Robotics

Robotics Developer Jobs

50 jobs found

Today

Software Engineer

URSA Industries Reno, NV

Reno, NV

Today

$160k - $220k/yr Full time Data Processing Engineering Programming

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Job Description

URSA Industries is seeking a Software Engineer to help design, build, and maintain scalable, high-performance software systems supporting autonomy and teleoperation. This is an in-person role based in or around Reno, Nevada, working onsite to deliver reliable pipelines and operator tools for robotics operations.

The team’s focus spans the full path from sensor acquisition to operator interfaces and recorded data, with an emphasis on ROS 2 communication, low-latency performance, and efficient handling of camera and LiDAR streams.

What you will do

Own the services and infrastructure that support autonomy and teleoperation pipelines, covering sensor acquisition through operator interfaces and data recording.
Build and optimize ROS 2 systems to enable reliable, low-latency communication between sensors, autonomy software, and vehicle control systems.
Develop high-performance data pipelines to capture, transport, record, decode, and replay camera and LiDAR data.
Create operator-facing dashboards and visualization tools for live camera feeds, LiDAR point clouds, vehicle state, GPS, diagnostics, and system health.
Design infrastructure for collecting large-scale robotics datasets and making that data accessible for training, evaluation, and debugging.

Key requirements

Strong software engineering fundamentals with experience building production-quality systems.
Strong Python and/or C++ skills.
Experience with ROS 2 and robotic systems.
Experience building real-time or high-throughput data pipelines.
Familiarity with robotics sensors such as LiDAR, cameras, point clouds, and video streaming.
A practical approach that helps work move forward and get completed.

Technologies

ROS 2
Python
C++

Compensation

USD 160,000 - 220,000 per year

Benefits

Dental insurance
Health insurance

Nice to have

Experience with autonomy or machine learning systems, including perception, planning, control, imitation learning, or reinforcement learning.

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Today

Imaging Machine Learning Engineer

Google Mountain View, CA

Mountain View, CA

Today

$132k - $189k/yr Full time Artificial Intelligence Data Analysis Data Analytics

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Job Description

Join Google’s Platforms and Devices team to improve imaging performance by optimizing image quality through both hardware-aware software tuning and machine learning.

Responsibilities

Drive image quality improvements across the full hardware and software stack, ensuring available hardware capabilities are utilized via software tuning
Fine-tune 3A algorithms to maintain strong performance across different lighting and environmental conditions
Develop software tools that use ML automation to streamline image quality (IQ) tuning, testing, benchmarking, and calibration workflows

Requirements

Bachelor’s degree in Electrical Engineering, Computer Science, Imaging Science, Physics, or a related field, or equivalent practical experience
2+ years of experience in Image Quality, Computer Vision, or a related technical field
2+ years building and implementing algorithms using Python and C++

Technologies

Python
C++
Machine learning (ML)

Preferred Qualifications

Master’s degree or PhD in a related field
3+ years of professional experience in a related field
Experience with SoC/ISP constraints, 3A tuning, or applying Deep Learning to real-time imaging pipelines
Proven track record delivering high-quality, commercial, market-facing consumer cameras
Strong record of self-driven learning and rapid mastery of new technologies and domains
Excellent written and verbal communication skills, with the ability to translate technical concepts into clear, actionable insights for cross-functional partners

Compensation

USD 132,000 - 189,000 per year

Location

Mountain View, CA (onsite)

Benefits

15% bonus target
Equity
Benefits
Health insurance
401k match

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2d ago

Software Engineer, Robotics & Integration

Eyesatop Mahwah, NJ

Mahwah, NJ

2d ago

$180k - $220k/yr Full time Android APIs Drones

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Job Description

This role focuses on integrating drones, sensors, payloads, and third-party technologies into the eyesAtop multi-drone warfare platform.

Responsibilities

Integrate robotic platforms, payloads, sensors, and external software into the eyesAtop platform
Write production-quality code across Java (backend services), C++ (MAVLink and flight controller integration), and Python (scripting and tooling)
Build and maintain the Android control application, the operator interface for commanding drone fleets in the field
Integrate flight controllers and drone subsystems using MAVLink and PX4, bridging low-level hardware behavior to operator-facing software
Debug across software, networking, devices, APIs, field behavior, and operator workflows
Test in simulation, lab, and field environments
Collaborate directly with vendors, pilots, hardware engineers, and product teams
Own integrations end to end, from first connection through deployed capability

Requirements

M.Sc. in Computer Science, Electrical Engineering, Robotics, or Aerospace Engineering (or equivalent hands-on experience with robotics, autonomous systems, drones, or embedded platforms)
3+ years of software development experience with strong skills in Java, C++, Python, or similar languages
Experience with Linux, networking, APIs, serial protocols, devices, or distributed systems
Familiarity with real-time systems, control loops, or embedded platforms
Comfort working close to hardware, even without a dedicated hardware engineering background

Technologies

Java, C++, Python
Android
MAVLink, PX4
Linux
STM32, ESP32, Jetson
Serial protocols

Location

Mahwah, NJ (onsite)
New York Metropolitan Area

Compensation

USD 180,000 - 220,000 per year

Benefits

Dental insurance
Health insurance
Paid time off
Vision insurance

Strong Fit If

Familiar with drone flight stacks (PX4, ArduPilot, Betaflight, or similar) and MAVLink-based communication
Experience with drones, robotics, embedded systems, autonomy, defense, or field-tested systems
Hands-on work with embedded platforms such as STM32, ESP32, Jetson, or similar
Led technical work or owned complex integrations end to end

Application Question

Describe a robotics or UAS integration you personally owned from the first hardware or protocol connection through field deployment. What systems were involved, what code did you write, and what was your specific responsibility?

