Mechatronics

Mechatronics Developer Jobs

51 jobs found

2d ago

Machine Learning Engineer, Computer Vision

Apple Cupertino, CA

Cupertino, CA

2d ago

$150k - $278k/yr Full time Artificial Intelligence Automation Computer Vision Model Deployment

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Job Description

Apple is seeking a Machine Learning Engineer to focus on computer vision and vision-language models (VLMs) that support object understanding and recognition across Apple devices. The work centers on building models that perform reliably on real-world data and on defining evaluations that align with product quality. You will also help shape approaches that meet on-device constraints such as memory, latency, and power.

What you’ll do

Design, train, and continuously improve computer vision and VLM models for object understanding and recognition.
Strengthen model robustness for real-world conditions across devices, identifying and fixing failure modes using real data.
Define evaluation methods that reflect product quality and use them to guide model decisions.
Develop model approaches suitable for on-device constraints, including memory, latency, and power requirements.

Required qualifications

Ph.D. or Master’s in Computer Science, Machine Learning, Computer Vision, or a related field, or equivalent industry experience.
Strong foundations in computer vision and deep learning.
Proven ability to deliver end-to-end projects that cover data, training, and evaluation on real-world visual data.
Proficiency in Python and PyTorch (or an equivalent deep learning framework).
Proficiency using generative coding tools.
Rigorous experimentation skills, including clear baselines, ablations, and meaningful evaluation datasets.

Preferred qualifications

Publications in top computer vision or machine learning venues (CVPR, ICCV, ECCV, NeurIPS, ICLR), ideally with released code or work transferred to a product.
Experience in representation learning, such as self-supervised learning, metric learning, retrieval, or recognition.
Experience applying machine learning in an industry or product setting.
Experience with knowledge distillation or model compression.
Familiarity with vision-language models.

Compensation and location

Location: Cupertino, CA (onsite)
Salary: USD 150,400 - 277,600 per year

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Range of discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments, as well as relocation
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards, and ability to purchase Apple stock at a discount through voluntary participation in the Apple Employee Stock Purchase Plan

Note: Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Base pay is one part of total compensation and is determined within a range based on skills, qualifications, experience, and location.

Tech stack

Python
PyTorch

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2d ago

Embedded Software Engineer – Machine Vision & Embedded Systems

INTERNATIONAL ELECTRONIC MACHINES, CORP (IEM) Troy, NY

Troy, NY

2d ago

$75k - $85k/yr Full time Automation Computer Skills Data Processing

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Job Description

INTERNATIONAL ELECTRONIC MACHINES, CORP (IEM) is hiring an Embedded Software Engineer to build embedded software for machine vision systems and industrial measurement applications. Based at IEM’s headquarters in Troy, NY, this role supports the full product development lifecycle, from integration and testing to documentation and occasional troubleshooting or field support.

You will work on embedded computing and sensing workflows, including camera and sensor interfaces, data acquisition, and signal or image processing algorithms used in operational environments.

Role focus

Design, develop, test, and maintain embedded software for microcontrollers, embedded computers, and custom electronic systems.
Develop software to interface with sensors, cameras, data acquisition hardware, and other electronic devices.
Implement signal processing, image processing, and measurement algorithms for industrial applications.
Integrate embedded hardware and software into complete, operational systems.
Create tools and applications for data collection, analysis, visualization, and system diagnostics.

Development and validation

Use AI-assisted software development tools to improve development efficiency, debugging, testing, and documentation.
Independently validate generated code for correctness.
Troubleshoot complex hardware/software interactions and address performance, reliability, and integration issues.

Collaboration, testing, and documentation

Collaborate with other engineers through design, prototyping, testing, and deployment.
Participate in laboratory testing and system validation.
Support occasional field installations or troubleshooting.
Prepare and maintain technical documentation, including software design descriptions, test procedures, and engineering reports.

