GlobalLogic

Our client is an innovative U.S.-based manufacturer of medical devices and software applications. Their mission is to improve lives through advanced medical technology and intelligent software solutions.

As part of this project, you’ll have the opportunity to participate in the full development life cycle of cutting-edge medical software designed to process data from medical devices, identify health trends, and track daily activities - empowering individuals to take control of their well-being.

Must have:

• 3+ years of experience hiring, leading, and coaching high-performing software development teams.
• Proven success in developing and delivering large-scale cloud-based software solutions, encompassing frontend and backend development, infrastructure, automation, and testing.
• Strong expertise in automated unit, functional, and stress test design.
• Hands-on experience with CI/CD pipelines and modern software delivery practices.
• Excellent analytical, problem-solving, and troubleshooting skills.
• Experience working in an Agile environment and with the Scrum framework.
• Solid understanding of business contexts and product drivers.
• Strong interpersonal and communication skills, with the ability to collaborate effectively across global teams, stakeholders, and customers.
• Strong facilitation and organizational abilities.
• Experience managing priorities and tasks across multiple distributed teams.
• Ability to work effectively with people from diverse cultures and professional backgrounds.
• A relevant combination of education and experience may be considered.
  
  Responsibilities:
• Lead and mentor a team of software engineers to deliver best-in-class software solutions.
• Foster a culture of innovation, quality, and collaboration within an agile development environment.
• Provide coaching, feedback, and career development support to team members.
• Develop and execute a leadership and succession plan by hiring, training, and mentoring top talent.
• Monitor team progress, identify challenges, and assist with issue resolution.
• Ensure all development activities comply with quality, regulatory, and business standards.
• Oversee the software development process — including task assignments, timeline management, and contribution to release planning.

Be part of a pioneering initiative to build the next generation of closed-loop, causal knowledge-generating reinforcement learning systems - driven by proprietary and patented algorithmic methods.

Our advanced causal inference and reinforcement learning algorithms are already transforming operations within a Fortune 500 company, powering applications that span e-commerce content generation and targeting, as well as large-scale factory optimization and control.

In this project, you’ll help push the boundaries of adaptive learning and real-time decision-making, creating a modular, reusable codebase designed for flexible deployment across diverse, high-impact domains.

A key part of this work involves developing synthetic data generation frameworks to rigorously test and refine algorithms—ensuring they perform with the robustness and intelligence expected in real-world environments.

Requirements:

• 7+ years of experience in designing and implementing statistical computing and reinforcement learning algorithms for real-world systems.
• Expertise in reinforcement learning (RL), including multi-armed bandits, contextual bandits.
• Strong background in statistical computing, including experimental design, fractional factorial and response surface methodology, and multi-objective optimization.
• Proficiency in programming languages for machine learning and statistical computing, particularly Python.
• Experience in synthetic data generation, including stochastic process simulations.
• Excellent problem-solving, communication, and collaboration skills, with the ability to work in a fast-paced research and development environment.
• Bachelor’s, Master’s or Ph.D. in Statistics, Applied Mathematics, Machine Learning, or a related field.

Preferred:

• Background in experimental design for real-time decision-making.
• Familiarity and experience with bandit-based and reinforcement learning techniques such as Thompson Sampling, LinUCB, and Monitored UCB for dynamic decision-making.

Job responsibilities:

• Collaborate with other scientists to ideate and implement proprietary reinforcement learning models for causal model-based control and adaptive optimization.
• Develop and optimize statistical models for causal inference and real-time decision- making in dynamic environments.
• Create synthetic data generation systems that accurately simulate real-world problem spaces for training and testing.
• Develop multi-objective optimization algorithms to balance competing trade-offs in various applications.
• Enhance adaptive learning approaches that enable the system to self-tune and self-correct based on environmental feedback.
• Validate and refine learning algorithms using synthetic and real-world datasets.