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3d ago

Machine Learning Engineer

Johns Hopkins Applied Physics Laboratory (APL) Laurel, MD

Laurel, MD

3d ago

$100k - $245k/yr Full time Ai Engineer Ai Ml Artificial Intelligence

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Job Description

The Machine Learning Engineer role at Johns Hopkins Applied Physics Laboratory (APL) supports the full lifecycle of machine learning algorithm development, from design through evaluation and implementation. The work is focused on national defense non-kinetic systems and the development of advanced AI methods and software pipelines for real-world planning and decision-making.

Location

Laurel, MD (onsite)

Salary

USD 100,000 - 245,000 per yearly

Role Summary

As a Machine Learning Engineer, you will design, implement, and evaluate ML algorithms for challenging problems in planning, perception, coordination, and control. The position includes building and integrating intelligent decision-making capabilities, leveraging cutting-edge AI approaches and development pipelines.

Responsibilities

Design, implement, and evaluate advanced machine learning algorithms to address challenging real-world planning, perception, coordination, and control problems for national defense.
Develop software pipelines that connect data streams, simulation environments, and intelligent decision-making algorithms.
Apply technologies and concepts at the forefront of AI, including deep reinforcement learning, foundation models, large language models, convolutional/recurrent/graph neural networks, computer vision, and physics-based modeling and simulation tools.
Collaborate with scientists and engineers within the group and with partner teams across APL.
Engage directly with sponsors to communicate proposed concepts, solutions, and analysis.

Requirements

Have a Bachelor’s degree in Mathematics, Physics, Engineering, Computer Science, or a related field.
Have at least 2+ years of experience in machine learning and data science fields.
Have at least one year of hands-on experience applying or developing machine learning algorithms using common libraries such as PyTorch or TensorFlow.
Have strong foundational knowledge in at least two of the following: classification, clustering, deep learning, reinforcement learning, computer vision (object detection and visual tracking), multi-agent systems, or optimization/control theory.
Demonstrated experience working with version control software such as Git.
Strong communication skills, both verbal and written.
Be able to obtain an Interim Secret security clearance by your start date and ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet requirements for access to classified information, including U.S. citizenship.

Technologies

PyTorch
TensorFlow
Git
Deep reinforcement learning
Foundation models
Large language models
Convolutional neural networks
Recurrent neural networks
Graph neural networks
Computer vision
Physics-based modeling and simulation tools

Preferred Qualifications

You will go above and beyond minimum requirements if you have one or more of the following:

An MS in Mathematics, Physics, Engineering, Computer Science, or a related field.
5+ years of experience designing and implementing AI/ML algorithms for a variety of datasets.
Proven experience applying state-of-the-art deep learning techniques to solve distributed resource allocation problems.
Hands-on experience building computer vision pipelines for detection, tracking, segmentation, or multi-modal sensor fusion.
Experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal.
Comfort working in high performance computing environments (GPU/CPU clusters).
Proficiency in one or more technology areas including multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, or agentic AI.
A track record of writing deployable, production-level code in Python and/or C/C++ for real-world applications.

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4d ago

Data Scientist / Machine Learning Engineer

CorTech Auburn Hills, MI

Auburn Hills, MI

4d ago

Full time Artificial Intelligence Automation Cloud

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Job Description

CorTech is seeking a Data Scientist / Machine Learning Engineer to design, develop, and deploy AI and deep learning solutions for the automotive industry. The role focuses on practical model delivery across computer vision, predictive maintenance, anomaly detection, and generative AI initiatives, with close collaboration across teams.

Role Responsibilities

Design, develop, and deploy AI models, including computer vision and generative AI, to address complex automotive challenges.
Partner with cross-functional teams to understand business needs and identify where machine learning can create measurable value.
Use generative AI models to support innovation in design, R&D, and manufacturing processes.
Optimize existing machine learning models for performance and scalability, leveraging CUDA advanced GPU architectures and parallel computing frameworks.
Design and implement end-to-end machine learning pipelines for data preprocessing, model training, and performance evaluation.
Implement machine learning solutions using Python and deep learning frameworks including PyTorch and TensorFlow.
Apply statistical techniques and machine learning algorithms to solve domain-specific problems in the automotive sector.
Track advances in data science, machine learning, deep learning, and AI, and apply new techniques to support continuous innovation.
Develop and maintain documentation for data analysis methods, model development, and deployment processes to support reproducibility and compliance with industry standards.