Required qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline, or equivalent practical experience.
At least 2 years of professional or substantial hands-on experience developing and debugging embedded software.
Strong programming skills in C and/or C++, with experience in Python or a comparable language.
Experience with embedded computing platforms, microcontrollers, or hardware-interfacing software.
Familiarity with sensors, analog-to-digital conversion, digital interfaces, and electronic hardware fundamentals.
Experience developing, testing, and debugging software that interacts directly with hardware.
Familiarity with signal processing, image processing, or numerical data analysis.
Experience with software version control systems, particularly Git.
Ability to independently investigate technical problems, develop solutions, and validate results.
Strong analytical, troubleshooting, communication, and documentation skills.
Self-motivated and adaptable, comfortable learning new technologies and working across multiple engineering disciplines.

Technologies you may use

C, C++, Python, Git
Microcontrollers, embedded computers
Signal processing, image processing
AI-assisted software development tools
OpenCV, MATLAB, LabVIEW, PyTorch
Visual Studio
TCP/IP sockets
STL, Boost, Linux, Rust, C#, .NET

Schedule and location

Location: Troy, NY 12180 (onsite at IEM headquarters)
Schedule: Monday through Friday, with scheduling flexibility as appropriate
Work may include office-based development, hands-on laboratory activities, equipment testing, and occasional industrial or outdoor field installations
Occasional travel to customer locations may be required

Compensation

USD 75,000 - 85,000 per year

Benefits

401(k) retirement plan with company matching
Health insurance
Dental and vision insurance
Flexible spending account
Paid time off
Flexible work scheduling

Preferred qualifications

Microcontroller firmware development and hardware-level debugging.
Linux-based embedded systems and single-board computers.
Sensor integration, data acquisition, and real-time measurement systems.
Ability to interpret electronic schematics, wiring diagrams, and mechanical drawings.
Modern C/C++, Python, Rust, C#, or .NET development.
Linux software development, scripting, and system configuration.
Network programming, TCP/IP sockets, and communication protocols.
Experience with libraries and development environments such as STL, Boost, OpenCV, MATLAB, LabVIEW, PyTorch, and Visual Studio.
Software engineering practices including modular design, code reviews, unit testing, regression testing, and continuous integration.
Machine vision, camera integration, image processing, or optical measurement systems.
Digital signal processing, statistical analysis, and algorithm development.
MATLAB, Python scientific computing libraries, or similar engineering analysis tools.
Machine learning, AI model development, or practical integration of AI into engineering applications.
Effective use of AI-assisted coding tools for development, troubleshooting, test generation, and documentation.
Ability to critically evaluate AI-generated code for correctness, efficiency, reliability, and hardware compatibility.
Experience developing and testing complete electromechanical or electronic systems.
Participation in R&D, prototyping, product design, or commercialization.
Technical project coordination, task ownership, or project oversight.
Strong technical writing skills, including requirements, specifications, test reports, and design documentation.
Three or more years of relevant experience is preferred.

Application details

Please submit your resume and a brief cover letter describing your technical background, relevant experience, and interest in this position.
IEM encourages examples of completed projects or technical accomplishments, including embedded software, machine vision, sensor integration, or other related engineering work.
Examples may include project descriptions, code samples, technical reports, or links to portfolios or repositories if they can be shared without violating confidentiality or intellectual property obligations.

Work authorization and equal opportunity

Applicants must be legally authorized to work in the United States.
Candidates who do not require employer-sponsored work authorization are preferred.
IEM Corporation is an equal opportunity employer and considers qualified applicants without regard to protected characteristics.

Learn more about IEM at https://www.iem.net.

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4d ago

AI and Image Processing Software Engineer

ASP Health Inc. Northbrook, IL

Northbrook, IL

4d ago

$70k - $90k/yr Full time APIs Applied Ai Artificial Intelligence

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Job Description

ASP Health Inc. is an early-stage commercial company building medical devices and bringing them to market, with software playing a central role in turning imaging data into reliable clinical assistance. This onsite position in Northbrook, IL focuses on medical image processing and AI for cytology and pathology microscope slide images, supporting AI-assisted assessment through model development, validation, and deployment.

You will help create and operationalize image processing and AI workflows that span from labeled data and validation studies to production software and cloud or edge inference. The work is closely tied to the company’s device roadmap, including workflows that prepare and image biopsy samples and a digital microscope experience enhanced with AI and image processing.

