Senior Software Engineer, Context Fusion and Multi-Vehicle Adaptation - Autonomous Vehicles

NVIDIA
Shanghai, Beijing
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["System-level debugging","Technical analysis","Collaboration","Communication"]

Work on Context Fusion delivery across multiple OEM programs and vehicle platforms, analyzing and resolving complex fusion issues from logs, replays, and on-vehicle debugging. Adapt and tune fusion behavior for different carlines, sensor configurations, map providers, and regional environments. Build scalable debugging/validation workflows, automate triage and quality metrics, and validate performance to ensure safe, production-ready autonomous driving features.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Software Engineer, Context Fusion and Multi-Vehicle Adaptation - Autonomous Vehicles

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Work on Context Fusion delivery across multiple OEM programs and vehicle platforms, analyzing and resolving complex fusion issues from logs, replays, and on-vehicle debugging. Adapt and tune fusion behavior for different carlines, sensor configurations, map providers, and regional environments. Build scalable debugging/validation workflows, automate triage and quality metrics, and validate performance to ensure safe, production-ready autonomous driving features.
Location: Shanghai, Beijing
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Analyze, triage, and resolve complex Context Fusion issues across multiple programs and carlines using replay tools, log-based diagnostics, and on-vehicle debugging.
  • •Develop and improve fusion logic integrating perception outputs, map signals, and vehicle state into reliable driving-relevant environment representations.
  • •Adapt and tune Context Fusion modules across different vehicle platforms, sensor configurations, map providers, and regional driving environments.
  • •Conduct on-vehicle validation, debugging, and performance tuning, including reproducing real-world issues and iterating on fixes.
  • •Design and develop testing tools, automation pipelines, and quality metrics to improve triage efficiency and enable cross-carline comparison.
Travel: Medium travel

Key Requirements

  • •BS/MS (or equivalent) in Computer Science, Computer Engineering, Robotics, Electrical Engineering, Mathematics, Physics, or a related discipline.
  • •Over 3 years of relevant experience in autonomous driving, robotics, perception, mapping, localization, sensor fusion, planning, active safety, or real-time embedded systems.
  • •Strong system-level debugging ability, analyzing complex autonomous driving issues using logs, replays, metrics, visualization tools, or vehicle testing.
  • •Strong C/C++ skills and a background in 3D geometry, coordinate systems, state estimation, probabilistic modeling, numerical optimization, and real-time fusion systems.
  • •Experience supporting production programs, vehicle integration, parameter tuning, validation, or release readiness across multiple platforms or customers.
Experience:3+ yearsAutonomous drivingRoboticsPerceptionMappingLocalizationSensor fusionPlanningActive safetyReal-time embedded systemsADAS
Education:Bachelor's
Skills:System-level debuggingTechnical analysisCollaborationCommunication
Languages:English
Tech Stack:CC++

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
Glassdoor
Glassdoor: 4.3
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