Robot Perception Engineer Job at Tutor Intelligence (Watertown)

Machine Learning Engineer - Perception

As an ML Engineer on our perception team, you will own the development and deplo...

Location

United States , Mountain View

Salary:

154900.00 - 222365.00 USD / Year

Aeva

Expiration Date

Until further notice

Requirements

MS or PhD in CS, Robotics, or a related field
Hands-on experience with 3D object detection on LiDAR point clouds
Experience using VLMs for auto-labeling or offline perception tasks
Strong Python and PyTorch skills
Familiarity with large-scale dataset pipelines and annotation workflows
Experience with multi-object tracking or sensor fusion is a plus

Job Responsibility

Train and evaluate 3D perception models for object detection, segmentation, and lane detection
Improve model performance across challenging conditions such as long range and sparse point clouds
Deploy perception models to production and own the full lifecycle from research to real-world integration
Diagnose and resolve deployment issues including latency, accuracy degradation, and edge case failures in the field
Monitor model performance in production and iterate rapidly based on real-world feedback
Build auto-labeling pipelines using vision-language models to accelerate data annotation

What we offer

Comprehensive medical, dental, and vision coverage
Pre-tax commuter and health care/dependent care accounts
401k plan
Life and disability benefits
Flexible time off
Paid parental leave
11 paid holidays annually

Fulltime

Senior Machine Learning Engineer – Perception & Embodied AI

At General Motors, our product teams are redefining mobility. Through a human-ce...

Location

United States , Mountain View

Salary:

170600.00 - 261300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field
5+ years of professional experience with a focus on Computer Vision, Deep Learning, and Perception in a production environment
Deep hands-on experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow) for training, experimentation, and debugging complex DNNs
Proven experience working with and fusing data from multiple sensor modalities (Camera, LiDAR, and/or Radar)
Practical experience deploying and optimizing ML models for resource-constrained, real-time embedded systems
Demonstrated ability to drive model improvements through large-scale data analysis, error logging, and data curation

Job Responsibility

End-to-End Model Lifecycle: Own the design, training, validation, and deployment of deep learning models for core perception tasks such as: 3D Object Detection and Tracking (vehicles, pedestrians, cyclists)
Real-time map detection of the drivable world (lanes, road boundaries, traffic signs)
Multi-Modal Sensor Fusion (Camera, LiDAR, Radar)
Production Pipeline: Build and scale the ML training infrastructure, including data mining and loading, multi-stage training and evaluation, to streamline model development
Performance Optimization: Improve model performance through data iterations, parameter tunings, training strategy and architecture updates to produce reliable models that meet and the strict real-time, low-latency requirements on the vehicle's embedded hardware
Model Debugging: Conduct rigorous, data-driven analysis to identify, debug, and resolve performance degradations and failures, specifically targeting long-tail and adversarial scenarios (e.g., adverse weather, sensor noise, occlusions)
Metric Definition: Define and implement robust model-level metrics to aid model development
System Integration: Work closely with the Safety, Systems, and other engineering functions to integrate Perception outputs

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior Robotics Engineer-Perception

We're looking for an experienced Senior Robotics Engineer to join the Stretch Wo...

Location

United States , Waltham

Salary:

Not provided

Boston Dynamics

Expiration Date

Until further notice

Requirements

BS or MS in Computer Science or a related field
PhD is a plus
5+ years’ of experience as a Software Engineer or relevant role, designing and delivering complex perception systems
Expert-level C++ software development skills, including deep understanding of software architecture, design patterns, and performance optimization
Demonstrated expertise in classical perception of concepts like state estimation, sensor fusion, and object modeling
Experience working with large-scale systems and complex codebases
Hands-on experience with robots, including testing, debugging, and deployment in real-world scenarios
Exceptional communication, collaboration, and leadership skills

Job Responsibility

Design and implement advanced classical perception algorithms to solve complex problems on our robots, with a strong emphasis on real-world reliability and performance
Lead the architecture and development of large-scale systems within our perception stack, ensuring they are scalable, efficient, and maintainable
Write clean, efficient, and testable C++ code, serving as a technical leader and establishing best practices for the team
Collaborate closely with other teams, acting as a subject matter expert in perception and a technical leader for cross-functional initiatives
Mentor junior and mid-level engineers, fostering their technical growth and contributing to a strong engineering culture

Fulltime

Staff Software Engineer - Perception and Safety R&D

As a Staff Software Engineer on the Perception and Safety R&D Team, you will joi...

