Perception

Perception Engineer Jobs

3 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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1mo ago

Perception Machine Learning Engineer – ADAS

Lucid Motors Southfield, MI

Southfield, MI

1mo ago Closed

Full time Artificial Intelligence Automation Autonomous Vehicles

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Lucid Motors is seeking a Perception Machine Learning Engineer for an onsite role in Southfield, MI, focused on advancing autonomous driving perception. The position emphasizes developing and optimizing perception algorithms that use camera and LiDAR data, then validating and deploying models into production programs.

Role Summary

Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR inputs. Create deep learning models for tasks including 2D/3D object detection, segmentation, tracking, and BEV transformer-based perception. Test and deploy these models into Lucid production programs.

Key Responsibilities

Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR data.
Design and implement deep learning solutions for 2D/3D object detection, segmentation, tracking, and multi-task learning.
Research and integrate BEV-based transformer models for perception tasks.
Collaborate with cross-functional teams to support seamless integration and robust implementation.
Test, release, and deploy perception algorithms into Lucid production programs.
Support validation and verification of perception algorithms using prototype and pre-production vehicles.
Propose software algorithms intended to improve future autonomous driving capabilities.

Required Qualifications

Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation.
Proficiency in Python, with emphasis on clean, efficient, and scalable software development.
Comfort working with large codebases and debugging complex machine learning models.
Experience with PyTorch or other ML frameworks such as TensorFlow or MXNet.
Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments.
Excellent communication skills and strong teamwork.
Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field.
Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position.

Preferred Qualifications

Experience developing BEV transformer models for perception.
Proficiency in C++, including experience writing efficient, maintainable code.
Practical, hands-on approach to solving complex problems in autonomous driving.
Experience testing and validating perception systems in real-world conditions.
Experience working in agile development teams.
Expertise in component and system integration, testing, and verification at both system and vehicle levels.

Technologies

Python
PyTorch
TensorFlow
MXNet
C++

Benefits

Medical, dental, and vision insurance
Life and disability coverage
Paid time off
Paid holidays
401(k) retirement plan
Eligible employees may participate in Lucid’s equity program and/or a discretionary annual cash incentive program

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Perception Engineer Jobs

Perception Machine Learning Engineer

Senior Machine Learning Engineer, Perception - Autonomous Driving

Perception Machine Learning Engineer – ADAS

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