Autonomous Driving Simulation

Autonomous Driving Simulation Data Jobs

2 jobs found

Today

Senior Machine Learning Engineer, Perception - Autonomous Driving

NVIDIA Santa Clara, CA

Santa Clara, CA

Today

$184k - $357k/yr Full time Artificial Intelligence Autonomous Driving Perception Autonomous Driving Simulation

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Job Description

Senior Perception Engineer role focused on building and productizing autonomous driving traffic signal understanding without relying on HD maps.

Responsibilities

Design end-to-end Perception and AV stack solutions to support traffic signal detections across driving environments, from complex intersections to rural roads and highways
Conduct applied research and R&D to develop deep learning models for traffic light detection, traffic sign recognition, road marking detection, construction object detection, and text recognition for traffic signal tasks
Build generalizable approaches to support diverse ODDs and expand to new country or region requirements
Lead data-driven development by collaborating with large data collection and labeling teams to increase perception system accuracy via high-value data, including:
- Data collection prioritization and planning
- Labeling prioritization
- Labeling efficiency optimization
- Maximizing the value of collected and labeled data
Use data simulation and augmentation to address extreme scenarios
Productize perception solutions by meeting product requirements for safety, latency, and software robustness

Requirements

Minimum requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years in Computer Science, Computer Engineering, or a related technical field
Plus: 2+ years of technical leadership showing high technical and organizational complexity
Hands-on experience developing deep learning and algorithms for sophisticated real-world problems
Proficiency with deep learning frameworks, for example PyTorch
Experience with data-driven development and collaboration with data and ground truth teams
Strong programming skills in Python and/or C++
Outstanding communication and teamwork skills for a tightly-knit team that shares learning and expertise

Technologies

PyTorch
Python
C++
Deep learning frameworks
Transformers
BEV architectures
Visual Language Models

Benefits

Equity and benefits eligibility

Ways to Stand Out

Proven expertise developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras
Hands-on experience developing and deploying DNN-based solutions to embedded platforms for real-time applications
Proven deep learning expertise supported by technical publications in leading conferences and journals
Expertise with Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques, including experience with complex object detection and recognition (a plus)

Location: Santa Clara, CA (onsite)

Salary: USD 184,000 - 356,500 per year

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Today

Senior Synthetic Data Engineer - Autonomous Driving

NVIDIA Santa Clara, CA

Santa Clara, CA

Today

$184k - $357k/yr Full time Senior Autonomous Driving Simulation Cloud Data Engineering

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Job Description

Senior Synthetic Data Engineer will design and build simulation environments and synthetic data pipelines for autonomous driving systems using NVIDIA DRIVE, NVIDIA Omniverse NuRec, and Cosmos.

Responsibilities

Build, implement, and optimize tools to generate synthetic data for training multiple DRIVE deep learning networks, including simulated lidar, radar, camera/RGB-D, bounding boxes, object tracks, world models, segmentation, depth, scene semantics, and sensor metadata.
Develop lidar and radar sensor simulation workflows that operate on NuRec reconstructed driving worlds and Cosmos-generated environments, covering sensor placement, calibration, material response, geometry handling, noise modeling, and scenario variation.
Create a Cosmos world model to improve world generation, including controllable scenario generation, novel view synthesis, trajectory extrapolation, scene completion, quality triage, regression detection, and controllability evaluation.
Gather perception, planning, and DRIVE network requirements, map them to existing synthetic data and sensor simulation capabilities, and create or improve tools when gaps are identified.
Develop dataset quality assessment methods and synthetic-real comparison procedures to evaluate sensor realism, annotation quality, distribution coverage, scenario diversity, and sim-to-real transfer.
Set up, profile, and supervise large-scale NuRec, Cosmos, and sensor simulation pipelines in data center or cloud environments.
Debug end-to-end systems across sensors, reconstruction models, world models, simulation runtime, GPU workloads, distributed data services, and downstream autonomous-driving workloads.

Requirements

B.S. or M.S. in Computer Science, Electrical Engineering, Computer Engineering, Applied Math, Physics, or related field (or equivalent experience).
8+ years of experience in computer graphics, computer vision, autonomous driving, sensor simulation, neural rendering, or physically-based sensor modeling, synthetic data generation, or closely related software engineering roles.
Strong Python and C++ skills; experience building, debugging, profiling, and maintaining production-quality systems on Linux.
Strong mathematical foundation in linear algebra, geometry, and probability.
Familiarity with synthetic data annotations, data formats, dataset curation, data augmentation, and evaluation workflows for perception model training and validation.
Familiarity with deep learning workflows and modern ML tooling, with enough practical understanding to translate network needs into synthetic data requirements and measurable quality criteria.
Experience with scalable engineering workflows including Git, Docker, Kubernetes, CI/CD, distributed storage, and deployment in data centers or cloud.

Technologies

Python, C++, Linux, Git, Docker, Kubernetes, CI/CD
NuRec, Cosmos, NVIDIA Omniverse
Distributed storage, cloud, data center

Location and Salary

Location: Santa Clara, CA (onsite)
Compensation: USD 184,000 - 356,500 per year

Benefits

Eligible for equity and benefits.

Ways to Stand Out

Practical experience working directly with NVIDIA NuRec, Cosmos, world foundation models, Real2Sim systems, or autonomous-driving simulation and validation pipelines.
Experience with NuRec world reconstruction, neural rendering, 3D Gaussian Splatting, NeRFs, or occupancy networks.
Deep lidar or radar simulation expertise: ray tracing or ray casting, reflectance and intensity modeling, Doppler, radar cross-section, weather effects, occlusion, and sensor-specific noise models.
Experience developing synthetic data pipelines for autonomous driving, including closed-loop simulation, domain randomization, long-tail scenario mining, and sim-to-real transfer.
Familiarity with autonomous vehicle data pipelines and formats such as OpenDRIVE, HD maps, scenario formats, vehicle dynamics, or AV safety validation.

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Autonomous Driving Simulation Data Jobs

Senior Machine Learning Engineer, Perception - Autonomous Driving

Senior Synthetic Data Engineer - Autonomous Driving

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