What you’ll do

Develop, optimize, test, and validate image processing models, algorithms, and software.
Create, maintain, and improve image processing systems, libraries, and frameworks.
Collaborate with cytopathologists on annotation protocols and manage labeled image datasets and annotation workflows, including integration with CVAT, data quality auditing, cloud storage, and traceable dataset versioning.
Design model validation studies with appropriate data splits and clinical performance metrics (including examples like sensitivity and specificity for sample adequacy), ensuring consistent performance across sites, operators, stain batches, and devices.
Analyze performance and optimize models for real-time, on-device inference, targeting defined latency and reliability goals using tools such as ONNX and TensorRT and embedded GPU platforms.
Build and maintain cloud-based AI infrastructure on Google Cloud Platform (GCP), including data storage, compute resources, automated data pipelines, resource optimization, and model deployment workflows.
Develop and maintain production software that integrates AI models into the company’s imaging platform, connecting image acquisition, inference pipelines, prediction metadata, image visualization, and clinician-facing interfaces.
Build, optimize, and troubleshoot GPU-accelerated training and inference workflows, including multi-GPU training, checkpoint/restart functionality, memory optimization, and performance benchmarking.
Develop and maintain production Python applications, including backend services, APIs, and multiprocessing workflows.
Develop, maintain, and troubleshoot Windows-based software applications, including desktop user interfaces, software packaging, installation, and release management.
Apply software engineering best practices such as automated testing, logging, error handling, debugging, version control, and reproducible builds to support reliability and maintainability.
Independently own software solutions across the full application stack while collaborating with cross-functional teams to meet performance, reliability, and scalability needs.

What you’ll bring

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
3+ years of experience in a related position.
Strong programming skills in Python and C++.
Experience with medical image processing, especially microscopy and cytology/pathology (for example, whole-slide imaging or digital pathology systems).
Hands-on experience training and evaluating deep learning models for segmentation, detection, or classification using frameworks such as PyTorch or TensorFlow, including work with limited labeled data.
Understanding of computer vision techniques.
Experience developing and operating machine learning workflows on cloud infrastructure such as GCP (cloud storage, GPU compute, Python-based training pipelines, and resource monitoring such as Prometheus); AWS or Azure experience is acceptable.
Experience with the software development lifecycle and methodologies.
Experience with version control for code, data, and models (such as Git, DVC, MLflow).
Knowledge of signal processing and mathematical modeling.
Experience with GPU programming and optimization.
Experience working in healthcare, medical devices, or biotech.
Knowledge of image preprocessing, compression, and enhancement techniques.
Experience deploying models on edge or embedded hardware (for example, ONNX, TensorRT, NVIDIA Jetson).
Eagerness to learn, grow, and take on many challenges and opportunities across the company.

Tech you’ll work with

Python, C++, PyTorch, TensorFlow
Google Cloud Platform (GCP)
CVAT, ONNX, TensorRT, embedded GPU, Windows
Mult-GPU training, Prometheus
AWS, Azure
Git, DVC, MLflow
NVIDIA Jetson, multiprocessing workflows, APIs

Compensation and schedule

Salary: $70,000.00 - $90,000.00 per year
Work location: In person
Location: Northbrook, IL (onsite)
Schedule: Flexible schedule and adaptive work schedule

Benefits

Dental insurance
Disability insurance
Flexible schedule
Flexible spending account
Health insurance
Health savings account (HSA)
Life insurance
Paid time off
Retirement plan
Vision insurance
Company-paid life insurance
Optional medical/dependent care FSA
401k
Health/dental/vision
Paid holidays
Adaptive work schedule

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5d ago

Software Engineer, Sensing Systems

CHAOS Industries El Segundo, CA

El Segundo, CA

5d ago

$154k - $211k/yr Full time Backend Developer Python Automation

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Job Description

CHAOS Industries is building software for long-range electro-optical and infrared sensor systems that operate as one. This onsite role on the electro-optical team supports a field-first development culture where your code is exercised from early commits through simulation, hardware-in-the-loop, and end-to-end tests. You will also help keep deployed systems healthy with monitoring and live fixes for edge hardware at test and customer sites.