Required Qualifications

PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience in machine learning, deep learning, and AI.
Strong command of Python, CUDA, and GPU architectures for parallel computing and model optimization.
Solid knowledge of machine learning architectures and techniques, with emphasis on computer vision and generative AI.
Proficiency with deep learning frameworks such as PyTorch and TensorFlow.
Experience with parallel computing and optimization for high-performance computing environments.
Ability to work collaboratively and communicate complex ideas clearly to non-technical stakeholders.
Innovative mindset and strong interest in solving challenging problems and advancing technical capabilities.
Strong analytical skills, including interpreting complex data and turning results into strategic insights and practical solutions.
Minimum 5 years of experience in a machine learning engineering role, preferably in automotive or a related sector.
Demonstrated experience building and deploying machine learning models for real-world applications.
Self-directed approach with interest in ongoing learning and professional development.
Experience with Agile and a cloud provider such as Azure would be a plus.

Education

PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Location

Auburn Hills, MI (onsite)

Minimum Experience

5 years

Technologies

Python
CUDA
PyTorch
TensorFlow
CUDA advanced GPU architectures
Parallel computing frameworks
Agile
Azure

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6d ago

Senior Machine Learning Engineer

Motion Recruitment Boston, MA

Boston, MA

6d ago

Full time Senior Artificial Intelligence Automation

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Job Description

Motion Recruitment is seeking a Senior Machine Learning Engineer to own the end-to-end machine learning lifecycle for medical-device, robotics, and automation applications. This role focuses on taking sensor data from collection through modeling, then delivering deployable solutions that run on constrained hardware, with close collaboration across embedded/firmware, software, validation, and documentation needs.

What you’ll work on

Develop and troubleshoot workflows for collecting, cleaning, and organizing sensor data
Build and refine ML models for real-time device applications and performance improvements
Partner with firmware teams to embed and test AI features on hardware platforms
Set up and oversee tools for tracking experiments, automating evaluations, and managing deployments
Analyze model behavior, maintain reliability, and resolve issues to keep outputs high quality

Requirements

5+ years of experience
Strong proficiency in Python
Hands-on experience with PyTorch or TensorFlow
Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or equivalent
Experience building sensor data pipelines
Proficiency with MLOps
Solid software engineering fundamentals
Proficiency in C or C++

Nice to have

Experience with physiological signal processing for medical or wearable applications
Background in robotics or autonomous systems
Experience in a startup or small team
Degree in a relevant field

Tools you’ll use

Python, PyTorch, TensorFlow
TFLite, ONNX, CoreML, TensorRT
MLOps, C, C++

Benefits

Bonus OR Commission eligible
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) including match (if applicable)

Location: Boston, MA 02116 (onsite)

Daily responsibility: 100% hands on

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9d ago

Senior Data Engineer - Robotics

Motion Recruitment Wilmington, MA

Wilmington, MA

9d ago

Full time Senior Analytics Apache Airflow

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Job Description

Senior Data Engineer (Robotics) role is onsite in Wilmington, MA with Motion Recruitment. You will build and scale data platforms that help power robotic operations, fleet management, analytics, machine learning, and customer reporting. This is a hands-on position focused on telemetry and streaming at scale, with an emphasis on data quality, reliability, accessibility, and performance.

What you’ll build and improve

100% hands on design and development of scalable pipelines ingesting telemetry from robotic fleets
Real-time and batch processing workflows for robotic system data, supporting operational visibility and downstream analytics
Data solutions for analytics, reporting, and machine learning initiatives
Data models optimized for operational and business intelligence use cases
Monitoring and troubleshooting of pipeline performance, including data quality issues
Support customer-facing analytics and operational reporting solutions
Implementation of data governance, validation, and monitoring processes
Optimization of storage, processing, and retrieval for large-scale operational datasets
Contribute to architectural decisions for cloud-native data platforms and services
Partner with robotics and software engineering teams to improve data collection and accessibility

Core requirements

Strong proficiency in Python and SQL
Experience building and maintaining large-scale data pipelines
Cloud-based data platform experience, with AWS preferred
Knowledge of ETL and ELT frameworks
Experience with data warehousing technologies
Experience processing large volumes of event-driven or streaming data
Knowledge of distributed data systems and scalable architectures
Experience with Spark, Kafka, Airflow, or similar technologies
Strong understanding of data modeling and database design
Software engineering best practices including testing and version control

Technologies you’ll work with

Python, SQL, AWS
ETL, ELT
Spark, Kafka, Airflow
Data warehousing technologies

Compensation and benefits

Bonus OR Commission eligible
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) (including match, if applicable)

Experience and background

5+ years of Data Engineering experience
Experience with IoT, robotics, sensor, or telemetry datasets
Experience supporting machine learning or analytics teams
Familiarity with real-time data processing architectures
Knowledge of warehouse automation, logistics, or supply chain technologies
Experience with Databricks or modern cloud analytics platforms
Bachelor’s degree in Computer Science, Data Engineering, Engineering, or related field
Experience working in a fast-paced startup or high-growth environment