
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 2 minutes ago
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First seen by Remote Rocketship 2 minutes ago
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Integrate and adapt NVIDIA DRIVE Active Safety software on customer development and production vehicles • Triage and analyze issues across the active safety chain, from sensor input through perception and fusion to maneuver behavior • Collaborate with customer teams and NVIDIA engineering teams across Europe, the US, APAC, and India to identify root causes and deliver program-level solutions • Configure and tune active safety software for different vehicle platforms, sensor configurations, vehicle geometries, and braking performance • Implement targeted C++ or Python adaptations, debugging tools, and analysis workflows to resolve customer integration and functional issues • Measure functional performance through recorded-data replay and in-vehicle testing • Communicate findings to customers and NVIDIA engineering teams • Work on vehicle bring-up, software flashing, data logging, testing, and functional validation
• At least 8+ years of experience in ADAS development and triage, including in-vehicle activities • Strong understanding of Active Safety functions from concept to validation, including hazard mitigation and functional safety principles • Experience designing and implementing threat assessment algorithms, including time-to-collision (TTC) • Hands-on development of longitudinal and lateral intervention planners, translating threat assessments into smooth, physically feasible braking and steering commands • Strong understanding of radar and camera perception outputs, including object confidence and classification uncertainty • Proficiency in Linux and/or QNX-based embedded environments • Ability to systematically isolate issues using log analysis, data review, and cross-functional technical coordination • BS/MS in Computer Science, Electrical, or Automotive Engineering (or equivalent practical experience) • Excellent communication skills • Valid driver’s license and readiness for road testing and travel • Experience with active safety software or related perception, fusion, planning, or controller work • Production experience with camera- and radar-based active safety systems • Experience integrating ADAS software into customer vehicle platforms and supporting automotive series programs • Experience with commercial vehicles and commercial-vehicle-specific active safety regulations • Deep understanding of Euro NCAP protocols, including scoring optimization for Safe Driving and Crash Avoidance stages • Experience with data-driven development loops, fleet-data triage, corner-case analysis, and feedback to model-training teams • Hands-on experience with AI/ML workflows and deep neural network development or integration
• Competitive compensation • World-class benefits
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