What you’ll build

Software designed to work across sensor types, keeping the code generic across multiple camera heads and configurations while still meeting performance targets and adapting to mission and customer demands.
A practical path from desk to field, using harnesses and graphs that reduce manual effort while taking capabilities from first commit through simulation and hardware-in-the-loop to complete end-to-end test runs.
Autonomous field testing that runs full tests against real hardware at test sites on its own and reports back results.
More test coverage earlier by improving simulation and replay so features are proven before they touch hardware.
Multi-sensor integration, including interfaces, timing, and data flow that allow radar, cameras, and other sensors to function together as a single system.
Fielded software capabilities such as deployment, monitoring, and live fixes for systems running on edge hardware at test and customer locations.

Required background

3+ years of professional software engineering with ownership of a production system end to end, including designing, shipping, and fixing it in real life.
A degree in Computer Science, Engineering, Physics, or a related field (or equivalent experience).
Strong Python, including building services and tools that other engineers rely on, not just scripts and notebooks.
Comfort with Linux, Docker, networking, and CI, with experience bringing a multi-service system up on hardware you have not previously used.
Ability to use AI coding tools such as Cursor or Claude Code effectively, with a thoughtful view on what to delegate and what not to.
Grounding in the physical world, including the ability to read a schematic, understand a test rack, and collaborate with optics or RF engineers (through education, hardware or sensor work, robotics, or field experience).
Willingness to do field work, including debugging and shipping fixes before the next flight.
A measurement-driven approach: build the experiment, then trust the data.

Tools you may use

Python, Linux, Docker, Cursor, Claude Code, MATLAB, Simulink, CI, GStreamer, DeepStream, NVIDIA Jetson, GPU, CUDA, C++, TypeScript, Gazebo, Isaac Sim, Unreal.

Benefits

Medical, dental, and vision benefits 100% paid by the company
401k with +50% company match up to 6% of pay
FSA, HSA, life insurance, and more
Free daily lunch while working onsite
Fully-stocked kitchen
Unlimited PTO
Casual dress code
Relocation assistance
Pre-IPO stock option grants
Annual bonuses (coming soon)

Role scope

This role is not algorithm research, physics modeling in MATLAB/Simulink, applied machine learning training, or pure DevOps.

Nice to have

Cameras, EO/IR sensors, gimbals, radar, or video pipelines such as GStreamer or DeepStream
Embedded Linux or edge computing, especially NVIDIA Jetson, plus GPU/CUDA work
Robotics, autonomous vehicles, drones, or aerospace
Hardware-in-the-loop test rigs or test automation against real hardware
Simulation or game-engine work (Gazebo, Isaac Sim, Unreal, or similar)
Building AI agent harnesses or workflow graphs
C++ or TypeScript
Defense or aerospace experience, or a current U.S. security clearance

Location and eligibility

Onsite in El Segundo, CA
Regular travel to test sites and field deployments
U.S. Person status required due to access to U.S.-only data systems
Ability to obtain and maintain a U.S. security clearance

Compensation: USD 154,000 to 211,000 per year.

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8d ago

Staff, Data Engineer

Walmart Sunnyvale, CA

Sunnyvale, CA

8d ago

$110k - $286k/yr Full time Artificial Intelligence Automation Big Data

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Job Description

Build enterprise-grade data platforms that turn automation and sensor activity into decision-ready intelligence. On Walmart Global Tech’s Global Data Foundations team in Sunnyvale, you’ll work on systems that support supply chain automation, real-time visibility, and scalable AI-powered operational insights.

What you’ll do spans platform engineering and product-facing data engineering: transforming large-scale automation, robotics, IoT, and telemetry data into intelligence, then partnering with product and business teams to apply data, software, and AI to complex supply chain challenges.

Responsibilities

Build and scale enterprise platforms enabling Walmart’s Supply Chain Automation efforts, including Digital Twin, Predictive Maintenance, warehouse intelligence, and operational analytics.
Develop high-performance data products, including APIs, microservices, and user-facing applications that process large-scale automation, robotics, IoT, sensor, and operational data.
Partner with product, operations, and business teams to address supply chain problems using data, software, and AI.
Use AI-assisted development tools, coding agents, and prompt-driven engineering practices to speed innovation while maintaining reliability, scalability, observability, and operational excellence across business-critical systems.