Job Description

Must have requirements:

• Overall 5+ years of commercial experience;
• Overall 3 + years of Kernel and Linux development experience;
• Experience with Linux System development (C/linker gcc/clang);
• Experience with Linux Kernel drivers (in tree/out of tree) development;
• Understanding of Linux internals knowledge (device drivers, interrupt handling, synchronization, memory management, processes, etc.);
• Experience with Kernel space and user space debugging;
• Git (github/gerrit) or any large source code management experience;
• Experience with build systems (make/Cmake/Yocto/OpenEmbedded technology);

Nice to have:

• Linux optimization techniques;
• Expirience with Kernel versions 4x-6x;
• Experience with python/bash/perl/lua;
• Contribution to various open-source projects will be a plus;

Job Responsibilities

• Develop Linux system-level patches for customer's internal distro based on OpenEmbedded/Yocto;
• Support and migration of an internal Linux distro to new versions of OpenEmbedded;
• Develop and maintain system software (libraries);
• Linux kernel versions migration;
• Develop and maintain build systems;
• Analyze product failures, fixing bugs and identify potential solutions;
• Software components integration (drivers, system libraries, applications);
• Customer-specific features development and upstreaming;
• Close interaction with opensource community;
• Collaborate with the other departments for requirements capture and clarification;
• Analyze system/subsystem performance and suggest optimization;

Department/Project Description

The American multinational technology company that designs, manufactures, and sells networking equipment. It's the worldwide leader in IT that helps companies seize the opportunities of tomorrow by proving that amazing things can happen when you connect the previously unconnected.

As part of our team, you'll be involved in various Linux kernel and userspace development, migration to new Linux kernels and OpenEmbedded versions, new features development, upstreaming features and patches to the community, and customer internal team support. Our team works closely with the community, and everyone contributes there.

Skill Category

Linux Kernel

Keyskills - Must Have

• C-Linux
• Linux
• C
• Linux Kernel
• Kernel development

Keyskills - Nice to Have

• Yocto
• Python
• Bash
• Perl
• Clang

We are looking for experienced and visionary Senior Data Scientist to join our client’s advanced research and development team. Our customer is a global leader in industry, worker safety, and consumer goods. Headquartered in Maplewood, Minnesota, the company produces over 60,000 innovative products, spanning adhesives, abrasives, laminates, personal protective equipment, window films, paint protection film, electrical and electronic components, car-care products, electronic circuits, and optical films.

In this role, you will lead the design, development, and deployment of cutting-edge machine learning models and statistical algorithms to solve some of the company’s most complex business challenges. You will apply your deep expertise in statistical computing, natural language processing, and reinforcement learning to create real-world systems that deliver measurable value.

As a senior team member, you will also shape technical strategy, mentor colleagues, and foster a culture of rigorous experimentation and data-driven excellence, ensuring that innovation translates into tangible impact across the organization. 

Requirements:

• A Master’s or PhD in Statistics, Applied Mathematics, Machine Learning, Computer Science, or a related quantitative field.
• 5+ years of hands-on experience designing and implementing statistical computing, NLP, and/or reinforcement learning algorithms for real-world systems.
• Strong theoretical and practical background in statistical computing, including experimental design, fractional factorial and response surface methodology, and multi-objective optimization.
• Expert-level proficiency in Python and its core data science libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
• Proven experience in synthetic data generation, including stochastic process simulations.
• Excellent problem-solving abilities with a creative and analytical mindset.
• Strong communication and collaboration skills, with a proven ability to present complex results to diverse audiences and thrive in a fast-paced R&D environment.

Preferred Qualifications & Skills:

• Industry experience in Consumer Packaged Goods (CPG) or a related field.
• Experience contributing to or developing enterprise data stores (e.g., data meshes, lakehouses).
• Knowledge of MLOps, DevOps methodologies, and CI/CD practices for deploying and managing models in production.
• Experience with modern data platforms like Microsoft Fabric for data modeling and integration.
• Experience working with and consuming data from REST APIs.

