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Senior Full-Stack Solution Architect for AI & Geospatial SaaS Platform
Applied
not specified
7 days ago
1
Hi,
I am evaluating technical resources for the development of a confidential AI-enabled SaaS platform. At this stage I am not sharing the specific industry/product concept, but I would like to understand your technical capability and relevant experience.
The platform will involve:
* React / Next.js frontend
* Python / FastAPI backend
* PostgreSQL / PostGIS
* Map-based interfaces and polygon/geospatial data
* Raster / imagery processing using technologies such as GDAL, Rasterio, GeoPandas or xarray
* Integration with external geospatial/remote-sensing data APIs
* Historical/time-series data comparison
* AI/ML-based anomaly detection and scoring
* External public/private API integrations
* AI/LLM assistant integrated with actual application data
* Cloud deployment, preferably Azure
* Docker and CI/CD
* Object/blob storage and background processing
* OAuth/OIDC, MFA, RBAC and multi-tenant security
* Encryption, secrets/key management, audit logging and backups
* DEV, TEST and PROD environment design
Later phases may also involve computer vision/image classification and additional AI models.
I am specifically looking for someone who can contribute beyond coding and help with solution architecture, database/data design, scalability, security, deployment and technical documentation.
Please let me know:
1. Which of the above areas you have hands-on experience with.
2. Whether you have worked with PostGIS and geospatial/raster data.
3. Whether you have integrated satellite, mapping or similar large imagery/data APIs.
4. Examples of comparable SaaS/data platforms you have architected or developed.
5. Your experience with Azure/AWS and production deployments.
6. Your experience designing secure multi-tenant applications.
7. Whether you can lead the complete architecture or would recommend additional specialists.
8. Which areas you would not personally cover.
The product details can be shared with shortlisted candidates after an initial technical discussion and confidentiality agreement.
Robotics/Mechanical Engineering Research Mentor – Publication + Small Robot Project
Applied
$500
8 days ago
5
I’m looking for a graduate student, PhD candidate, postdoc, or researcher in robotics, mechanical engineering, aerospace engineering, or a related field to mentor a motivated high school freshman/sophomore on two related projects.
1. Research & Publication Project
Help develop a manageable research question at the intersection of robotics/mechanical engineering that can leverage an existing public dataset, rather than requiring a laboratory. The mentor would help identify the question and dataset, develop an analysis plan, guide the student through the analysis, and help structure a manuscript for potential submission to an appropriate student/scientific journal.
This would be a genuine collaboration. As a mentor, you will be a co-author of the resulting manuscript!
2. Small Robotics Build
Separately, help the student select and build a relatively simple but interesting robot/prototype as a freshman–sophomore project. The objective is hands-on exposure to mechanical design, electronics, programming and iterative problem solving—not an overly ambitious build.
Ideal person: Someone who enjoys teaching and can make engineering accessible to a high school student while still encouraging him to do the actual thinking and work.
Initial budget: $200–$500, with the possibility of extending the engagement if there is a good fit.
When applying, please briefly share your robotics/mechanical engineering background and 1–2 research or robot-project ideas you think could be realistic for a high school student.
I already have an initial schematic/design, but it needs to be professionally reviewed and redesigned where necessary before moving to PCB fabrication and certification testing. Ive been using easyeda hope thats not an issue
The project involves:
Li-ion battery + USB-C charging
Controlled heating element with temperature sensing and multiple heat levels
Vibration motor with multiple intensity levels
Small OLED display
MCU controlling the system
Buttons/user interface
Battery, thermal and power management
Potential future wireless functionality
Compact handheld PCB/enclosure
Most important: safety & certification readiness
connectors for the various parts ( thermistor , screen etc)
The electronics need to be designed from the beginning with EU safety and EMC testing in mind, particularly the applicable requirements around battery/charging safety, EMC/ESD and genera product safety.
I am not asking you to guarantee CE/FCC certification. I need the design engineered properly so that avoidable safety, thermal, battery and EMC problems are addressed before laboratory testing.
This includes, where applicable:
Heater fail-safe and over-temperature protection
Battery overcharge/over-discharge/overcurrent/short-circuit protection
Safe USB-C charging architecture
ESD and transient protection
Watchdog/brownout and safe MCU failure states
Proper power integrity for simultaneous heater + motor + OLED operation
Continuous ground/reference strategy
Low-EMI switching regulator and high-current layout
Appropriate PCB stackup 4-layer pcb
Thermal analysis and component derating
Production test points
DFM/reliability considerations
dimensions ( 15x61.5mm) but can be adjusted and changed
Appropriate protection and filtering designed into the schematic/PCB rather than added after failed testing
some of these i already started on the prototype schematic but would need review.
I also need the MCU and small OLED screen selected as part of the overall system architecture, considering memory, display requirements, GIF/image storage, power consumption. My initial budget is 200- 350$ but open for negotiation if mutual agreement is met. Thanks
We are looking for an experienced PCB / Embedded Hardware Engineer to review an existing IoT hardware design and help prepare it for production.
The prototype, schematic, PCB layout, firmware, and main component selection have already been developed. This is not a design-from-scratch project. We need a senior engineer who can independently review the existing design, identify risks, and recommend improvements before manufacturing and certification.
Scope of Work
* Review schematic and multilayer PCB layout
* Verify component selection and compatibility
* Review power supply and battery circuitry
* Review STM32-based hardware design
* Review LoRaWAN, NB-IoT, GSM, and NFC integration
* Review ultrasonic sensing and analog front-end circuitry
* Check grounding, filtering, protection, signal integrity, and PCB layout
* Review RF design and antenna considerations
* Review EMC/EMI risks
* Review DFM and DFT requirements
* Identify reliability, manufacturing, and certification risks
* Provide clear recommendations and required design changes
Ideal Experience
You should have strong experience with:
* Embedded electronics and multilayer PCB design
* STM32 or similar MCUs
* Low-power/battery-powered IoT devices
* RF and wireless hardware
* Analog and digital electronics
* EMC/EMI design
* Hardware debugging and validation
* DFM/DFT and mass production
* Product certification/pre-compliance testing
Experience with ultrasonic electronics, LoRaWAN, cellular modules, NFC, and production IoT products is highly preferred.
We need a developer to support a robotics project focused on vision and perception. The work includes integrating vision SDKs, building reliable software for robotic systems, and helping improve performance and stability. You should be comfortable working with robotics software environments and collaborating on practical implementation challenges. This is a part-time role for someone who can contribute to ongoing development and testing efforts.
Our SDK is here:
https://shorturl.at/sShWB
Client's questions:
Your experience with Jetson nvidia or other framework
Your experience with Robotics software
your experience with robotics SDK
Fixed budget:
50 USD
11 days ago
Web, Mobile & Software Dev, Other - Software Development
We are looking for an experienced Embedded Systems / AI Developer to help develop a next-generation AI dashcam and road-intelligence platform.
The prototype will combine:
- Multi-camera video
- Edge AI / computer vision
- Traffic-light and traffic-sign recognition
- ADAS and Driver Monitoring
- GNSS and CAN/CAN-FD
- 4G/5G connectivity
- Local/cloud recording
- Future Vision360 and predictive safety features
Preferred experience includes NVIDIA Jetson/DRIVE, Qualcomm or Ambarella platforms, Embedded Linux, C/C++, Python, OpenCV, TensorRT/ONNX, automotive cameras, CAN, and edge AI.
Interview Requirement
Shortlisted candidates will be asked to prepare a brief technical study (5–10 slides) covering:
- Recommended hardware and AI platform
- Camera and connectivity architecture
- Software/AI architecture
- Estimated prototype cost
- Main technical risks
- Development approach and timeline
- Scalability toward Vision360 and FutureShield
The study is intended to demonstrate your technical understanding and system-architecture approach; a complete engineering design is not required.
When applying, please share relevant projects, your technical expertise, availability, estimated cost, and confirm that you are willing to prepare the technical study if shortlisted.
Hourly rate:
5 - 10 USD
17 days ago
Web, Mobile & Software Dev, Other - Software Development
ROS 2 AMR – Motor, LiDAR SLAM & Autonomous Navigation Integration
Applied
~16 - 131 USD
17 days ago
-
I have a differential-drive autonomous mobile robot running ROS 2 and need the whole motion stack stitched together around a pair of Nidec motors driven by an FBL2360TE controller. Your first task will be bringing that controller and its quadrature encoders cleanly into ROS 2 so accurate wheel odometry publishes through TF.
From there the sensing layer comes in: a 2-D LiDAR already mounted and producing good scans. I plan to build the map with SLAM Toolbox, so the integration work must ensure scan topics, transforms and static frames are perfectly aligned for reliable loop-closure.
The biggest hurdle I anticipate is Nav2 autonomous navigation; path planning, obstacle avoidance and localization must run smoothly on-board with minimal CPU overhead. Once the stack is functional in simulation, we will move to the physical robot for tuning—PID on the FBL2360TE, inflation parameters, recovery behaviors, velocity limits and safety checks.
Deliverables
• ROS 2 nodes or launch files that interface the FBL2360TE, publish /cmd_vel and encoder odometry, and broadcast TF frames.
• SLAM Toolbox configuration producing a consistent map in our warehouse environment.
• Fully configured Nav2 stack demonstrating live localization, global & local path planning and dynamic obstacle avoidance.
• Step-by-step test procedure and final real-world validation video or bag files showing a complete autonomous run.
Hands-on experience with ROS 2, TF2, encoder math, Nav2 tuning and, ideally, the Nidec/FBL2360TE hardware will let you move quickly. If that sounds like your skill set, let’s start building.
I am deep into a ROS 2 + MoveIt workflow and my current road-block is getting the Baxter robot arm to run cleanly in simulation. Move groups load, but trajectory execution drops frames and joint limits occasionally mis-report, so I need a seasoned eye to trace the problem through the URDF, controllers, and MoveIt plugin chain.
Once Baxter is steady I want to pivot to an unmanned car scenario in the same ROS 2 environment—think full-stack bring-up of sensors, navigation stack, and path-planning algorithms—so fluency with algorithm profiling and optimisation across platforms will be valuable.
Key deliverables
• A fully functional Baxter arm simulation that plans and executes repeatable, accurate motions without controller or kinematic errors
• Step-by-step notes or patched files so I can reproduce the fix from a clean workspace
• Starter launch package for the ROS 2 unmanned car experiment, including sample maps, sensor stubs, and a working navigation pipeline
• Brief summary of algorithm changes or parameter tweaks you made and why they matter
Acceptance criteria
1. Baxter trajectories run at 1× real time for at least ten consecutive pick-and-place cycles with no joint limit or self-collision violations.
2. Unmanned car sim boots with obstacle avoidance enabled and can follow a 30 m waypoint path without collision in simulation.
If you are comfortable dissecting MoveIt behaviour, tweaking planners, and hopping between arm and vehicle simulations, I’d love to collaborate.
I’m working on an early-stage wearable hardware concept and I’m looking for someone who can help develop a small number of functional prototypes.
The device would be very compact and would include Bluetooth connectivity, a 3-axis accelerometer/IMU for motion tracking, and another sensor. The goal at this stage is simply to complete a personal project.
Please reach out to discuss! Thank you for your time
Necesito programar un brazo robótico industrial capaz de recoger bobinas de papel directamente de la línea y colocarlas ordenadamente sobre un palet. El ritmo objetivo es menor a 50 bobinas por hora, así que la prioridad está en la fiabilidad y la suavidad del movimiento más que en la velocidad extrema.
El trabajo incluye la definición completa de trayectorias, puntos de captura y liberación, ajustes de agarre según diámetros variables y la lógica de comunicación con el PLC que indicará el fin de cada bobina. Quiero que el patrón de paletizado sea modificable (habitualmente dos o tres capas alternas) y que el operador pueda cambiarlo desde el panel del robot sin necesidad de reprogramar.
Entrego las especificaciones mecánicas del gripper y los sensores disponibles; tú me devuelves:
• Código cargable en el control del brazo (ABB, KUKA o FANUC; acepto tu recomendación).
• Rutina parametrizada para diámetros de 500 – 1200 mm y pesos de hasta 150 kg.
• Simulación offline o vídeo demostrativo antes de la puesta en marcha.
• Manual breve de ajuste y copia de seguridad del programa.