Requirements

Strong experience building large-scale distributed data and software platforms using technologies such as Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React, APIs, and cloud-native architectures.
Proven expertise in data engineering, backend development, event-driven systems, real-time data processing, and scalable application design.
Experience with high-volume IoT, telemetry, sensor, automation, or machine-generated data is highly desirable.
Interest in applying AI and automation to solve complex business problems, with hands-on experience using AI-powered development tools, coding agents, and prompt-driven workflows.
Strong problem-solving, ownership, and collaboration skills, with the ability to deliver business impact at enterprise scale.
Minimum education and experience must meet one of the following:
- Bachelor’s degree in Computer Science and 4 years of software engineering (or related field).
- 6 years of software engineering (or related field).
- Master’s degree in Computer Science and 2 years of software engineering (or related field).
- 3 years of data engineering, database engineering, business intelligence, or business analytics.

Technologies you may work with

Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React, APIs, cloud-native architectures, microservices
Digital Twin, Predictive Maintenance, Computer Vision, robotics telemetry, IoT analytics, SCADA

About the team

The Global Data Foundations E2E Supply Chain Automation team builds Walmart’s enterprise platform for warehouse automation intelligence.
The team enables Digital Twin, Predictive Maintenance, Computer Vision, robotics telemetry, IoT analytics, and operational intelligence by integrating data across automation platforms used in supply chain warehousing and transportation next gen applications.
Mission: create a unified intelligence layer for real-time visibility, predictive insights, and scalable AI-powered automation across Walmart’s supply chain ecosystem.

Benefits

Performance-based bonus awards
Medical, vision and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO (including sick leave)
Parental leave; Family care leave; Bereavement
Jury duty; Voting
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
PTO and/or PPTO
Live Better U (Walmart-paid education benefit program for associates)

Location: Sunnyvale, CA (onsite).
Primary address: 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America.

Compensation: USD 110,000 - 286,000 per year.

Experience level: 3+ years required.

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11d ago

Machine Learning Engineer

Dezign Concepts LLC McLean, VA

McLean, VA

11d ago

Up to $190k/yr Full time Python Ai Ml Artificial Intelligence

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Job Description

Dezign Concepts LLC builds AI systems that turn large, complex inputs into actionable answers. This onsite role in McLean, VA focuses on developing and adapting Large Language Models (LLMs) and NLP methods using established AI/ML frameworks to strengthen analytic workflows and support intelligence questions across structured and unstructured data.

Responsibilities

Leverage open source, best-in-class models to create new models and ensemble approaches that can be re-purposed and reused, including classification systems.
Develop supervised model architectures using CNN, Unet, YOLO, or similar approaches, with fine tuning and transfer learning.
Create unsupervised capabilities using DBSCAN, K-Nearest, Adaboost, or similar methods.
Build prediction systems, including predictors such as LSTM and UConv, and regressors such as Bayesian and linear approaches.
Implement fusion approaches at the sensor level and entity level.
Support decision-making tasks including task assignments, combinational and parametric optimizations, reinforcement learning, path planning, or similar approaches.
Develop generative model capabilities including LLMs and stackable LLMs.
Apply machine learning, AI, deep learning, and NLP methods across areas such as text classification, NLP topic and language modeling, sentiment analysis, and information retrieval.
Work on recommender systems and personalization, threat detection, computer vision, data mining, and statistics as needed.
Analyze large raw datasets (including text) to determine training and testing utility.
Preprocess and clean structured and unstructured sponsor data.
Design and implement advanced ETL code and table configurations for complex datasets.
Use SQL to develop and organize relevant information, including query design and data structuring.
Collaborate within a team environment; author analytic publications and produce ad-hoc reports with data visualizations using sponsor templates.
Document methods in GitHub and implement the sponsor’s existing coordination process.
Provide ad-hoc technical education to staff and provide AI/ML subject matter expertise to support sponsor initiatives.