Job responsibilities:

• Model Development & Implementation: Lead the end-to-end lifecycle of machine learning projects, from problem formulation and data exploration to designing, building, and deploying advanced statistical, NLP, and/or reinforcement learning models in production environments.
• Advanced Statistical Analysis: Apply a strong background in statistical computing to design and execute complex experiments (including A/B testing, fractional factorial design, and response surface methodology) to optimize systems and products.
• Algorithm & Solution Design: Architect and implement novel algorithms for multi-objective optimization and synthetic data generation, including stochastic process simulations, to solve unique business challenges.
• Technical Leadership & Mentorship: Provide technical guidance and mentorship to junior and mid-level data scientists, fostering their growth through code reviews, knowledge sharing, and collaborative problem-solving.
• Cross-Functional Collaboration: Work closely with product managers, engineers, and business stakeholders to identify opportunities, define project requirements, and translate complex scientific concepts into actionable business insights.
• Research & Innovation: Stay at the forefront of the machine learning and data science fields, continuously researching new techniques and technologies to drive innovation and maintain our competitive edge.

We are looking for a talented and driven Data Engineer to join our customer’s team. It’s a global leader in industry, worker safety, and consumer goods. Headquartered in Maplewood, Minnesota, this multinational powerhouse produces over 60,000 innovative products, ranging from adhesives, abrasives, and laminates to personal protective equipment, window films, car-care products, and cutting-edge electronic and optical materials.

In this role, you will play a key part in building and maintaining robust data pipelines, transforming raw information into valuable insights that power analytics and business intelligence across the organization. This is your chance to work on impactful projects, sharpen your technical skills, and contribute to a company that’s shaping the future of industry and innovation.

If you are passionate about data, love solving complex problems, and want to be part of a team where your work truly makes a difference, this is the opportunity for you!

Requirements

• 3+ years of professional experience in data engineering or a related role.
• Solid proficiency with Python for data processing and automation, with at least 2-3 years of hands-on experience.
• Strong SQL skills for querying and manipulating complex datasets.
• Experience with cloud data services, preferably Azure (Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage).
• Hands-on experience with big data processing frameworks like Spark (PySpark) and platforms such as Databricks.
• Good understanding of data warehousing concepts, ETL processes, and data integration techniques.
• Experience in applying data quality assessment and improvement techniques.
• Experience working with various data formats, including structured, semi-structured, and unstructured data (e.g., CSV, JSON, Parquet).
• Familiarity with Agile and Scrum methodologies and project management tools (e.g., Azure DevOps, Jira).
• Good communication skills and the ability to work effectively as part of a team.

Preferred Qualifications & Skills

• Knowledge of DevOps methodologies and CI/CD practices for data pipelines.
• Familiarity with modern data platforms like Microsoft Fabric for data modeling and integration.
• Experience with consuming data from REST APIs.
• Experience with database design concepts and performance tuning.
• Knowledge of dimensional data modeling concepts (Star Schema, Snowflake Schema).
• Awareness of modern data architecture concepts such as Data Mesh.
• Experience in supporting production data pipelines.

Job responsibilities

• Develop & Maintain Data Pipelines: Develop, test, and maintain robust and efficient data pipelines using Python, SQL, and Spark on the Azure cloud platform.
• Implement Data Solutions: Implement and support end-to-end data solutions, from data ingestion and processing to storage in our data lake (Azure Data Lake Storage, Delta Lake) and data warehouse.
• Utilize Cloud Data Services: Work with Azure services like Azure Data Factory, Databricks, and Azure SQL Database to build and manage data workflows.
• Ensure Data Quality: Implement data quality checks, including data profiling, cleansing, and validation routines, to help ensure the accuracy and reliability of our data.
• Performance Tuning: Assist in monitoring and optimizing data pipelines for performance and scalability under the guidance of senior engineers.
• Code Reviews & Best Practices: Actively participate in code reviews and adhere to team best practices in data engineering and coding standards.
• Stakeholder Collaboration: Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and assist in delivering effective solutions.
• Troubleshooting: Provide support for production data pipelines by investigating and resolving data-related issues.

