline.
Build AI-assisted features into the pipeline tooling.
Trader d'énergie junior, point d’entrée vers le trading d’électricité avec exposition aux fondamentaux du marché, opérations quotidiennes et projets analytiques.
Responsibilities
Analyser les dynamiques d’offre et de demande
Comprendre la congestion et les contraintes de transmission
Surveiller des lignes spécifiques et des indicateurs clés
Identifier et interpréter les anomalies de marché
Développer des outils analytiques
Requirements
Master's degree in Finance, Actuarial Science, Engineering or related field
Conduct original research in embodied AI, robotic manipulation, and world modeling—including perception, planning, and control.
Compensation
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, or relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.
Responsibilities
Conduct original research in embodied AI, robotic manipulation, and world modeling—including perception, planning, and control.
Develop and evaluate large-scale multimodal models that integrate vision, language, proprioception, and tactile inputs for real-world robotic tasks.
Create and prototype algorithms for dexterous robotic hands, contact-rich manipulation, and adaptive task generalization.
Explore methods for sim-to-real transfer, self-supervised physical interaction learning, and reinforcement learning in dynamic environments.
Collaborate with hardware and systems teams to translate research into real robotic systems—from simulation to physical deployment.
Requirements
Master’s or Ph.D. in Robotics, Computer Science, Artificial Intelligence, Mechanical/Electrical Engineering, or related fields.
Nice to have: Ph.D. (or Ph.D. candidate expecting graduation within 6–12 months).
Nice to have: Track record of publications in top AI or robotics conferences (CoRL, ICRA, IROS, RSS, NeurIPS, CVPR, ICML).
Lead the architectural design and strategic vision for hybrid inference systems, manage a team of AI engineers, and drive the overarching technical roadmap for AI systems.
Compensation
The US base salary range for this full-time position is $192,100.00 - $249,600.00.
Responsibilities
Architect the Hybrid AI Vision: Lead the architectural design and strategic vision for hybrid inference systems, dynamically distributing Large Language Model (LLM) and Vision-Language Model (VLM) workloads across edge computing environments and cloud infrastructure.
Team Leadership & Innovation: Lead, mentor, and inspire a team of specialized engineers working across distributed systems orchestration, inference optimization, and AI compiler engineering.
Design Dynamic Orchestration & Resilience: Oversee the architecture of high-availability orchestration engines that intelligently route inference tasks.
Guide the team in developing cascading inference mechanisms, dynamic model fallback strategies, and robust telemetry to ensure continuous, steady-state inference under varying connectivity constraints.
Requirements
Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, or a related field
Master’s degree with 12+ years of experience
Nice to have: Privacy-preserving AI techniques
Nice to have: Federated Learning
Nice to have: Differential Privacy
N
Sr. Staff Performance Tuning Engineer - CPU PMU & Virtualization
As a Performance Intern within Hardware Engineering, you'll work on the modeling backbone used to predict and validate Seaglider performance for both vehicle development and day-to-day operations.
Junior Power TraderNewMcGill St Laurent · Montreal, Canada
Defense Team - Business Development Co-Op (Spring 2027)NewREGENT · North Kingstown, US
Senior Analyst, Business IntelligenceNewLG Ad Solutions · Bangalore, India