Requirements

US Citizenship required.
Active Top Secret SCI with Poly required (existing clearance is required).
Minimum Bachelor’s Degree required.
Expert-level experience required.
Demonstrated experience tuning neural networks, such as LLMs, on custom datasets and applying results to specific use cases.
Demonstrated professional or academic experience using Python or R.
(KEY) Demonstrated professional or academic experience developing models and ensembles, including selecting Python libraries, choosing preprocessing actions, analyzing, and assessing model performance.
(KEY) Demonstrated experience testing, evaluating, or validating AI system performance, with a focus on LLM-based systems.
(KEY) Demonstrated experience in experiment design and execution to test LLM performance against a benchmark.
(KEY) Demonstrated experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
(KEY) Demonstrated proficiency with SQL, including common table expressions, set operations, aggregated functions, and nested subqueries.
(KEY) Demonstrated experience leveraging GPUs for accelerated computing.
Demonstrated experience with version control systems such as GitHub and Jenkins.

Technologies

Python, R, SQL
TensorFlow, PyTorch, Keras
CNN, Unet, YOLO, DBSCAN, K-Nearest, Adaboost
LSTM, UConv, Bayesian
Reinforcement Learning, Path Planning
LLMs, Stackable LLMs
GitHub, Jenkins
GPUs, HuggingFace Transformers library, HuggingFace hub, Flask
SciKit Learn, Tableau, ONNX

Benefits

Medical, Dental, Vision, Health Savings Account and more.
Paid Time Off, Holidays, Social Events, Employee Assistance Program, and Team Building.
401K, Tuition Assistance, Annual and Referral Bonuses.

Clearance

Active Top Secret Clearance with Poly Required.
Please note: This job requires an existing Top Secret Clearance and Polygraph.

Travel

Local travel/POV will be on an as needed basis, within the local place of performance.

Highly Desirable (Not Required)

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
Demonstrated experience with cloud computing development and architecture.
Demonstrated experience with front-end web development frameworks such as Flask.
Experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn) or deep learning models.
Experience developing applications for semantic search.
Proficiency with Tableau to produce visualizations and dashboards.
Experience communicating methodological choices and model results.
Experience with verification and validation test benches.
Experience with Explainable AI (XAI) techniques.
Experience with ONNX (Open Neural Net Exchange).

Salary

USD 190,000 per year; salary is commensurate with education and experience (range: up to $190K).

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12d ago

Junior Software Engineer – Robotics & Autonomous Systems

Marcurius Multi-Mission Solutions Clearwater, FL

Clearwater, FL

12d ago

Full time Automation Autonomous Systems Autonomy

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Job Description

Onsite Junior Software Engineer role focused on building and integrating software for unmanned and autonomous maritime systems.

Responsibilities

Develop, test, debug, and maintain software components using Python, C++, or other relevant technologies
Support end-to-end software development and integration for unmanned and autonomous maritime systems
Work closely with software, hardware, and systems engineers to address technical challenges
Contribute to embedded software development and integration with microcontrollers, sensors, and onboard systems
Assist with robotics, autonomy, and machine learning-related development activities
Help build and support frontend interfaces, databases, and supporting software tools as needed
Participate in hardware/software integration, prototype development, and system testing
Troubleshoot software defects, investigate root causes, and implement improvements
Maintain clear code documentation and follow established development and version control practices
Own assigned development tasks while supporting broader engineering projects

Requirements

Strong programming fundamentals with practical experience in Python or C++
Familiarity with Linux-based development environments
Ability to write, debug, and troubleshoot software through academic, personal, or professional projects
Strong analytical thinking and problem-solving skills, plus willingness to learn new technologies
Interest in working across software development, embedded systems, and hardware integration
Capability to collaborate with engineers while independently driving assigned tasks

Technologies

Python, C++
Linux
Microcontrollers, sensors
Machine learning
Frontend, databases
Version control
Arduino, Raspberry Pi

Preferred Qualifications

Degree in Computer Science, Software Engineering, Robotics, Computer Engineering, or a related technical field
Familiarity with microcontrollers and embedded systems, including Arduino and Raspberry Pi or similar platforms
Interest in or exposure to robotics, autonomous systems, artificial intelligence, or machine learning
Experience with frontend development, databases, Git, or related software development tools
Personal software projects, GitHub repositories, or hands-on engineering work demonstrating initiative

Work Environment

Onsite engineering and integration environment
Direct involvement in prototype development and system testing, including sea trials
Fast-paced development cycles with aggressive timelines
Close collaboration with multidisciplinary engineering teams
Customer, end-user, and internal team-facing activities