Our client is a Fortune 500 company and one of the largest global manufacturing organizations operating in the fields of industrial systems, worker safety, healthcare, and consumer goods. The company is dedicated to creating technology and products that advance every business, improve every home, and enhance every life.

The product we are building supports automotive repair centers in various areas, including inventory tracking, collision estimation, invoicing, and analytics. Within the project, the team focuses on new functionality analysis and development, as well as maintenance and enhancement of existing web applications.

Job Responsibilities

• Implement Data Warehouses using data models and building data pipelines in Azure Fabric
• Conduct research and make recommendations on database products, services, protocols, and standards to support procurement and development efforts
• Install and configure database components, ensuring access, consistency, and integrity
• Monitor, optimize, and allocate physical data storage for all database systems
• Perform scaling and performance optimization

Job Requirements

• 3+ years of experience as a Data Engineer
• Knowledge and experience with Python, SQL, Azure Synapse, Azure OneLake, Data Factory, and Spark jobs
• Experience in building Data Warehouses
• Awareness of data processing flowcharting, relational and dimensional data modeling, as well as translating logical models into physical models
• Hands-on experience with Azure and good knowledge of its sub-components and services is a plus
• Understanding of database structures, theories, principles, and practices
• Technical experience in configuring and supporting database systems
• Hands-on experience in database tuning and troubleshooting (indexing, statistics, and query optimization)
• Experience with Agile projects
• Good understanding of the Software Development Lifecycle
• Excellent communication and collaboration skills
• Upper-Intermediate English or higher

Description

Inviting Senior Software Engineer to join a growing account in the medical devices industry domain. Our client is the global leader company of healthcare solutions, which contributes to human welfare by application of biomedical engineering in the research, design, manufacture, and sale of instruments or appliances that alleviate pain, restore health, and extend life for people around the world.

Requirements

• 4+ years in embedded/backend/performance engineering (Python and/or C++) with production services
• 1+ year hands-on with GPU-accelerated AI/ML inference (Triton/TensorRT/CUDA) in production
• Proven experience working with Unity
• Proven delivery of Triton-based microservices behind REST/gRPC
• Practical experience integrating/porting AI pipeline & workload 
• Strong system design skills (throughput/latency/SLA) and high code quality (tests, reviews, docs).
• Proven experience working in an embedded development environment (JetPack, Linux, ARM, CUDA)
• Proven experience working with Docker

Job responsibilities

• Design, build, and operate AI-powered microservices for product features
• Optimize AI models inference
• Package & deploy Docker image for embedded platform via Triton
• Instrument – metrics/logs/traces
• Collaborate with other teams on priorities, model choices, and integration paths; ship incrementally.
• Document designs, benchmarks

Tools

• NVIDIA – JetPack, Triton, CUDA
• AI – Python, C++, FastAPI, AsyncIO, PyTorch/ONNX
• Platform – Unity, Docker, Linux

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Description

Inviting Test Automation Engineer to join a growing account in the medical devices industry domain. Our client is the global leader company of healthcare solutions, which contributes to human welfare by application of biomedical engineering in the research, design, manufacture, and sale of instruments or appliances that alleviate pain, restore health and extend life for people around the world.

Our team is focusing on:

• automated testing of software for a medical device – continuous glucose monitor subsystem based on Bluetooth Low Energy;
• manual testing of desktop applications

Requirements

Must have:

• At least 3 years of experience in software testing
• Experience in Test Design implementation
• At least 1 year of automated testing experience with automation tools/frameworks or equivalent experience in development
• Good knowledge and/or experience in JS (preferably) or Python
• Good understanding of the testing methodology and test automation approaches
• Intermediate/Upper Intermediate written/spoken English

Will be a plus:

• Knowledge BLE communication protocol
• Experience in Embedded Software Testing

Job responsibilities

• Functional testing
• Automated test script development
• Manual test case execution
• Test designs creation
• Issue verification
• Requirements analysis
• Test coverage analysis

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Job Description

- High attention to detail and commitment to annotation accuracy.

