Perception

Perception Data Jobs

3 jobs found

1d ago

Perception Machine Learning Engineer

Saildrone Alameda, CA

Alameda, CA

1d ago

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

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Job Description

Build and deploy perception-focused machine learning capabilities for autonomous vehicles using real-world vehicle data.

Responsibilities

Design machine-learning-based perception systems for autonomous vehicles
Train, evaluate, and iterate on computer vision models using real-world sensor data
Create data and experimentation workflows to surface failure modes and improve model performance
Develop perception capabilities for detection, classification, segmentation, depth estimation, or scene understanding
Analyze vehicle data and model failure cases to identify weaknesses and prioritize improvements
Integrate trained models into production perception systems
Transition new machine learning techniques from experimentation into deployed systems

Requirements

Python proficiency
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 real-world visual data
Experience evaluating models using quantitative metrics and experimental analysis
Experience moving ML or computer vision systems into production

Technologies

Python
PyTorch
C++
ONNX
TensorRT
CUDA

Location

Alameda, CA (onsite)

Compensation

USD 144,500 - 322,742 per year

Benefits

Generous Time Off: Competitive Paid Time Off (PTO) accrual, 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: 401(k) 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
Experience in robotics, autonomous vehicles, aerospace, or defense
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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2d ago

Senior Machine Learning Engineer, Perception - Autonomous Driving

NVIDIA Santa Clara, CA

Santa Clara, CA

2d ago

$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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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

In this onsite role in Southfield, MI, you will develop and improve perception machine learning algorithms for autonomous driving systems. The work focuses on building deep learning models that leverage camera and LiDAR data and delivering them through testing and production deployment pipelines.

Responsibilities

Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR data.
Design and implement deep learning solutions for 2D and 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 algorithm improvements to advance future autonomous driving capabilities.

Requirements

Strong theoretical foundation and expertise in deep learning algorithms, including object detection, tracking, and segmentation.
Proficiency in Python with a focus on clean, efficient, and scalable 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 3 years of relevant work experience, or a Ph.D. in a related field for a senior position.

Technologies

Python
PyTorch
TensorFlow
MXNet
C++

Preferred Qualifications

Experience developing BEV transformer models for perception.
Proficiency in C++ with experience writing efficient, maintainable code.
Hands-on approach to solving complex autonomous driving problems.
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 system and vehicle levels.

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 Data Jobs

Perception Machine Learning Engineer

Senior Machine Learning Engineer, Perception - Autonomous Driving

Perception Machine Learning Engineer – ADAS

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