Senior Algorithm Engineer – Autonomous Vehicles

NVIDIA

. Develop foundational autonomous driving systems across diverse geographies by merging perception DNNs and map data .

Posted 10/26/2026full-timeRemote • California • United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in developing autonomous driving systems, integrating sensor data, and designing advanced algorithms while adhering to automotive quality and safety standards. Proven ability to lead teams, mentor engineers, and collaborate effectively across global teams.

Highest-signal resume keywords

Autonomous Vehicles ExperienceTechnical Leadership3D Geometry ExpertiseReal-Time Computer Vision SystemsEmbedded Software Development

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

Perception DNNsDynamic 3D ModelsObstacle GridsOcclusion MasksAPI DesignFramework DesignSensor CalibrationState EstimationKalman FiltersParticle Filters

Soft Skills

Excellent CommunicationCollaboration SkillsAnalytical AbilitiesProblem-SolvingMentoring

Industry Keywords

Automotive StandardsRoboticsSelf-Driving CarsHD Mapless DrivingComplex Urban Environments

About the role

Key responsibilities & impact

Develop foundational autonomous driving systems across diverse geographies by merging perception DNNs and map data
Integrate sensor and external inputs to generate dynamic real-time 3D models for planning and navigation
Design enriched bird’s-eye-view (BEV) models to support HD mapless driving in complex urban environments
Construct fused static obstacle and occupancy grids, and generate occlusion masks to improve scenario understanding
Guide the team in solving challenging autonomous vehicle problems and collaborate hands-on to drive innovation
Recruit, hire, and mentor talented engineers
Develop reliable algorithms on large datasets across varied conditions while adhering to automotive quality and safety standards
Collaborate closely with perception and planning teams

Requirements

What you’ll need

Bachelor’s, Master’s, or PhD in Computer Science or related field, or equivalent experience
10+ years of experience, including at least 2 years in autonomous vehicles or robotics
2+ years of technical leadership experience
Deep passion for robotics and autonomous vehicles
Eagerness to learn and solve impactful challenges
Excellent communication and collaboration skills, especially with global teams
Strong independent and analytical software engineering abilities
Experience with embedded or automotive software development
Expertise in 3D geometry, computer vision, sensor calibration, or state estimation (e.g., Kalman/particle filters)
Significant industry experience with self-driving cars
Background in developing real-time computer vision systems
Strong skills in API and framework design

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