Location

United States , Waltham

Salary:

Not provided

Boston Dynamics

Expiration Date

Until further notice

Requirements

5-7+ years of experience in software development
Deep experience designing and developing robust data frameworks and scalable pipelines
Proven experience developing and deploying production code and working in large, complex codebases
Some experience working with machine learning and/or realtime perception systems, especially with large datasets, system-level metrics, and data curation tooling
History of leading technical efforts through planning, architecture, development, testing
Experience of working in small, interdisciplinary teams

Job Responsibility

Engineer robust data pipelines, perception system evaluation frameworks, and cloud integrations for machine learning and tracking metrics
Design and build dataset querying, logging, metrics, and curation functionality to enable building and leveraging vast datasets of perceptual safety data
Scale systems that track the quality and safeness of the perception system as we work to bring prototype robotic safety system into initial deployments
Own the full software development lifecycle, from requirements specification to deployment and ongoing maintenance, ensuring code quality and system reliability
Work closely with a small team to design and prototype new product features which enable our robots to operate safely around humans

Fulltime

Helix AI Engineer, Robot Learning

Figure is an AI robotics company developing autonomous general-purpose humanoid ...

Location

United States , San Jose

Salary:

Not provided

Figure

Expiration Date

Until further notice

Requirements

Hands-on experience developing and deploying robot learning systems on real robots
Strong background in robot manipulation and visuomotor control
Experience with behavior cloning, reinforcement learning, or related learning-based manipulation methods
Proficiency in Python and/or C++ for robotics and ML systems
Experience with modern deep learning frameworks (e.g., PyTorch)
Ability to design experiments, analyze failures, and iterate quickly in real-world robotic systems
Solid understanding of the tradeoffs between classical robotics approaches and learning-based methods
Thrive in fast-paced, ambiguous environments where solutions require exploration and ownership

Job Responsibility

Design, train, evaluate, and deploy learning-based visuomotor policies for humanoid robot manipulation
Develop manipulation behaviors such as grasping, pick-and-place, object reorientation, door opening, bimanual manipulation, and basic assembly
Apply and extend techniques including behavior cloning, reinforcement learning, and VLA reasoning
Train models that are robust to real-world challenges such as sensor noise, partial observability, contact dynamics, and environment variability
Own the full pipeline from data collection on real robots to model training, evaluation, and deployment
Work closely with simulation and digital twin tooling where useful, while prioritizing real-world performance and transfer
Collaborate with perception, controls, systems, and hardware teams to integrate policies into a full autonomy stack
Evaluate tradeoffs between learning-based and classical approaches and make principled design decisions
Write high-quality, well-tested software that ships to and runs reliably on physical humanoid robots
Partner with integration and testing teams to continuously improve robustness, performance, and deployment velocity

Principal Perception Engineer

This role offers an exciting opportunity to work in an early-stage company at th...