- Comfort working with 2D/3D medical imaging data.

- Experience with or willingness to learn tools like 3D Slicer, Amazon SageMaker Ground Truth, CVAT or similar.

- General understanding of Machine Learning & Computer Vision models idea would be a big plus.

- Background in medicine, radiology, biomedical sciences, anatomy, or related healthcare fields is a big plus.

- Basic understanding of QA Process and Methodologies would be a plus;

- Experience working in healthcare AI, research, or imaging is a plus.

- Strong communication skills and at least upper-intermediate English level for effective cooperation with client.

Job Responsibilities

We are looking for a detail-oriented Annotator to prepare the foundational data for our ML models. Your meticulous work will be crucial in ensuring the accuracy and quality of the datasets that will power this transformative change.

Initially, you will focus on preparing data related to our highest-volume staples (one linear and one circular design). Your responsibilities will directly contribute to building a production-ready analytical solution that will revolutionize testing and quality assurance for surgical devices.

Your responsibilities will include

- Prepare datasets for training machine learning models that automatically detect information on medical device images.

- Close work with a client team with planning work load, results demonstration and requirements clarification;

- Analyze defects and problems in current algorithms based on video output;

- Raise a flag when any defect occurs, verify if test sets are have acceptable output;

- Quality Assurance: Follow strict medical annotation protocols provided by supervising doctors.

- Collaboration: Work closely with medical experts, AI engineers, and fellow annotators in a multidisciplinary environment.

Key Contribution: You will be the essential link between raw engineering data and the machine learning models that will automate and accelerate our product validation process.

Department/Project Description

We are launching a critical initiative to integrate advanced Artificial Intelligence (AI) and Machine Learning (ML) into the product development and validation process for high-volume surgical staples.

This project aims to solve current process inefficiencies—specifically, long analysis wait times (up to 4 weeks per test) and high vendor costs—by bringing analytical capabilities in-house and automating the validation of millions of staples annually. This will lead to faster product development and significant cost savings.

We are looking for a Full Stack Engineer with strong TypeScript skills to join our team developing a cloud-based medical imaging platform. The platform focuses on processing and visualizing 3D medical data for surgical planning. The role offers an opportunity to work across the full stack, from interactive web applications to scalable backend services for medical image processing.
Join a dynamic team working on a cutting-edge medical imaging platform that leverages 3D visualization, real-time image processing, and cloud-native technologies. The project spans the entire stack, from web-browser 3D interfaces to backend services handling complex medical data. The team combines expertise in frontend frameworks (Angular, React), backend development (Node.js, Python), medical libraries, and cloud infrastructure to deliver innovative solutions for surgical planning and healthcare professionals.

Job Description:

• Must-Have Skills
  JavaScript / TypeScript: Strong proficiency in modern JS/TS, including ES6+ features and type-safe programming.

• Nice-to-Have Skills

  3D/Graphics: Canvas, Three.js, WebGL for interactive visualizations.

  Frontend Frameworks: React experience, particularly for building interactive applications.

  Cloud / Databases: Firebase and other NoSQL databases on GCP, cloud-native development experience.

  Backend / Data Processing: Python for medical imaging and data processing, Node.js with TypeScript for Firebase Functions

  UI/UX Design: Web interface design skills, including CSS frameworks like Tailwind CSS and Material UI.

  DevOps / Tooling: Docker, Rust/WASM for performance-critical modules, testing frameworks (Jest, Pytest, Playwright).

   

Job Responsibilities:

• Develop responsive web applications for surgeons and medical professionals.
• Build backend services for processing DICOM and other medical imaging data.
• Implement interactive 3D visualization features for surgical planning using Three.js/WebGL.
• Collaborate with UI/UX designers to ensure intuitive and efficient interfaces.
• Contribute to cloud infrastructure, including Google Cloud and Firebase services.
• Write automated tests and participate in CI/CD pipelines to maintain high-quality software.

