ZipRecruiter

Log In

1

Senior Autonomous Driving Engineer Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsSenior Autonomous Driving Engineer Jobs

Senior Autonomous Driving Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do senior autonomous driving engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for senior autonomous driving engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Autonomous Driving Engineer vs Autonomous Vehicle Software Engineer?

AspectSenior Autonomous Driving EngineerAutonomous Vehicle Software Engineer
Required CredentialsBachelor's/Master's in Robotics, Computer Science, or related; experience in autonomous systemsBachelor's/Master's in Software Engineering, Computer Science; programming skills
Work EnvironmentResearch labs, automotive companies, tech firms developing autonomous systemsSoftware development teams, automotive or tech companies working on autonomous vehicle software
Industry UsageDesigning, testing, and integrating autonomous driving featuresDeveloping and maintaining software components for autonomous vehicles
Common Search/ComparisonYesYes

The Senior Autonomous Driving Engineer focuses on leading the development and integration of autonomous driving systems, requiring expertise in robotics and sensor integration. In contrast, the Autonomous Vehicle Software Engineer primarily develops software components for autonomous vehicles, emphasizing programming skills. Both roles are vital in autonomous vehicle development but differ in scope and responsibilities.

More about Senior Autonomous Driving Engineer jobs
What cities are hiring for Senior Autonomous Driving Engineer jobs? Cities with the most Senior Autonomous Driving Engineer job openings:
What are the most commonly searched types of Autonomous Driving Engineer jobs? The most popular types of Autonomous Driving Engineer jobs are:
What states have the most Senior Autonomous Driving Engineer jobs? States with the most job openings for Senior Autonomous Driving Engineer jobs include:
What job categories do people searching Senior Autonomous Driving Engineer jobs look for? The top searched job categories for Senior Autonomous Driving Engineer jobs are:
Senior Autonomous Driving Engineer jobs near you
Infographic showing various Senior Autonomous Driving Engineer job openings in the United States as of June 2026, with employment types broken down into 8% Full Time, 89% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior Software Engineer - Autonomous Driving

NVIDIA AI

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 3 days ago

Job description

Job Summary:
NVIDIA AI is building the software foundation for scalable, high-performance vehicle computing platforms that power autonomous driving and centralized vehicle architectures. They are seeking a Senior Software Engineer to lead architecture and optimization efforts across the autonomous driving software stack, focusing on deep neural network optimization and deployment on NVIDIA automotive compute platforms.
Responsibilities:
• Lead architecture and technical strategy for optimizing inference workloads in autonomous driving applications.
• Drive end-to-end performance analysis across DNN models, TensorRT/compiler flows, CUDA kernels, memory behavior, scheduling, runtime services, and automotive platform constraints.
• Develop and guide model optimization techniques such as quantization, pruning, distillation, graph optimization, operator fusion, kernel selection, and layout/memory optimization.
• Collaborate with TensorRT, CUDA, compiler, silicon architecture, perception, planning, DriveOS and safety platform teams.
• Build tools, methodologies, and metrics for profiling, benchmarking, debugging, and validating model and platform performance.
Qualifications:
Required:
• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
• 12+ years of software engineering experience in systems software, AI/ML infrastructure, deep learning inference, compiler/runtime technology, or platform performance.
• Strong C/C++ and practical Python experience.
• Deep familiarity with TensorRT, TensorRT-LLM, ONNX, PyTorch, CUDA, Triton, or related frameworks.
• Experience optimizing DNN models for latency, throughput, memory footprint, and power.
Preferred:
• Hands-on experience with TensorRT internals, CUDA kernels, Triton kernels, or other compiler/runtime technologies.
• Experience deploying optimized DNNs, LLMs, VLMs, or perception models on embedded, edge, robotics, or automotive platforms.
• Background in autonomous driving, ADAS, robotics, real-time systems, safety-aware software, or deterministic low-latency systems.
• Experience with ISO 26262, QNX, Safe RTOS, DriveOS, Linux, hypervisors, or virtualization.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.

Apply