Senior Context Fusion AI Engineer - Autonomous Vehicles

NVIDIA
Santa Clara, Redmond, Seattle, Nevada
Full timeUSD 184,000 - 356,500 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Cross-functional collaboration","Problem-solving","Analysis","Debugging","Delivery to deployment"]

Build learning-based multimodal sensor-fusion systems for L3/L4 autonomous driving, creating a unified 3D/4D world model that fuses navigation context, ego-motion, perception, and sensor signals. Lead architectures and end-to-end multi-task models across cameras, LiDAR, and radar (including calibration, synchronization, and uncertainty). Create training/evaluation at scale, explore foundation-model approaches, and translate research into production-quality AV systems with robust debugging and validation.

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FursaFursa
NVIDIA
NVIDIA
7 hours ago

Senior Context Fusion AI Engineer - Autonomous Vehicles

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build learning-based multimodal sensor-fusion systems for L3/L4 autonomous driving, creating a unified 3D/4D world model that fuses navigation context, ego-motion, perception, and sensor signals. Lead architectures and end-to-end multi-task models across cameras, LiDAR, and radar (including calibration, synchronization, and uncertainty). Create training/evaluation at scale, explore foundation-model approaches, and translate research into production-quality AV systems with robust debugging and validation.
Location: Santa Clara, Redmond, Seattle, Nevada
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and develop learning-based, multimodal sensor-fusion systems to produce a unified spatiotemporal world representation.
  • •Build architectures that jointly reason over camera, LiDAR, radar, and vehicle-state inputs, handling calibration, synchronization, coordinate transforms, latency, and uncertainty.
  • •Develop end-to-end and multi-task models producing driving-relevant outputs (road graph elements, semantic understanding, occupancy/free-space including uncertain/occluded regions).
  • •Create scalable training, fine-tuning, and evaluation pipelines for large-scale multimodal datasets with multi-task objectives and safety-critical metrics.
  • •Drive from research to production-quality AV systems by collaborating across perception, mapping, prediction, planning, simulation, data, and embedded-software teams.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field, or equivalent experience.
  • •8+ years of experience, including at least 2+ years in the AV/robotics industry and 2+ years of leadership experience in a technically area.
  • •Strong experience developing production-quality sensor-fusion, perception, state-estimation, or autonomous-driving systems.
  • •Demonstrated experience with learning-based multimodal perception or fusion using two or more of: cameras, LiDAR, radar, map, navigation, and ego-motion signals.
  • •Strong C++ and Python skills with hands-on deep-learning model development/training/optimization in PyTorch; CUDA and distributed training/mixed-precision highly valued.
Experience:8+ yearsAutonomous drivingRoboticsComputer visionMultimodal learning
Skills:Cross-functional collaborationProblem-solvingAnalysisDebuggingDelivery to deployment
Tech Stack:C++PythonPyTorchCUDATransformersTransformerTensorRTDistributed trainingMixed-precision

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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Glassdoor: 4.3
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