Description

GL Healthcare Division Program is looking for a DevOps Engineer to join the Reliability Engineering team responsible for the mission-critical medical data processing systems infrastructure development and operation.

We have a trustful relationship with the Client, a multi-national MedTech corporation we have been cooperating with for 20 years.

You will be a part of a Team of experienced DevOps and SysOps engineers working for multiple Client’s Operations projects, who are always ready to consult and help.

Requirements

Must have:

• Good knowledge of AWS Public Cloud
• Good knowledge of the administration of Windows OS
• Good knowledge in automation and configuration management (Terraform, Packer, and similar tools)
• Good knowledge of scripting with PowerShell
• Basic knowledge in networking (TCP/IP, NAT, SSH, Firewall, Switch)
• Upper-Intermediate English

Nice to have:

• Knowledge in the administration of Linux OS
• Knowledge of Docker containerization

Job responsibilities

• Development and support of the server architecture
• 3d tier applications support
• Cloud infrastructure/software monitoring and maintenance
• Change and incident management
• Customer problem management
• Collaborate with R&D teams to ensure a smooth and efficient software development process
• Create and support technical documentation
• Perform a wide variety of technical and administrative duties in overall systems design and delivery

Description

Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

This position collaborates with a geographically diverse team to develop, deliver, and maintain systems for digital subscription and transactional products across the Customer’ SVOD portfolio.
 

Requirements

– 2+ years of python development (middle level, pandas, bulding APIs)

– Beginner to middle SQL
– Experience building ETLs in python
– Experience with data tools (ex.: Airflow, Grafana, Redash, Plotly, AWS Glue, AWS Athena)
– Other AWS experience
– Advanced skills in Excel
– Agile SDLC knowledge
– Detail oriented
– Data-focused
– Strong verbal/written communication, including an ability to effectively communicate with both business and technical teams
– An ability and interest in working in a fast-paced and rapidly changing environment
– Be self-driven and show ability to deliver on ambiguous projects with incomplete or dirty data

Would be a plus:

– Understanding of basic SVOD store purchase workflows

– Background in supporting data scientists in conducting data analysis / modelling to support business decision making

– Expereince with mixpanel, mparticle, youbora and similar systems
 

Job responsibilities

– Building Pyhton APIs as a data instrumentation
– ETL buildouts for data reconciliation
– Creation of automatically-running audit tools
– Interactive log auditing to look for potential data problems
– Help in troubleshooting customer support team cases
– Troubleshooting and analyzing subscriber reporting issues:
      Answer management questions related to subscriber count trends
      App purchase workflow issues
      Audit/reconcile store subscriptions vs userdb

Project Description

The client is a product international company that provides a defense platform that enables development and security teams to protect critical workloads against emerging threats and undiscovered vulnerabilities with a lightweight agent that protects the organization's public, private and hybrid cloud deployments on-premises data centers managed.

Job Description

• Minimum of 3 years of professional experience in MacOS development.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Expert proficiency in C++ 11/14/17.
• In-depth knowledge of MacOS internals, system frameworks, and libraries.
• Proven experience in system-level programming, debugging, and performance tuning.
• Familiarity with Xcode, LLDB, and other MacOS development tools.
• Strong understanding of macOS security mechanisms and best practices.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work effectively in a remote and collaborative environment.

 
Nice to have:

• Experience with Endpoint Security framework and/or Network Extension framework.
• Experience with System Integrity Protection and System Extensions development.
• Experience with Swift, Objective-C and application development for macOS.
• Understanding of networking protocols and system-level APIs.
• Previous experience in leading projects or teams in a remote work environment.
• Experience in Cyber Security domain.
• Familiarity with XPC, gRPC and protobuf.

