Engineering Manager, Active Sensors – LiDAR

🕒 Outubro 8

🚗 Michigan, Texas, +1 estados a mais – Remoto

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

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 11%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Torc Robotics

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2007

🚘 Automotivo

📦 Logística

🚗 Transporte

Automotive • Logistics • Transport

A Torc Robotics é uma empresa inovadora focada na comercialização de caminhões autônomos para transporte de carga de longa distância. Como uma subsidiária independente da Daimler Truck, a empresa está desenvolvendo tecnologia autônoma, com foco principal no Freightliner Cascadia. A Torc está comprometida com o transporte seguro, melhorando continuamente suas soluções através de testes rigorosos e integração de sensores líderes da indústria. Ela colabora com empresas de gestão de frotas para implementar soluções autônomas no mundo real, com o objetivo de liderar a indústria de caminhões autônomos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo