Jobs Robotics Engineer

We're hiring a Software Engineer and Security Researcher to help build our top-tier cybersecurity product. This is a hybrid role by design: a strong software engineer who also brings a deep cybersecurity background. Strong engineering velocity is how features get

shipped; serious security expertise is how those features get shipped right. You should have an understanding of how attackers and defenders actually operate.

The product space is CSPM/CNAPP-related, but extends beyond it. Expect to work across cloud posture, identity, attack paths, prioritization, detection, and adjacent areas as the product

evolves. The pace is high. AI is part of how we work, every day.

Responsibilities

• Design, build, and ship product features end-to-end: from security research to

  architecture and production code to release.

• Apply cybersecurity expertise to every feature decision: what to detect, how to model

  risk, what makes a finding actionable, where customers will be misled by noise, and how

  to translate raw cloud signal into something a security team can trust and act on.

• Own cloud security capabilities across CSPM and beyond: posture, identity, attack

  paths, severity/prioritization, detections, and emerging areas of the platform.

• Drive AI into the development loop. Use coding agents and LLM tools as a core part

  of how you design, prototype, build, debug, review, and document. Write strong prompts,

  evaluate outputs critically, and turn AI-generated work into production-quality code and

  logic.

• Move fast, with judgment. Make tradeoffs explicit, ship iteratively, and learn from real

  customer signals.

• Collaborate closely with product, research, and engineering peers: clear written specs,

  sharp communication, clean handoffs, customer-facing rationale.

Requirements

• 5+ years as a software engineer. You design systems, write production code, reason

  about reliability and edge cases, and own delivery end-to-end.

• Strong cybersecurity foundation. You understand threats, controls, identity, cloud risk,

  and why a “finding” is or isn’t worth a customer’s attention. This is what makes your

  feature decisions land.

• Hands-on experience developing with AI / AI-driven development. This is a MUST.

  You have meaningfully shipped work where coding agents, LLM tools, or in-IDE AI

  assistants were a core part of how you built it. You can speak in detail about what

  worked, what didn’t, and how you got real leverage out of these tools.

• Experience with at least one major cloud platform (AWS preferred; Azure or GCP also

  valid).

• Comfortable operating at high pace: small batches, fast iteration, willingness to cut

  scope to ship, calm under pressure.

• Strong communication: you can explain engineering and security tradeoffs to both

  technical and non-technical stakeholders.

Nice to Have

• Experience building CSPM/CNAPP products, cloud security detection/analytics

  pipelines, or other top-tier security products.

• Experience building or fine-tuning AI-powered developer workflows: custom agents,

  pipelines, evals, internal AI tooling, prompt frameworks.

• Familiarity with cloud telemetry/log sources and correlating security signals across

  configuration, identity, and activity.

• Infrastructure-as-Code (e.g., Terraform) and cloud-native development experience.

• Prior security research background: vulnerability research, threat research, or detection

  engineering.

🚀 We're Hiring: Computational Software Engineer

We're building an AI-native platform that redefines how homes are designed and built — from concept to construction. Not layering AI onto existing workflows — rebuilding the system from first principles using generative models, agentic orchestration, and computational geometry.

What you'll work on: 

→ Build the computational core of an AI design and construction platform 

→ Develop systems that transform architectural designs into buildable, fabrication-ready structures — structural assemblies, construction details, engineering outputs 

→ Design AI agents that reason through design requirements, engineering constraints, code compliance, and optimization decisions 

→ Collaborate with architecture, engineering, product, and software teams 

→ Help define the long-term technical architecture of a platform that automates significant portions of the design and construction process

You're the right fit if you have: 

✅ Strong software engineering background — complex systems, algorithms, production software 

✅ Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field 

✅ Strong Python experience 

✅ Deep understanding of software architecture, data structures, algorithms, and system design 

✅ Experience with AI systems, LLMs, agentic workflows, AI orchestration frameworks, or ML applications 

✅ Ability to solve hard problems from first principles with a high degree of ownership 

✅ Appreciation for clean, maintainable, and efficient code

Bonus points if you have: 

⭐ Experience with structural engineering, CAD, BIM, computational design, or construction technology

If you're excited about AI, automation, and first-principles engineering — we'd love to talk.

About the Company

We are a specialized consulting company focused on Statistics, Data Science, and AI. We work across multiple industries, including the public sector, insurance, and other data-intensive domains.

For this role, we are specifically looking for a Senior Software Engineer to join projects in the public sector. These projects involve building technically advanced solutions that also create a meaningful positive impact on society.

We are looking for experienced engineers who enjoy solving complex problems and want to build systems that make a real difference.

Role Overview

As a Senior Software Engineer, you will take end-to-end ownership of software systems — from architecture and technical decision-making through prototyping, development, deployment, operations, and continuous improvement.

You will build intelligent, scalable systems that are designed not only to work, but to perform reliably in real-world environments.

What You'll Be Doing

Design and implement system architecture together with the engineering team.

Rapidly build and validate prototypes.

Develop scalable and production-grade backend software.

Design and maintain data models.

Ensure reliable deployments and stable system operations.

Establish and maintain security best practices.

Make pragmatic technical decisions, including build-vs-buy evaluations.

Define and uphold engineering quality standards across the team.

Contribute to the long-term technical direction and evolution of systems.

Requirements

Several years of experience building and operating web and backend systems, ideally from initial concept through production and scaling.

Strong experience with Python, SQL, and Java.

Strong understanding of software architecture and system design.

Ability to evaluate technical trade-offs and make sound engineering decisions.

Experience with infrastructure and deployment practices, including CI/CD, cloud platforms, containers, and Infrastructure as Code.

Solid understanding of application and platform security principles.

Ability to work independently and take ownership of deliverables.

Strong communication and collaboration skills.

Frontend experience is a plus but not required.

Candidate Requirements

• Ukrainian native speaker
• English proficiency: В2 or higher

We’re looking for an experienced Linux engineer whose primary responsibility will be integrating various SDR (Software Defined Radio) devices into our software platform. This is a role for those who love working at the hardware-software boundary, understand how data travels from physical ports to high-level applications, and can make that path as fast and reliable as possible.

What you’ll do:

• Integrate different SDR models into a unified Linux-based ecosystem
• Work with vendor SDKs and develop high-performance userspace applications
• Optimize high-throughput data processing in real-time
• Write clean, stable, and performant code in C++ or Python

• Debug inter-process communication, manage buffering and latency

   

Requirements:

• 5+ years of professional Linux systems experience
• Linux Power User: comfortable in terminal, understands kernel-space vs user-space, knows systemd and driver configuration
• Hardware Interface Expert: hands-on experience with USB 2.0/3.0, Ethernet, or other high-throughput interfaces
• Data Stream Architect: understands IPC principles, ring buffers, memory overflow prevention, and latency minimization for raw data transmission
• C++ Developer: writes reliable code that doesn’t crash on the first unexpected packet from hardware

• English: B2 or higher

   

Nice to have:

• SDR experience: familiar with RTL-SDR, HackRF, USRP, or has GNU Radio experience
• Experience with ROS/ROS2 (node development, topics/services)
• Understanding of data transmission protocols and digital signal processing (DSP)

• Hobbies related to electronics, radio communication, or robotics

   

We offer:

• Meaningful, high-impact work in Ukraine’s air defense domain
• Deep-tech engineering challenges where rigor and performance matter
• High ownership and autonomy from day one
• Work format: Kyiv office with occasional remote days
• Senior engineering team with direct communication and minimal bureaucracy
• Full-time position with standard hours; occasional off-hours for testing/updates

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Junior / Middle Software Engineer to strengthen our product software team.

This is a hands-on role on onboard navigation product software: you support and extend the system, build and improve tooling, and help keep releases reliable through simulation, replay, and hardware-in-the-loop validation.

The role suits someone who likes understanding how complex software behaves end to end, writes clear code and tests, and wants to work on real UAV systems with experienced engineers.

Responsibilities

System development

• Implement and maintain parts of the onboard product software and supporting services
• Develop internal tools, automation, and utilities used across development and release workflows
• Integrate new features into the production codebase with stable behavior, logging, and configuration

Product software support & verification

• Support, test, and debug components of the onboard navigation product software
• Verify algorithm and integration changes before release: unit tests, simulation scenarios, replay workflows, and hardware-in-the-loop checks
• Investigate failures from CI, field logs, and developer reports; reproduce issues and help resolving them
• Extend test coverage and internal utilities where routine checks can be automated

Engineering quality & delivery

• Improve and maintain CI/CD for the product codebase (builds, Docker images, automated test pipelines, release checks)
• Optimize hot paths and tooling where profiling shows clear wins
• Follow team code standards, participate in code review, and help keep the codebase maintainable

Simulation & replay tooling

• Run and maintain simulation and replay-based validation (software-in-the-loop, logged flight replay, autopilot estimator replay)
• Help expand test scenarios and regression checks as the product and integration surface grow
• Work with flight and navigation teams to turn real incidents into repeatable test cases
   

Required skills & experience

• 1+ years of professional software development experience, or strong equivalent from internships, pet projects, or open source with evidence of shipped work
• Solid Python: reading & extending existing codebases, writing tests, debugging
• Experience with multi-threading, multi-processing, or async applications
• Comfort with Linux as a daily development environment
• Experience with Git and collaborative workflows
• Basic understanding of automated testing (pytest or similar) and why regressions matter in production systems
• Ability to read logs, configs, and stack traces and communicate findings clearly to the team
• Docker for local and CI environments
• GitHub Actions or similar CI/CD
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication

Nice to have

• YAML-driven configuration (e.g. Hydra-style setups)
• MAVLink, drone autopilots, or robotics middleware
• Simulation experience (SITL, game-engine or physics simulators, recorded-data replay)
• HDF5 or other structured telemetry / time-series data
• C++ or willingness to work alongside C++ components when replay or autopilot tooling requires it
• Interest in embedded or resource-constrained targets

What we offer

• Team eager to share the knowledge we have and help you become proficient across a wide range of areas;
• Courses and investment in your professional growth;
• Work on game-changing products which have real impact on the world;
• Team which share common values and meanings, help and support each other;
• Possibility to create, test and improve real autonomous aircrafts;
• Official employment, booking, 24 days of vacation;
• There is some food in office, water, beer, cigarettes;
• You will definitely not be the same as before!

About Altum

Altum Software is a technology company building AI-powered infrastructure for sales and business automation. We design and develop internal systems that replace manual workflows with autonomous AI agents — from lead qualification pipelines to customer communication layers.

We're a small, senior team that moves fast and builds things that actually work in production. No corporate overhead, no pointless meetings — just interesting problems and real ownership over what you ship.
 

The Role

We're looking for a Software Engineer to join the team building our AI automation infrastructure. You'll work on systems that operate at scale — managing concurrent sessions, orchestrating background jobs, integrating LLMs into real-world workflows, and making sure everything stays stable when it matters.

This is a hands-on engineering role with real architectural responsibility. You'll work directly with the founding team and have full visibility into product decisions.
 

What You'll Be Working On

• Building AI SDR systems — autonomous agents that manage communication pipelines, qualify leads, and move them through the funnel without manual intervention
• Developing browser automation layers that interact with web platforms on behalf of AI agents — handling sessions, actions, and anti-detection logic at scale
• Integrating LLMs (Claude API) for real-time message classification, context-aware response generation, and conversation management across hundreds of active threads simultaneously
• Building the job orchestration layer — queues, background workers, concurrency handling — that keeps everything running reliably at scale
• Connecting the system with external tools: CRM, calendar booking, messaging platforms, alert systems
• Designing internal AI agents that handle repetitive customer-facing workflows autonomously, escalating to humans only when needed

Requirements

• 2+ years of commercial experience in backend or fullstack development
• Strong understanding of system design — queues, background jobs, concurrency, failure handling
• Experience working with relational databases (PostgreSQL or similar)
• Comfortable integrating third-party APIs and navigating unfamiliar documentation quickly
• Systematic thinker — you see how components compose into a reliable whole
• Genuine curiosity about AI tooling — you follow what's happening in the space and like to experiment

Nice to Have

• Experience with Playwright, Puppeteer, or any browser automation framework
• Familiarity with anti-detect browsers or browser fingerprinting concepts
• Prior experience working with LLM APIs (Claude, OpenAI, or similar)
• Understanding of bot detection mechanisms and mitigation strategies
• Experience with Redis / BullMQ or similar job queue systems

What We're Really Looking For

Technical skill matters, but it's not the whole picture. We're looking for someone who picks things up fast, takes ownership without being asked, and genuinely enjoys working at the intersection of AI and automation. You don't need to have done exactly this before — but you should be the kind of engineer who looks at a complex system and wants to understand how it works end to end.

If you've never built browser automation before but the problem space excites you — reach out anyway.

Webxloo, LLC is an international software development company that was founded in 2005 in Tampa, Florida USA. With employees globally with the common goal: “Building Your Online Universe”..

We are looking for a talented professional to develop the AI-powered humanoid Kinetic robotics system customized for automotive retail and wholesale services with real-world operational use cases. 

This role is fundamental in connecting our proprietary management software running on large language model (LLM) agents to physical kinetics robotic appliances through robotics middleware ROS1/ROS2, real-spaceal simulation environments, embedded control systems, and real humanoid platforms.

The ideal candidate will have strong hands-on robotics engineering experience involving autonomous robot behavior, robotic navigation, manipulation systems, and sim-to-real deployment workflows for humanoid robots operating in dynamic real-world environments. Experience working with Unitree humanoid robots, Unitree G1/G2/H2, Figure 02/03, NEO 1X and Agibot Yuanzheng A2 platforms, will be given higher consideration.
 

Tech Stack:

Python, ROS, ROS 1, ROS 2, OpenClaw / ROSClaw, Isaac Sim, NVIDIA Omniverse, MuJoCo, Gazebo, LLM APIs (Claude / OpenAI), Unitree SDK2, DDS (CycloneDDS), NVIDIA Jetson, STM32, Linux (Ubuntu), Git, MATLAB, CAD tools
 

Responsibilities:

• Building workflow and processes in simulation application with multi-level testing 
• Integrate an existing LLM agent with ROS2-based robotic systems and middleware architectures
• Design and implement tool-calling interfaces that translate AI outputs into physical robot actions and autonomous robotic behaviors
• Build, configure, and maintain robotics simulation environments (Isaac Sim / MuJoCo / Gazebo / NVIDIA Omniverse) with emphasis on real-space simulation accuracy and sim-to-real deployment readiness
• Develop and test humanoid robot behaviors in simulation, including navigation, object manipulation, environmental interaction, and household or real-world task automation workflows
• Work with Unitree humanoid robotics platforms, including Unitree G1/G2/H2, Figure 02/03, NEO 1X and Agibot Yuanzheng A2 robots, for integration, behavior testing, motion control, and real-world deployment validation
• Debug, iterate, and improve robot control logic, autonomy systems, perception pipelines, and middleware communication architectures
• Support sim-to-real transfer, including calibration, hardware validation, locomotion tuning, and performance optimization on physical humanoid robots
• Collaborate closely with hardware, embedded systems, AI, and robotics engineering teams to ensure seamless system integration between simulation and real-world robotic environments
• Assist in robotic navigation, localization, motion planning, and manipulation system development for autonomous task execution
• Collaborate on low-level hardware interaction and onboard compute integration using platforms such as NVIDIA Jetson and STM32-based systems
• Contribute to robotics software architecture decisions for scalable AI-driven humanoid robotics deployment
• Support robotics prototyping, kinematic analysis, motion system validation, and system testing workflows using MATLAB and CAD-based development processes
• Assist in sensor integration, actuator control, robotic perception systems, and robotics communication layers across ROS / ROS 1 / ROS 2 ecosystems
• Participate in real-world robotic deployment testing involving autonomous learning workflows and physical environment interaction
   

Required Skills & Qualifications:

• Strong several years experience with ROS2 (topics, services, actions, TF2) and familiarity with broader ROS / ROS 1 robotics ecosystems
• Proficiency in Python (async programming, APIs, system integration)
• Hands-on experience integrating AI/LLM systems with real-world robotic or automation applications
• Strong experience with robotics simulation tools such as Isaac Sim, MuJoCo, Gazebo, or NVIDIA Omniverse
• Real-space simulation experience involving autonomous robotic systems and sim-to-real validation workflows
• Understanding of robot kinematics, locomotion systems, motion planning, robotic navigation, localization, manipulation systems, and sensor feedback loops
• Experience developing or deploying autonomous robotic behaviors in real-world environments
• Experience working with Linux (Ubuntu) environments
• Strong debugging, robotics middleware, and distributed system integration skills
• Familiarity with onboard robotic compute platforms such as NVIDIA Jetson
• Exposure to embedded systems, microcontroller integration, or hardware communication protocols
• Good English communication skills (minimum B1/B2 level)
   

Preferred / Advantageous Experience:

• Experience working with Unitree robotics platforms and Unitree SDKs
• Hands-on experience with Unitree G1, G2, and H2 humanoid robots
• Experience developing humanoid robot behaviors involving locomotion, navigation, manipulation, or autonomous task execution
• Familiarity with OpenClaw or similar robotic manipulation frameworks
• Prior sim-to-real transfer experience in robotics projects
• Knowledge of reinforcement learning (RL) in robotic control systems and autonomous learning workflows
• Experience with household robotics, service robotics, or real-world robotic task automation systems
• Experience with AR/VR systems, haptics integration, or immersive robotics simulation workflows
• Exposure to humanoid robotics, dexterous manipulation systems, or embodied AI platforms
• Experience with embedded systems development using STM32 or related microcontroller platforms
• Familiarity with VHDL or low-level hardware interfacing for robotics and control systems
• Experience using MATLAB for robotics modeling, simulation, or algorithm development
• Familiarity with CAD tools and robotics prototyping workflows
• Experience deploying robotics or AI workloads on NVIDIA-based edge computing platforms
• Experience working in fast-paced startup or R&D environments
   

What we offer:

• A role within a company with a strong track record of innovation and success
• Diverse AI and automation projects that offer broad learning opportunities
• Room for career growth, skill expansion, and leadership development
• A collaborative international environment with a focus on cutting-edge robotics, AI, simulation, autonomous systems, and humanoid robotics technologies
• Opportunity to work on next-generation humanoid robotics systems integrating AI agents, robotics middleware, real-space simulation environments, autonomous learning systems, and real-world robotic deployment
• Direct exposure to advanced humanoid robotics platforms including Unitree robotic systems and real-world autonomous robotics applications
   

Job requirements: High-speed Internet (100 / 100 Mbps upload and download speeds), noise-cancelling headset (headphones with microphone), and a high-quality video conferencing camera to participate with clients and company management.
 

Higher consideration would be granted to individuals that have completed AI certification, particularly those highly experienced in Claude OPUS 4.7+ and its related tools and ecosystem!

Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools 

У виробничу компанію машинобудівного профілю, шукаємо Automation & Robotics Engineer  по напрямку автоматизації

Основними завданнями будуть:  

• Програмування промислових роботів
• Розробка логіки роботи обладнання (PLC)
• Інтеграція датчиків, приводів, пневматики
• Налаштування HMI (операторських панелей)
• Запуск автоматизованих станцій на виробництві
• Налаштування та оптимізація циклів роботи обладнання
• Оптимізація часу виробничих циклів

Потрібні навички для цієї посади:

• Досвід роботи від 2 років у сфері автоматизації / embedded / industrial automation
• Обов’язковий досвід роботи на виробництві
• Практичний досвід роботи з мікроконтролерами:
  • розуміння принципів роботи
  • програмування
  • прошивка та тестування
• Досвід роботи з PLC, HMI та промисловим обладнанням
• Розуміння технологій виробництва
• Високий рівень самостійності (позиція без навчання)

Буде перевагою

• Досвід у машинобудуванні або електротехніці
• Робота з великими виробничими підприємствами
• Досвід запуску автоматизованих ліній або станцій

Ми пропонуємо:

• офіційне працевлаштування
• бронювання
• оплачувана відпустка 24 календарних днів, оплата лікарняних
• конкурентна і стабільна оплата праці
• сучасна і потужна інструментальна база виробництва
• матеріальна підтримка релокейту співробітників

Про проєкт: Ми — R&D команда, що створює інноваційні рішення у сфері автономних систем та робототехніки. Наш поточний продукт — це розробка інтелектуального обчислювального модуля (Edge Computing), здатного в реальному часі аналізувати дані з мультисенсорної системи (камери, радари, тепловізори) та здійснювати автоматичний супровід динамічних об'єктів на екстремально високих швидкостях.

Система працює в умовах жорстких вимог до швидкодії (мінімальна затримка між отриманням кадру та видачею керуючої команди) та базується на апаратних рішеннях NVIDIA.

Зараз ми розширюємо Core Software Team і шукаємо інженера, який відповідатиме за створення надійної програмної архітектури нашого модуля та об'єднання даних з різних сенсорів.

Ваші ключові завдання:

• Розробка та підтримка загальної програмної архітектури пристрою на базі фреймворку ROS2.
• Створення та оптимізація ROS2-вузлів (nodes) для ефективної взаємодії між модулями комп'ютерного зору (YOLO), радарами та системою прийняття рішень.
• Реалізація алгоритмів Sensor Fusion (об'єднання та синхронізація даних з оптичних камер та радарів).
• Налаштування QoS (Quality of Service) у ROS2 для забезпечення безперебійної передачі даних із мінімальною затримкою.
• Взаємодія з модулями навігації та передача команд на польотний контролер (через протоколи на кшталт MAVLink).

Наші очікування (Компетенції):

• Комерційний досвід роботи (Middle/Senior) у сфері робототехніки або розробки вбудованого ПЗ.
• Відмінне володіння C++ (сучасні стандарти) та Python.
• Глибокі практичні знання ROS2 (архітектура, топіки, сервіси, оптимізація затримок).
• Розуміння принципів Sensor Fusion (наприклад, фільтри Калмана) та досвід синхронізації даних з різних датчиків.
• Розуміння принципів багатопотоковості та роботи з обмеженими обчислювальними ресурсами.

• Буде значним плюсом: досвід роботи з NVIDIA Jetson, протоколом MAVLink або симуляторами (Gazebo, NVIDIA Isaac Sim).

   

Що ми пропонуємо:

• Офіційне співробітництво та можливість бронювання від мобілізації для ключових спеціалістів команди.
• Робота з передовим R&D обладнанням (сучасні Dev Kits NVIDIA Jetson, камери з глобальним затвором, міліметрові радари тощо).
• Складні, нестандартні інженерні виклики (DeepTech R&D), де ваші рішення безпосередньо впливають на архітектуру фінального продукту.
• Відсутність мікроменеджменту, гнучкість у прийнятті рішень та робота пліч-о-пліч з фаундерами.

Our client is looking for people who thrive in a fast-paced, solutions-oriented, and creative environment.

The Software Support Engineer is a focal point within the client's software and hardware organization for customer support activities. Specifically, in this role, the individual(s) will provide remote and field support to our customers and operations teams for the installation and configuration of the system supporting robotic hardware. The Software Support Engineer will work proactively and in response to ad-hoc support calls to ensure the software and hardware system is running properly in the production warehouse automation environments of our customers.

Job Description

Required:

• 1+ years of IT infrastructure production support experience
• Linux, Windows exposure
• Understanding the mechanical system of the robots
• Intermediate spoken English level

Desired:

• RabbitMQ or Kubernetes/Ansible experience
• SQL/SQL Server

Job Responsibilities

• Provide escalation support for short-term problem resolution activities
• Perform validation activities for support tools
• Ownership and resolving situations of the stuck bots, handling cases via validation; bots' cameras issues
• Ownership for new SW versions remote deployment to the production bots
• Creating documentation of system-level functionality from a support perspective.
• Work under pressure in restoring high-priority systems to operations
• Flexible work hours. Weekends shifts.

Must-Have Skills

• Go / Rust / TypeScript (20%) — core stack; strong proficiency in at least one, ideally two
• Multithreaded & concurrent programming (18%) — critical requirement; proven experience with real parallel systems
• Performance profiling & optimization (15%) — CPU/memory management under real production load on dedicated hardware
• Docker & containerization (13%) — deploying and managing containerized workloads
• Edge computing / embedded systems (13%) — experience building for resource-constrained environments
• Networking & distributed systems (12%) — solid fundamentals; building reliable comms between edge and cloud
• Real-time systems (9%) — low-latency design and delivery

Nice-to-Have Skills

• Video streaming / pipeline development
• Storage systems & data management at the edge
• Cloud services integration (AWS S3, GCP, MQTT, Kafka)
• AI/ML model deployment on edge devices
• Security concepts (encryption, secure communication, zero trust)

Responsibilities

• Contribute to the core edge platform running across diverse hardware in a hybrid edge-cloud architecture
• Develop and integrate video management capabilities: streaming, recording, real-time AI processing
• Design and optimize for low-latency, high-performance workloads at the edge
• Build secure, efficient communication pipelines between edge devices and cloud systems
• Work with AI/ML engineers to deploy and optimize on-device models
• Own performance under load — profile CPU/memory, identify bottlenecks, fix them
• Participate in code reviews, debugging, and performance tuning across the stack