Job Responsibilities

We are seeking a skilled and motivated Cross-Platform C++ Software Engineer to join our engineering team focused on building high-quality, maintainable, and scalable applications. You will work on a complex software stack targeting macOS platforms, using modern C++ and industry-standard tooling. This role requires a strong understanding of build systems and crash analysis.

• Be part of the design, development, and optimization of MacOS internals and system components.
• Architect solutions for complex system-level challenges, ensuring robustness and scalability.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Mentor junior developers, providing guidance on best practices in system-level programming.
• Conduct code reviews and ensure adherence to industry standards and security protocols.
• Stay current with the latest MacOS developments and contribute to the technical direction of projects.

Job Description

• Education: Bachelor/Master in Computer Science, Electronic Engineering, Telecommunications or equivalent;
• Expertise in IP network switching and routing protocols, TCP/IP stack is highly desirable;
• Hands-on experience with Linux;
• English level – upper-intermediate;

Would be a plus:

• Superior problem solving, analytical and communications skills;
• A strong understanding of IP protocols and telecommunication/cable operator networks;
• Experience in a technical support organization in a broadcast, communication, satellite, cable, telco or a similar domain;
• Experience with bash/python scripting;
• Experience with Salesforce, Jira, Confluence;
• Ability to work on flexible hours.

This position requires not frequently travel (once per quartal approximately).

Job Responsibilities

• Responsible for integration and support in assigned product areas to Harmonic’s regional customer support engineers and, when necessary, customers who are diagnosing, troubleshooting, repairing and debugging complex system problems involving Harmonic and associated equipment;
• Report and track design, reliability and maintenance problems or bugs to R&D engineering groups;
• Assist, and implement both hardware and software upgrades to the existing Harmonic customer base.

Department/Project Description

Harmonic is a leading provider of innovative broadband solutions that deliver video, voice, and data to communications providers around the world. GL team participates in the development, QA, and support of several generations of such solutions.

Requirements:

• Bachelor’s in software engineering, Electrical/Electronics Engineering, or related field
• At least 5-8 years of progressive experience in software development with a focus on AI/ML techniques
• Strong experience in developing and fine-tuning ML models
• Experience hands-on with one or more of the following: Open3D or MeshLab or Blender or Ansys
• Knowledge and experience with U-Net or CNN for image analysis and segmentation
• Experience with Data Cataloging, Data setup in S3 – EDA on data and pipelining for SageMaker
• Strong programming skills in Python or C++ programming 
• Experience with scripting languages such as Shell, Batch, Bash and Linux commands
• Strong analytical skills, capable of uncovering anomalies in robust software
• Experience with Windows and Linux operating systems
• Experience with JIRA or any similar bug tracking tools 

Expert in AI/ML computer vision techniques to develop intelligent systems capable of automatically segmenting surgical videos into distinct phases, identifying critical moments, and recognizing surgical instruments and techniques.

• Has experience hands-on with one or more of the following: Open3D or MeshLab or Blender or Ansys
• Has knowledge and experience with U-Net or CNN for image analysis and segmentation
• Has experience with Data Cataloging, Data setup in S3 – EDA on data and pipelining for SageMaker

This role requires expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), computer vision libraries, and cloud-based AI services (like AWS SageMaker or Google Cloud AI).

Capable of developing user-friendly interfaces for surgeons to interact with the AI-generated insights.

Key responsibilities include:

• Designing and implementing deep learning models for real-time video analysis.
• Creating automated annotation systems that label procedures, instruments, and anatomical structures.
• Developing algorithms to extract quantifiable metrics from surgical performances.
• Working on a task related to the measurement of dimensions in images

Project description:

Join us to build the connected vision intelligence layer that unifies surgical imaging, robotics, and data services across the operating room portfolio spanning endoluminal, orthopedics, and the next-gen general-surgery platform, while powering the digital ecosystem in hospitals. You’ll help transform raw surgical video and device signals into real-time insights, collaborative telepresence, and longitudinal case intelligence used before, during, and after procedures. First product releases include surgical video editing/publishing and telepresence, rolling out to select sites in the near future.