Location

United States , Woburn

Salary:

Not provided

Nondestructive & Visual Inspection

Expiration Date

Until further notice

Requirements

Master’s or PhD degree in Computer Science, Computer Vision, Machine Learning, or a related field
Demonstrated experience designing, implementing, testing, and optimizing vision solutions for robotic or automation applications
Experience working with pixels, low-level statistical features and filter responses, and higher-level representations (feature descriptors, embeddings)
Strong programming skills (10+ years of professional experience with Python, Rust, C++ or a similar language)
Experience implementing algorithms (statistical, ML, DL) for applications such as object detection, tracking, classification, scene segmentation, or SLAM
Proficiency in AI/ML frameworks (e.g. PyTorch) and computer vision libraries (e.g., OpenCV, PCL, Open3D, CUDA)
Familiarity with various depth sensing modalities (e.g., LiDAR, stereo vision, time-of-flight) and sensor fusion
Excellent problem-solving skills, attention to detail, and ability to work in a dynamic environment
Applicants must be authorized to work in the United States legally

Job Responsibility

Design and implement robust, efficient, and well-tested perception algorithms for real-world scenarios
Integrate classical and ML image processing algorithms for classification, depth sensing, and 3D reconstruction
Select optimal sensors (e.g., LIDARs, time-of-flight cameras, stereo vision) for various applications
Create AI and ML models to enhance object detection, classification, and tracking capabilities
Utilize deep learning techniques to improve system accuracy and efficiency
Conduct extensive testing, validation, and calibration to ensure system accuracy and reliability
Collaborate with cross-functional teams, including mechanical, system, mechatronic, software and software quality assurance engineers, and domain experts

What we offer

RELOCATION assistance
Exciting compensation packages

Principal Perception Engineer

As Principal Perception Engineer at Dexory, you will be responsible for the desi...

Location

United Kingdom , Wallingford

Salary:

Not provided

Dexory Using

Expiration Date

Until further notice

Requirements

Strong experience in developing and implementing perception systems for real-time data capture and analysis
Proficiency in programming languages such as Python and C++
Experience with frameworks such as ROS/ROS2 and associated systems and tools
Familiarity with perception-related libraries and tools, including OpenCV, PCL (Point Cloud Library), Open3D, OpenVDB, and TensorFlow/PyTorch
Experience with handling and processing large datasets, with a particular focus on edge processing
Strong problem-solving skills and a proactive approach to technical challenges
Excellent verbal and written communication skills, with the ability to work effectively in a collaborative team environment

Job Responsibility

Designing and implementing high-performance systems for data collection and processing using 3D LiDARs, cameras, and other sensors
Leading and mentoring a small perception team, fostering collaboration and innovation
Implementing efficient data pipelines for processing large-scale sensor datasets in real-time
Identifying and integrating new technologies to improve system performance and reliability
Building efficient and effective debugging and support tools to allow analysis of our data capture capabilities
Collaborating with cross-functional teams, including ROS/robotics engineers, to ensure seamless integration of perception capabilities into our warehouse integrity platform
Staying updated with the latest advancements in perception and data capture technologies, contributing to Dexory’s technical roadmap

What we offer

Private healthcare via Bupa with 24/7 medical helpline
Life insurance
Income protection
Pension: 4+% employee with option to opt into salary exchange, 5% employer
Employee Assistance Programme - mental wellbeing, financial and legal advice/support
25 holidays per year
Full meals onsite in Wallingford
Fun team events on and offsite, snacks of all kinds in the office

Fulltime

Senior Machine Learning Engineer, Perception

We are seeking a highly skilled Machine Learning Engineer with deep expertise in...

Location

United States , Santa Clara

Salary:

145000.00 - 200000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field
Ph.D. new grad or Masters + 3 years industry experience
Proficiency in Python and experience building deep learning pipelines
Strong expertise in PyTorch, TensorFlow, or JAX
Proven experience with LiDAR-based 3D perception and BEV representation models
Deep understanding of multimodal sensor fusion architectures and techniques
Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines
Solid foundation in computer vision, deep learning, and 3D geometry

Job Responsibility

Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs
Benchmark perception models using large-scale datasets and well-defined quantitative metrics
Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications
Maintain a strong focus on performance, robustness, and scalability for deployment in production systems
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure team compliance with QMS, monitor quality, and drive process improvements

Fulltime

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Robot Perception Engineer

Job Description

Job Responsibility

Requirements

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What we offer

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