Autonomous Driving Perception

Autonomous Driving Perception Engineer Jobs

2 jobs found

Today

Perception Machine Learning Engineer

Saildrone Alameda, CA

Alameda, CA

Today

$145k - $323k/yr Full time Artificial Intelligence Autonomous Driving Perception Computer Vision Model Deployment

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Job Description

Saildrone is hiring a Perception Machine Learning Engineer for an onsite role in Alameda, CA. In this position, you will build and deploy machine learning-based perception capabilities for autonomous vehicles using real-world vehicle data. You will work end-to-end across model development, evaluation, failure analysis, and production integration, helping turn experimentation into reliable perception performance.

Compensation: USD 144,500 - 322,742 per year.

What you’ll bring

Strong Python programming skills.
Hands-on experience developing computer vision and/or machine learning systems.
Strong experience with PyTorch or a comparable ML framework.
Solid understanding of computer vision fundamentals and how models perform on real-world visual data.
Experience evaluating models with quantitative metrics and conducting experimental analysis.
Experience bringing ML or computer vision systems into production.

Perception impact you’ll own

Develop machine-learning-based perception systems for autonomous vehicles.
Train, evaluate, and improve computer vision models using real-world sensor data.
Create data and experimentation workflows to identify failure modes and improve model performance.
Build perception capabilities spanning tasks such as detection, classification, segmentation, depth estimation, or scene understanding.
Analyze vehicle data and model failures to identify weaknesses and drive improvements.
Integrate models into production perception systems.
Transfer new machine learning techniques from experimentation into deployed systems.

Tools and technologies

Python
PyTorch
C++
ONNX
TensorRT
CUDA

Benefits

Generous Time Off: Competitive Paid Time Off (PTO) accrual, a robust annual holiday schedule, and paid sick leave.
Comprehensive Health Coverage: Premium, multi-tier Medical, Dental, and Vision plans with significant company contributions for employees and dependents.
Shared Ownership in the Mission: Equity grants.
Retirement Savings: Access to a 401(k) plan with flexible pre-tax and Roth payroll contribution options.
Investment in Your Growth: Annual professional development reimbursement program.
Relocation Support: Relocation assistance for eligible roles.

Nice to have

C++ experience for production perception systems.
Robotics, autonomous vehicle, aerospace, or defense experience.
Edge or embedded ML deployment experience.
Sensor fusion, 3D perception, or multimodal perception experience.
ONNX, TensorRT, CUDA, or other inference optimization experience.

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1d ago

Senior Machine Learning Engineer, Perception - Autonomous Driving

NVIDIA Santa Clara, CA

Santa Clara, CA

1d ago

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

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Job Description

NVIDIA is seeking a Senior Machine Learning Engineer specializing in perception for autonomous driving. The role focuses on developing and productizing traffic signal understanding solutions that do not rely on HD maps, with emphasis on end-to-end perception, deep learning model development, and performance improvements across robustness, accuracy, and efficiency.

Responsibilities

Design end-to-end solutions spanning Perception and the AV stack to support traffic signal detections across varied driving environments, from complex intersections to rural roads and highways.
Conduct applied research and development of deep learning models for traffic light detection, traffic sign recognition, road marking detection, construction object detection, text recognition, and other traffic signal tasks.
Develop generalizable methods to support diverse operational design domains (ODDs) and enable country or region expansion.
Lead data-driven development efforts by partnering with large data collection and labeling teams to prioritize collection and labeling, optimize labeling efficiency, and maximize the value of high-impact data to improve perception system accuracy.
Use data simulation and augmentation to address extreme scenarios.
Productize perception solutions by aligning with product requirements for safety, latency, and software robustness.

Requirements

Minimum qualification: 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.
2+ years of technical leadership demonstrating high technical and organizational complexity is a plus.
Hands-on experience building deep learning and algorithmic solutions for sophisticated real-world problems, including proficiency with deep learning frameworks such as 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 in a tightly-knit team focused on ongoing discussion and learning.

Key Technologies

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

Benefits

You will also be eligible for equity and benefits.

How 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 strong performance on complex object detection and recognition problems.

Job Details

Location: Santa Clara, CA (onsite)
Salary Range: USD 184,000 - 356,500 per year
Minimum Experience: 4 years
Education: PhD

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Autonomous Driving Perception Engineer Jobs

Perception Machine Learning Engineer

Senior Machine Learning Engineer, Perception - Autonomous Driving

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