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• Strong Product Designer profile, with both UI and UX works for B2C Products
• Mandatory (Experience 1) - Must have a 3+ YOE in end-to-end Product Design, including UX work like UX Research, User Persona, Workflows
• Mandatory (Experience 2) - Expertise in tools like Figma, Sketch, Adobe XD, and others to create high-fidelity wireframes and prototypes
• Mandatory (Portfolio) - Must have a strong portfolio of UI/UX of Good B2C products. Portfolio must show detailed case studies including Wireframing, Prototype, Interaction Design and Visual Designs
• Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy.

Roles & Responsibilities:

• Collaborate closely with clients to understand their requirements, goals, and any gaps.
• Lead the planning, prioritization, design, development, and deployment of projects.
• Possesses in-depth knowledge and expertise in Workday Integrations and Workday Extend Platform.
• Support existing Integrations and Extend apps by resolving issues and enhancing to add new functionalities.
• Act as a subject matter expert for Workday Extend and provide guidance to clients and colleagues.
• Stay updated with the latest industry trends and developments using Integrations and Extend.
• Collaborate with sales and business development teams to identify new opportunities and contribute to proposal development.
• Utilize your business knowledge and expertise to identify opportunities for technical improvements.
• Work with colleagues across various domains to deliver results and take ownership of both individual and team outcomes.
• Recognize and embody our purpose and values, applying them in your projects and client interactions.
• Foster relationships and communicate effectively to positively influence peers and stakeholders.

Qualification & Experience:

• At least 3 years of experience in Workday Integrations and 2 apps development using Extend is required.
• Passion towards technical development and critical ability to understand current code and resolve issues. 
• Deep understanding of Workday Extend platform, including building custom applications and integrations.
• Strong understanding of REST and SOAP APIs, with experience in integrating Workday with third-party systems. 
• Good knowledge of Integrations and Extend security framework.
• Ability to work with HR, finance, and IT teams to align technical solutions with business needs.
• Strong professional communication skills, both written and verbal.
• Ability to work effectively in a team-oriented environment.
• Proven ability to establish relationships with stakeholders and internal teams.
• Excellent attention to detail and follow-through.

Greetings , Wissen Technology is Hiring for the position of Data Engineer

Please find the Job Description for your Reference:

JD

• Design, develop, and maintain data pipelines on AWS EMR (Elastic MapReduce) to support data processing and analytics.
• Implement data ingestion processes from various sources including APIs, databases, and flat files.
• Optimize and tune big data workflows for performance and scalability.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Manage and monitor EMR clusters, ensuring high availability and reliability.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and store data in data lakes and data warehouses.
• Implement data security best practices to ensure data is protected and compliant with relevant regulations.
• Create and maintain technical documentation related to data pipelines, workflows, and infrastructure.
• Troubleshoot and resolve issues related to data processing and EMR cluster performance.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering, with a focus on big data technologies.
• Strong experience with AWS services, particularly EMR, S3, Redshift, Lambda, and Glue.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data frameworks and tools such as Hadoop, Spark, Hive, and Pig.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience with SQL and NoSQL databases.
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Strong problem-solving skills and the ability to work independently and collaboratively in a team environment

We are looking for a QA Tester to assess software quality through manual and automation testing. You will be responsible for finding and reporting bugs and glitches.

In this role, you should have a keen eye for detail and excellent communication skills. If you are also competent in executing test cases and are passionate about quality, we’d like to meet you.

Ultimately, you will ensure that our products, applications, and systems work correctly.

Responsibilities

Review and analyze system specifications

Collaborate with QA Engineers to develop effective strategies and test plans

Execute test cases (manual or automated) and analyze results

Evaluate product code according to specifications

Create logs to document testing phases and defects

Report bugs and errors to development teams

Help troubleshoot issues

Conduct post-release/ post-implementation testing

Work with cross-functional teams to ensure quality throughout the software development lifecycle

Requirements

Proven experience as a Quality Assurance Tester of a minimum 4 years

Must have knowledge in API and Selenium Automation

Must have knowledge of SQL and Linux

Working knowledge of test management Excellent communication skills

Strong organizational skills

Base Criteria

Candidate should be comfortable with APP and UI Testing (Must)

Candidate should be able to write excellent Test cases (+ve and -ve)

Candidate should be good at logical implementations

Candidate should be good in Communication and work approach

Candidate should have a good solution-oriented approach

Candidate worked with a premium Institution or premium product/app will be a great plus

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-fri role, In office, with excellent perks and benefits!