Aceptarémos la entrega cuando el sistema trabaje ocho horas continuas, sin dañar bobinas y manteniendo la cadencia solicitada. Si ya has implementado celdas de paletizado similares, me encantará revisar tu propuesta y tiempos de entrega.
Skills: Translation, Electronics, Electrical Engineering, Robotics, Spanish Translator, Robotic Process Automation, Robot Operating System (ROS), Robot Kinematics & Dynamics
Overview
We are developing an advanced autonomous robotic system tailored for the [insert industry, e.g., logistics, agriculture, smart manufacturing] sector. We are looking for a highly skilled and proactive Robotics Engineer to join our team on a freelance/contract basis.
You will be responsible for designing, simulating, and implementing core algorithms for perception, motion planning, and control. If you have a proven track record of bringing robotic concepts to life through robust software architecture and high-fidelity simulation, we want to hear from you.
Key Responsibilities
Architect, develop, and maintain high-performance, production-grade software using C++ and Python for autonomous robotic systems navigating complex and dynamic environments.
Design and implement advanced algorithms for simultaneous localization and mapping, global and local path planning, and dynamic obstacle avoidance utilizing established computational geometry techniques.
Utilize the Robot Operating System ROS and the ROS2 data distribution service to build modular, highly scalable, and fault-tolerant software architectures capable of handling strict real-time constraints.
Integrate and synchronize high-bandwidth data streams from disparate sensors including 3D LiDAR, depth cameras, Inertial Measurement Units, and wheel encoders into a cohesive and accurate perception pipeline.
Develop highly accurate physics-based simulations utilizing tools like Gazebo or Isaac Sim to validate complex control algorithms rigorously before physical hardware deployment.
Bridge the gap between low-level embedded motor controllers and high-level autonomous decision-making software by developing robust hardware abstraction layers and custom device drivers.
Conduct rigorous hardware-in-the-loop testing and continuously monitor robotic system performance to identify computational bottlenecks and execute aggressive memory and CPU optimization strategies.
Enforce strict code quality by writing comprehensive unit tests, integration tests, and conducting peer code reviews to ensure adherence to architectural standards and safety-critical protocols.
Produce and maintain comprehensive technical documentation detailing system architecture, state machine logic, hardware integration protocols, and complex sensor calibration workflows.
Requirements & Qualifications
A minimum of three to five years of proven professional experience in robotics software engineering specifically focused on deploying autonomous systems into real-world unstructured environments.
Exceptional proficiency in modern C++ standards, specifically C++14 and C++17, and Python, tailored explicitly for real-time control systems and embedded Linux environments.
Deep, practical knowledge of modern robotic frameworks, prominently the Robot Operating System ROS and the ROS2 ecosystem, including writing custom nodes, action servers, and managing node lifecycles.
Solid mathematical foundation and practical grasp of inverse kinematics, rigid body dynamics, control theory algorithms like Proportional-Integral-Derivative controllers, and probabilistic robotics concepts.
Demonstrated expertise in sensor fusion techniques and state estimation utilizing Extended Kalman Filters or Particle Filters to ensure accurate and robust robot localization.
Hands-on experience with computer vision and point cloud processing utilizing industry-standard libraries such as OpenCV and Point Cloud Library.
Practical understanding of standard hardware communication protocols including Controller Area Network bus, Universal Asynchronous Receiver-Transmitter, Serial Peripheral Interface, and Inter-Integrated Circuit.
Advanced proficiency with distributed version control systems, specifically Git, encompassing complex branching strategies and collaborative pull request workflows integrated with automated hardware testing pipelines.
Excellent analytical reasoning capabilities, paired with the ability to troubleshoot complex electro-mechanical software integration issues independently.
Strong English communication skills for drafting comprehensive technical documentation and articulating complex architectural concepts to multidisciplinary teams.
Nice to Have
Prior exposure to Machine Learning and Artificial Intelligence algorithms for object detection and semantic segmentation.
Practical experience programming embedded systems and microcontrollers using low-level C.
Familiarity with reading complex electrical schematics and understanding fundamental circuit board designs.
Experience deploying robotic applications in industrial automation, logistics, or unstructured outdoor environments.
