Engineering Manager, Active Sensors – LiDAR

🕒 vor 22 Tagen

🚗 Michigan, Texas, +1 weitere Bundesländer – Remote

🚗 Michigan – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👮‍♀️ Leiter Softwareentwicklung

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 11%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Torc Robotics

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2007

🚘 Automobilindustrie

📦 Logistik

🚗 Transport

Automotive • Logistics • Transport

Torc Robotics ist ein innovatives Unternehmen, das sich auf die Kommerzialisierung selbstfahrender Lkw für den Fernverkehr spezialisiert hat. Als unabhängige Tochtergesellschaft von Daimler Truck entwickelt das Unternehmen autonome Technologien, mit einem besonderen Fokus auf den Freightliner Cascadia. Torc setzt sich für sicheren Transport ein und verbessert kontinuierlich seine Lösungen durch rigorose Tests und die Integration von branchenführenden Sensoren. Es arbeitet eng mit Flottenmanagementunternehmen zusammen, um praxisnahe autonome Lösungen einzuführen, mit dem Ziel, die Branche im autonomen Lkw-Bereich anzuführen.

Beschreibung

• Lead, coach, and develop a team of machine learning and software engineers, including hiring, performance management, career development, and continuous feedback • Set technical direction, roadmap, and priorities for active-sensor perception • Own development and delivery of multitask models for object detection, road and lane detection, and free-space estimation using lidar and radar data • Guide architecture and design decisions involving shared backbones, task-specific representations, sensor fusion, temporal modeling, uncertainty estimation, and perception-task interactions • Ensure improvements do not introduce unacceptable regressions in other tasks or downstream system behavior • Define strategies for consistent perception performance across adverse weather, changing conditions, sensor degradation, and sensor failures • Drive designs supporting graceful degradation when sensor inputs are missing, degraded, delayed, or unreliable • Own delivery across the machine learning lifecycle, from data requirements and model development through experimentation, evaluation, integration, release, and monitoring • Ensure training and evaluation datasets provide sufficient quality and coverage across operating conditions, geographic features, rare events, adverse weather, and sensor-failure modes • Establish task-level and system-level metrics, benchmarks, and failure-analysis practices • Review technical designs, model architectures, experimental results, training artifacts, and verification evidence • Collaborate with multimodal perception, prediction and planning, data, infrastructure, simulation, sensor hardware, embedded platforms, systems engineering, and safety teams • Track execution and communicate progress, risks, dependencies, and staffing needs to senior leadership • Maintain engineering standards through design reviews, code and model reviews, reproducible experimentation, and release-readiness criteria

🎯 Anforderungen

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or related field with 6+ years of professional experience, or a master's degree with 4+ years of experience • 2+ years of experience leading and managing engineers, including coaching, performance management, and career development • Strong technical foundation in machine learning and computer vision, including 3D geometry, model evaluation, uncertainty, and perception failure modes • Experience developing and deploying production machine learning systems for autonomous driving, robotics, or another real-world application • Experience with multitask learning, object detection, road and lane detection, or 3D occupancy estimation • Strong understanding of lidar sensing, including scan patterns, reflectance, FMCW lidar, and sensor time synchronization • Experience across the machine learning lifecycle, including data curation, model training, controlled experimentation, offline evaluation, system integration, and production validation • Experience analyzing data distributions, dataset coverage, long-tail scenarios, and the relationship between training data and model performance • Strong proficiency in Python and PyTorch, with practical experience using C++ in production perception or machine learning systems • Experience deploying and optimizing deep learning models using TensorRT • Strong understanding of embedded computing platforms and real-time perception system constraints • Experience defining technical roadmaps, planning complex machine learning projects, managing cross-functional dependencies, and delivering against program milestones • Strong written and verbal communication skills, with the ability to explain technical decisions, results, tradeoffs, and risks to technical teams and senior leadership • Bonus: PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field • Bonus: Experience with NVIDIA libraries and frameworks such as CUDA, CuDNN, CuBLAS, NPP, and custom TensorRT operations • Bonus: Publications, patents, or open-source contributions in machine learning, computer vision, robotics, or autonomous driving

🏖️ Vorteile

• A competitive compensation package that includes a bonus component and stock options • 100% paid medical, dental, and vision premiums for full-time employees • 401K plan with a 6% employer match • Flexibility in schedule • Generous paid vacation available immediately after start date • Company-wide holiday office closures • AD+D and Life Insurance • Potential sign-on payments, relocation, and other forms of compensation may be provided as part of the total compensation package

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