Position Overview

We are seeking a Software Architect to lead the design and development of high-performance robotics and AI software stacks utilizing NVIDIA technologies. This role will focus on defining scalable, modular, and efficient architectures for robot perception, planning, simulation, and embedded AI applications. You will collaborate with cross-functional teams to build next-generation autonomous systems 9

Key Responsibilities:

1. System Architecture & Design

● Define scalable software architectures for robotics perception, navigation, and AI-driven decision-making.

● Design modular and reusable frameworks that leverage NVIDIA’s Jetson, Isaac ROS, Omniverse, and CUDA ecosystems.

● Establish best practices for real-time computing, GPU acceleration, and edge AI inference.

2. Perception & AI Integration

● Architect sensor fusion pipelines using LIDAR, cameras, IMUs, and radar with DeepStream, TensorRT, and ROS2.

● Optimize computer vision, SLAM, and deep learning models for edge deployment on Jetson Orin and Xavier.

● Ensure efficient GPU-accelerated AI inference for real-time robotics applications.

3. Embedded & Real-Time Systems

● Design high-performance embedded software stacks for real-time robotic control and autonomy.

● Utilize NVIDIA CUDA, cuDNN, and TensorRT to accelerate AI model execution on Jetson platforms.

● Develop robust middleware frameworks to support real-time robotics applications in ROS2 and Isaac SDK.

4. Robotics Simulation & Digital Twins

● Define architectures for robotic simulation environments using NVIDIA Isaac Sim & Omniverse.

● Leverage synthetic data generation (Omniverse Replicator) for training AI models.

● Optimize sim-to-real transfer learning for AI-driven robotic behaviors.

5. Navigation & Motion Planning

● Architect GPU-accelerated motion planning and SLAM pipelines for autonomous robots.

● Optimize path planning, localization, and multi-agent coordination using Isaac ROS Navigation.

● Implement reinforcement learning-based policies using Isaac Gym.

6. Performance Optimization & Scalability

● Ensure low-latency AI inference and real-time execution of robotics applications.

● Optimize CUDA kernels and parallel processing pipelines for NVIDIA hardware.

● Develop benchmarking and profiling tools to measure software performance on edge AI devices.

Required Qualifications:

● Master’s or Ph.D. in Computer Science, Robotics, AI, or Embedded Systems.

● Extensive experience (7+ years) in software development, with at least 3-5 years focused on architecture and system design, especially for robotics or embedded systems.

● Expertise in CUDA, TensorRT, DeepStream, PyTorch, TensorFlow, and ROS2.

● Experience in NVIDIA Jetson platforms, Isaac SDK, and GPU-accelerated AI.

● Proficiency in programming languages such as C++, Python, or similar, with deep understanding of low-level and high-level design principles.

● Strong background in robotic perception, planning, and real-time control.

● Experience with cloud-edge AI deployment and scalable architectures.

Preferred Qualifications

● Hands-on experience with NVIDIA DRIVE, NVIDIA Omniverse, and Isaac Gym

● Knowledge of robot kinematics, control systems, and reinforcement learning

● Expertise in distributed computing, containerization (Docker), and cloud robotics

● Familiarity with automotive, industrial automation, or warehouse robotics

● Experience designing architectures for autonomous systems or multi-robot systems.

● Familiarity with cloud-based solutions, edge computing, or distributed computing for robotics

● Experience with microservices or service-oriented architecture (SOA)

● Knowledge of machine learning and AI integration within robotic systems

● Knowledge of testing on edge devices with HIL and simulations (Isaac Sim, Gazebo, V-REP etc.)