Senior Online Mapping Algorithms Engineer – Autonomous Vehicles

NVIDIA

. Generate real-time 3D world models used by planning, incorporating inputs from sensors and external sources .

Posted 10/16/2026full-timeUnited StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing real-time embedded software for autonomous driving systems, with strong proficiency in C++ and GPGPU programming using CUDA. Demonstrated ability to integrate algorithmic solutions and optimize code for automotive applications while adhering to quality and safety standards.

Highest-signal resume keywords

C++ DevelopmentGPGPU Programming (CUDA)Embedded Software Engineering3D Geometry and Computer VisionADASISv2 and Geographic Information Systems (GIS)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Real-Time SystemsAlgorithmic SolutionsAutomotive Quality StandardsRuntime OptimizationKalman FiltersParticle FiltersSensor IntegrationParallel Programming3D World ModelingBEV Model Creation

Soft Skills

Outstanding CommunicationCross-Team CollaborationIndependent Problem SolvingAnalytical SkillsPassion for Robotics

Industry Keywords

Autonomous VehiclesSoftware Industry ExperienceComplex Urban ScenariosCrowdsourced MapsPlanning Algorithms

Tech Stack

Tools & technologies

C++

About the role

Key responsibilities & impact

Generate real-time 3D world models used by planning, incorporating inputs from sensors and external sources
Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world
Design and integrate algorithmic solutions into NVIDIA autonomous driving systems
Write safe embedded software code for real-time systems
Develop efficient product code in C++ using algorithmic parallelism through GPGPU programming (CUDA)
Produce code and designs following automotive quality and safety standards

Requirements

What you’ll need

Bachelor’s / Master’s / PhD in Computer Science or a related field (or equivalent experience)
6+ years of experience
Software industry experience
Strong C++ development skills
Passion for robotics and autonomous vehicles
Drive to learn new things and tackle meaningful problems
Outstanding communication and cross-team collaboration
Independent and analytical software engineering skills
Software development on embedded or automotive platforms
Background in 3D geometry, computer vision, or state estimation algorithms like Kalman filters and particle filters
Understanding of ADASISv2, crowdsourced maps, and geographic information systems (GIS)
Runtime optimization of code using profilers
Experience with CUDA parallel programming

Benefits

Comp & perks

Equity
Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score