Perception

Perception Developer 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 seeking a Perception Machine Learning Engineer to develop and deploy machine learning-based perception capabilities for autonomous vehicles using real-world vehicle data. This role covers the full lifecycle from model development and evaluation to production deployment for computer vision perception tasks.

Onsite Location

Alameda, CA (onsite)

Compensation

USD 144,500 - 322,742 per year

Responsibilities

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.
Develop perception capabilities for 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.

Required Qualifications

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

Technologies

Python
PyTorch
C++
ONNX
TensorRT
CUDA

Benefits

Generous Time Off: Competitive Paid Time Off (PTO) accrual plus 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) retirement 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.
Sensor fusion, 3D perception, or multimodal perception.
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

Build and productize autonomous driving perception systems for traffic signal understanding with solutions designed to work without reliance on HD maps.

Responsibilities

Design end-to-end perception and AV stack solutions for traffic signal detections across diverse driving environments, from complex intersections to rural roads and highways
Conduct applied research and development of deep learning models for traffic signal tasks, including:
- Traffic light detection
- Traffic sign recognition
- Road marking detection
- Construction object detection
- Text recognition
- Other traffic signal-related tasks
Develop generalizable methods to support diverse ODDs and enable country or region expansion
Drive data-driven development by partnering with large data collection and labeling teams to prioritize high-value data:
- Data collection prioritization and planning
- Labeling prioritization
- Labeling efficiency optimization
- Maximize the value of data to improve perception accuracy
Use data simulation and augmentation to address extreme and rare scenarios
Productize perception solutions by meeting product requirements for safety, latency, and software robustness

Requirements

Minimum education and experience:
- PhD with 4+ years, or
- 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 with high technical and organizational complexity is a plus
Hands-on experience building deep learning models and algorithms to solve complex real-world problems
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++
Strong communication and teamwork skills in a collaborative, learning-focused environment

Technologies

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

Benefits

Eligible for equity and benefits

Ways to Stand Out

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

Location: Santa Clara, CA (onsite)

Compensation: 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

Lucid Motors is seeking a Perception Machine Learning Engineer to build and improve autonomous driving perception capabilities for ADAS. The role focuses on turning camera and LiDAR data into deployable machine learning models, with an emphasis on reliable performance through testing, validation, and production deployment.

Responsibilities

Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR inputs.
Design and implement deep learning solutions for 2D/3D object detection, segmentation, tracking, and multi-task learning.
Research, integrate, and iterate on BEV transformer-based approaches for perception tasks.
Partner with cross-functional teams to support seamless integration and robust implementation of perception software.
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 aimed at advancing future autonomous driving capabilities.

Requirements

Strong theoretical foundation and practical expertise in deep learning algorithms, including object detection, tracking, and segmentation.
Proficiency in Python with a focus 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 evaluation pipelines that support unit testing of ML models across diverse conditions and environments.
Excellent communication skills and a strong team orientation.
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 and maintainable code.
Practical, hands-on problem-solving experience in autonomous driving contexts.
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.

Technology Stack

Python
PyTorch
TensorFlow
MXNet
C++

Location

Southfield, MI (onsite)

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 Developer Jobs

Perception Machine Learning Engineer

Senior Machine Learning Engineer, Perception - Autonomous Driving

Perception Machine Learning Engineer – ADAS

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